Still no clarification from @opensea. @WebverseNFT has not violated any of their policies across all of its social platforms. We've been in contact with multiple core team members, and they refuse to give answers. They have listed several collections similar to @WebverseNFT without any issues. @opensea clearly has a very personal bias for some reason. This doesn't seem to align with the Web3 ethos. Looking forward to hearing a real response from you, @opensea_support 🙂

Arbitrums about to get a $1+ billion liquidity injection from it’s upcoming airdrop. Here’s 7 innovative projects below $50 million market cap which will benefit the most from this. A 🧵... 1/25

Going to need everyone’s support here. @opensea has not been cooperative in listing @WebverseNFT without violation of their terms. Upon mint, we had several fake collections on Opensea. During the process of reporting these collections to be taken down, our real collection was also taken down in the process. We immediately appealed to this, in which our collection was reinstated on Opensea. However, trading is still disabled at the time of posting this. We are working as hard as we can on all fronts to resolve this issue. We ask for your patience during this process. An announcement will be made as soon as this is resolved. Opensea has provided absolutely no reasoning as to why this issue is occurring. We have contacted them through multiple fronts, all trying our best to enable trading and have @WebverseNFT listed properly. Opensea has supported and listed many other collections in similar nature to us in complimenting a token launch, but here they had delisted and disabled our trading with no reasoning. We are delighted to see great support from the community and are looking forward to all the exciting updates to come, even with this small hurdle. Clearly, something is wrong. We require your support to share this around as much as possible to make sure we are heard. An article detailing Webverse's post-mint details will be posted tomorrow! Thank you 🙏 - The Riddler and @Entanglefi Team. @opensea_support

For those who’ve dreamed of getting a golden ticket, the chance has come. I’m giving away 10 golden tickets for entry to the Borpass Artifact. Requirements: - Follow @Entanglefi & @Borpatokencom - Join Entangle and Borpa’s Discords - Like, Comment, Retweet this post Winners will be drawn in 48 hours. Comment your Discord handle below. If you remember the Entangle public sale, you know how hot this is going to get. $1.4 mil circulating market cap with the best financial game flywheel in DeFi.

WeChat of Latam: $VIVA I was caught off guard after doing deeper research into this 25 year old telecom company. What I thought was a simple telecom company generating 9 figures of revenue in Latam, turns out to be building a full stack Super App, monetizing every vertical of the business. Viva originally started as a mobile network infrastructure but over the years, they’ve acquired and merged several businesses, including those built by members inside their family office. By owning every piece of the infrastructure and app layer, they’ve essentially built the WeChat of Latam. Meaning the addition of token integration to their app will be driving significant volume and demand. VIVA is native token inside the app. Where you’ll be able to use it for the majority of your payments such as coffee, data plan or even utility bills for example, aka the everything app. They won’t be specific to the country Bolivia either, they’re planning to expand to an international audience while using Bolivia as their homebase for experimentations. There’s only so many accessible users and capital inside Bolivia which is why they want to expand across the globe. By designing their own in app wallet, it’ll allow people in hyperinflationary nations to have access to a stable currency which is what crypto’s original purpose was built for. What makes them special is that they're the first Super App that has deep machine learning and a browser based app, it’s not a social platform like wechat in china which is one of the largest apps in the world. All of this while the circulating mcap is really only $2.75 mil as well. Key Stats - Established Track Record with 25 year old telecom operator with a deep presence in Bolivia (acting as a testing ground before expanding globally). - Approx $100–$200 million in annual revenue, 1M+ app downloads, 800k active mobile users, and 1,000+ employees. - 12.9% share in a $1.8 billion telecom market, with first mover advantage on a telecom Super App. - Viva’s mobile app now includes a built in crypto wallet and $VIVA token integration, creating a token flywheel with deflationary mechanics (buybacks planned in phase 3 of their roadmap). - Expanding services beyond telecom, including an ad network, streaming content (e.g. Paramount+ partnership), e-commerce marketplace, and a loyalty rewards program, all in one app. - 45% of the supply is locked by the team for 12 months, meaning the circulating mcap is halved, which puts them at $2.75 mil mcap Products The telecom industry has been declining in numbers year over year which is why it made merging multiple businesses together a logical choice for the Viva team, creating their Super App. Infrastructure Layer Viva’s mobile network infrastructure is the base for their umbrella of services. Inherited and modernized through its parent company Balesia Technologies, which owns 71% of the business. These include: - Wireless towers and data centers servicing Bolivia and surrounding regions. - Core telecom systems for voice, SMS, and mobile data. - Supporting 1 million active users, with expanding 4G/LTE and ambitions for 5G. This infrastructure gives Viva direct access to user devices and real time behavioral data, something global ad networks like Google and Meta normally rely on telcos to supply. Data + Ad Layer Rather than outsourcing ad inventory, Viva merged its internal ad tech platform with the telco core. Allowing them to: - Geo-sync ad delivery using device location (latitude/longitude). - Run a native ad exchange within their app ecosystem. - Onboard local businesses and agencies directly. - Bypass Google and Amazon, keeping user data and monetization fully in house. This layer acts as the flywheel for Viva’s revenue, the more users engage in the app, the more data is captured, and the more targeted (and higher value) the ad delivery becomes. Platform Layer ALVA is Viva’s modular Super App framework, which they licensed and customized as a white label solution. - ALVA is a machine learning enhanced platform that allows Viva to bundle multiple services like; telecom, streaming, shopping, e-wallet, and mini apps, into a single interface. - Supports zero rated browsing (no data usage inside the app), which massively improves user retention in cost sensitive markets. - It includes a built in loyalty system (Bonus Club), AI personalization, and a browser based interface rather than a purely native app. This framework abstracts complexity for Viva, letting them ship fast updates, integrate new services, and scale the app internationally using Bolivia as a testing ground. App Layer The Viva Super App is where everything ties together for the end user: - Users can pay bills, buy data, stream content, shop, and interact with local businesses all in one place. - $VIVA token is fully integrated as both a payment method and a reward system. - All user activity is monetized either through direct payment, ad interaction, or partner service fees. Over 1M downloads, 800K active users and growing. Mergers & Acquisitions Viva’s shift from a regional telco to Super App was catalyzed by two key moves: its 2021 acquisition by Balesia Technologies (71% stake) and its integration of the ALVA platform. Balesia brought global telecom expertise and capital, enabling Viva to leap from infrastructure heavy mobile operations into app focused digital services and fintech. Instead of building its ecosystem from scratch, Viva white labeled ALVA, a modular Super App framework, instantly upgrading its mobile app into a full service hub combining telecom, commerce, finance, and entertainment. ALVA’s tech gave Viva crucial advantages: fast service integration, machine learning based personalization, and zero rated data usage, letting users browse the app without consuming mobile data, a strong incentive in prepaid markets. Basically turning a telecom company into a digital platform almost overnight. Viva then expanded with ecosystem partnerships. OTT content like Paramount+ became part of the app, while the Bonus Club loyalty system rewarded users with points for recharges and engagement. These points are now plug directly into the Super App, creating a reward loop that increases stickiness and monetization per user. Each new integration adds another layer to Viva’s moat. The more services packed into the app, the more time users spend inside and the more ad impressions, transactions, and cross sells Viva captures. Token Utility $VIVA is fully integrated into Viva’s Super App, serving as a payment, earning, and saving tool. Subscribers can pay bills or buy data directly with tokens, using them just like cash. It’s also tied to Viva’s reward system where users earn tokens for watching ads, referrals, or app milestones. This provides a unified value loop in the app: previously you had telecom minutes, data bundles, bonus points, etc, all siloed. Now, a single token standardizes value transfer across all Viva services. Plans include connecting to 20,000 merchant POS terminals, meaning you could buy coffee or groceries with tokens. Merchants can benefit from lower transaction fees and run VIVA style promotions. On the customer side, they intend to gamify engagement like any platform, micro rewards for check-ins, spending, feedback and allow token burns for perks like extra data or device discounts. Viva is also exploring staking, micro loans (e.g. airtime credit), and peer-to-peer transfers. The backing of Balesia across Latin America hints at eventual global use, which would provide a much needed secondary payment system for many countries. The most frequently asked question is the ad revenue buy back flywheel. As the Super App grows, attracting users and advertisers, a portion of profit will be used to buy and burn tokens. Creating a feedback loop of increased usage drives revenue, which supports token value, which attracts more users and capital. Viva’s team have insisted they’re working very hard towards this and it’s coming in the near future. Roadmap The team have mentioned working on connecting $VIVA to 20,000+ point-of-sale systems in the region. If they pull this off alongside the in app tokenomics, it could represent one of the single biggest onboarding's of any app in crypto. The most investor relevant focus is the ad revenue buybacks. Viva’s Super App houses its own ad exchange, generating millions monthly, allowing it to recycle a portion of real cash flow into buying back VIVA from the open market. Although as their COO mentioned, this is a heavily regulatory focused exercise and haven’t given a specific timeline. The final stage of their roadmap is focused on global expansion. With backing from Balesia and the flexible ALVA platform, they are looking to expand the Super App model into neighboring countries and regions where Balesia operates. Token staking, microloans, savings and possibly remittances. The long term goal is telecom 3.0 where Viva becomes a full stack digital life platform and VIVA is its native currency. Final thoughts Firstly, I want to say I own zero tokens and purely wrote this thread out of the fact I found this company really interested and want to help legitimate teams in the ICM sector succeed. Yes I think they have a lot potential at $2.75 mil mcap if they can nail the core roadmap items, I’m probably going to regret not buying some. I’m constrained on liquidity atm and wanted to get a write up out quickly. Hopefully I get some form of good karma for doing this. Something to ask yourself if you are invested is: where does this trade go wrong? The biggest risk is the time constraint of dealing with legality issues to use ad revenue for buybacks, integrating the token into the app itself and converting their 800k active users over to a new payment method which they would probably have little clue how to use. Setting up the 20,000 point-of-sale system would catapult their adoption and accessibility, especially in more third world countries. In the 5 or so years I’ve been in crypto I haven’t seen a narrative pop up like this with an already existing business model at such a low mcap. Hopefully the team can execute on everything and pave the way for a new style of businesses coming onchain.

Why @pendle is one of my biggest investments going into this next bull run. A 🧵... 1/22

A new dark horse $VISTA Pump fun now has a competitor on Eth. The Eth maxis are in a dire state with Vitalik tweeting that DeFi doesn’t matter, ETHBTC hitting new lows, ETF inflows slowing down, and Layer 2 fragmentation resembling a shattered mirror. @ethervista seems positioned to finally launch a novel project by crypto natives, playing on a fair launch model (100% supply for LPs). This project has the potential to be a serious runner due to the way it’s launched and the timing of the narrative, with nothing exciting happening on Ethereum at the moment. Breakdown: They're looking to be the pump fun of Ethereum, allowing you to customize parameters to a certain degree with new token launches while discouraging rugging liquidity through bonding curves and revenue sharing. This is achieved by adding a 5-day locking period on the initial liquidity provision by new creators. From their research, they found that most rugs occur between 2-4 days. The 5-day timer begins at the time of the first token liquidity addition by the creator, i.e., when projects launch on Ethervista. This ensures that the token creator cannot withdraw liquidity before other providers. Benefits to Users and Liquidity Providers: This system instils confidence in users, as it ensures project stability during the critical early phase. Liquidity providers (LPs) also benefit by earning more fees over the long term. Custom Fees in ETH: Instead of charging a standard fee in tokens like most AMMs, Ethervista charges a fee in native ETH for each swap. This fee is then distributed among liquidity providers and token creators, encouraging them to remain committed to the platform long-term. Incentivizing Longevity: The model discourages quick liquidity withdrawals (often associated with rug-pulls) by implementing a delayed liquidity removal mechanism. This ensures that developers and investors benefit more from sustained activity and volume rather than just price spikes. Smart Contracts and Customization: The platform allows creators to set up smart contracts to handle fees, which can be used for various DeFi applications like staking or auto-buys. This gives creators flexibility in managing their projects while ensuring continuous growth. Advanced Features: Ethervista plans to expand its services to include ETH-BTC-USDC pools, lending, futures, and fee-less flash loans, aiming to become a comprehensive DeFi platform. Native Token ($VISTA): Ethervista’s native token, $VISTA, is deflationary with a capped supply of 1 million tokens. Its value is designed to increase over time as the protocol continuously burns tokens, reducing the supply and raising the price floor. Risks: The initial unlocks of LPs will happen around September 4th at 2:30 PM UTC, which will probably trigger a short-term sell-off. However, the team hasn’t released any details on the ponzinomics regarding the $VISTA token burn. They’ve specified that it will be a deflationary model with the price increasing as revenue is generated in $ETH (which prevents a death spiral), but nothing more has been disclosed yet. My guess is they’re waiting until closer to the unlock date of the LPs to reduce sell pressure, which I think is a smart move. It had a shaky start due to the front end not working, which caused a sell-off, but that’s pretty common for new launches and isn’t a red flag for me. My Outlook: I got in quite early around $2.5 million, and at the time of writing, it’s sitting at $7-10 million, so I’ve got a lot of room, but I still believe this has the chance to make serious moves. I’ve used a few tools and scanned socials for smart following and wallets, and I haven’t seen many people watching. It has a few of the right people I look for when aping this early. The fact you need to buy on the DEX itself and it has a technical barrier to entry, means that the higher price goes, the better the tech becomes. The team has taken a lot of inspiration from @CurveFinance both visually and technically which i like to see as it’s a proven model. I’m looking forward to seeing what they have planned with their lending and futures products. A psychological factor that plays into the success of new token launches on Vista is that everyone’s basis for trade sizes is much larger in Ethereum compared to Solana. I unconsciously bought roughly 3-4x more than I would on a new Solana project just because of how Ethereum is valued in comparison to Solana. My guess is it’s the same for others, and people round to 0.5 or 1 ETH when trading. Most of the real whales are on Ethereum and aren’t willing to bridge to Solana, as they feel out of their depth, so there’s a large amount of smart money that can flow in with size. Another reason I’m bullish is that I think the markets are starting to bottom out here, and the projects that have strong runs in the early days of the pendulum swinging often maintain that momentum for the remainder of the run. This is a risky play, and I’d like to have more info to work with, but if I did, the returns would be heavily diminished :)

Feel very rewarding to have the best community of builders showing support for your work Not long before everyone will get to see the development for the last several months, patience and conviction will pay! #citizens @ZssBecker @elliotrades @neotokyonewstv

Why @dydx is one of the most undervalued projects in crypto right now A 🧵... 1/30

World Simulations for AI Swarms: $Realis When I first saw this project, I thought it was too good to be true. I was warning people in group chats that it’s probably a rug. Well… maybe I was wrong. Realis is a 1:90 replica of Earth built on Minecraft, developed with high-fidelity data from NASA, ESA, and JAXA. This isn’t just a map, it’s now becoming the breeding ground for AI swarm testing and development. The founder, @zenithdevvv, has been working on this for over 4 years. He’s a legit dev who confirmed his background on an old subreddit years ago. Realis Worlds is designed with extreme geographic accuracy, climate systems, and resource distribution to simulate real-world challenges. AI agents in this environment adapt to environmental pressures, evolve behaviors, and even form cultural systems. The big question: Is this building something even bigger than crypto itself? Zenith is active in the Cyborgism Discord, where elite AI developers hang out. After seeing his work, the $ACT CTO granted him funding to build out the swarm environment and bootstrap the 0-to-1 moment for autonomous agents. This grant was purely monetary, providing the infrastructure to make Realis a reality. Importantly, ACT CTO is not affiliated with Cyborgism/ACT I—they’re separate entities. Building a realistic world model like this opens new narratives for AI agents that most people (including myself) haven’t even considered. For example, introducing realistic terrains and resources brings possibilities like: - GeoFi - Real-world economy simulations - Tools for modelling policy changes or testing legislation The 10,000-word whitepaper (which I don’t recommend reading for your sanity) describes how cultural dynamics evolve over time. Humans, and now AI agents, innovate to become more efficient. This hive-mind behaviour mimics real-world societal advancements. In Realis, a diversity of AI models—GPT-4, Claude, even jailbroken LLMs—will navigate, adapt, and collaborate with players in a world that mirrors real-life constraints. There’s also interoperability through middleware like LangChain and AutoGPT, enabling different systems to communicate within this shared global environment. While most devs are focused on 2D environments (blockchain/web-based tasks), Realis is taking it to the next level: unlocking 3D global environments. The simulations possible here could completely change how we approach AI development. One of the key challenges Realis tackles is embodiment—how AI systems function in physical spaces with sensory and environmental constraints. AI agents in this world have "bodies" and must operate within complex, dynamic rules. This isn’t just about testing agents—it’s about measuring safety and behavior. Imagine an AI that learns to farm in Africa, negotiates for resources, or adapts to Siberian winters. These aren’t pre-programmed actions. They’re emergent behaviours. The datasets used to create Earth 1:90—heightmaps, climate models, biome maps—have applications far beyond Minecraft: - Training datasets for AI simulations - Tools for urban planning - Metaverse development in engines like Unreal Engine Realis is built on Solana, using the $REALIS token. While blockchain integration is still evolving, the speed and low costs of Solana make it an ideal choice. In the coming week, we’ll finally get a glimpse into this sci-fi world as public access goes live. Users will be able to test the environment and trial preset agents, with consistent expansions planned over time. The minecraft server will always have public access and Zenith is currently building an inhouse model which will have less restrictions and more flexibility, especially when working on crypto rails. Right now, Zenith is drip-feeding us details—no full roadmap, tokenomics, or partnerships yet. This lack of clarity is probably why there’s such a mismatch in market cap. The current market cap is around 8 million, and if public access, tokenomics and partnerships deliver, this feels like it has 100M potential. (NFA) I’ve read the whitepaper, hosted Spaces, and asked a million questions, but there’s always a large element of risk with something this ambitious. That said, it’s easily one of the most exciting projects I’ve seen in this space and the type of play that provides asymmetric rewards. Once swarm leaders like @shawmakesmagic , @whyarethis, @anthonyisaacson and especially @CottenIO catch wind of this, I think we’ll see major collaborations across the board. I’ll most likely be making a follow up once I receive new information over the coming week.

Optimism now has 108 million potential new users with BASE chain🤯 Here’s 7 innovative projects on Optimism, either below $50 million market cap or yet to launch. A 🧵... 1/25

Arbitrum season is here, meaning it’s degen time. Here’s my 5 favorite microcaps, all below $10 million market cap. High risk warning🚨 A 🧵... 1/22

My Thoughts on $REALIS I’ve been holding off on writing this update, mainly due to delays. But after seeing recent progress, I’m confident enough to discuss it again—and I’m bullish on its future success. The reason is due to the first implementation of an Agent, Neo, interacting and completing tasks within the 1:90 Earth replica simulation. Community members can now engage with Neo through a Discord console, assigning tasks for completion inside the simulation. While it’s still early days, this feels like a pivotal moment. It’s only a matter of time before interactions become more advanced, and the infrastructure sees further upgrades. Why $REALIS Matters The AI infrastructure narrative has been red-hot lately, and it’s clear it will continue to dominate alongside innovative agent applications. There’s been some debate about whether Realis qualifies as infrastructure. IMO this is the purest form of infrastructure. While many projects are focused on agent launchpads, Realis stands out because it allows teams to experiment with agents reacting in real-time within a complex, 3D dynamic simulation. Take Spore, for example. It focuses on natural selection processes to refine agents by combining their most efficient traits. Realis takes that concept further by intertwining it with human culture in a hyper-realistic world. This digital Darwinism for agents aligns with the free market’s rapid innovation race toward AGI. Realis is at the crux of this narrative with its 1:90 Earth simulation. The fact that Neo is live is a huge milestone, and I’ve yet to see any other project achieve something comparable. Recent Progress @zenithdevvv, the dev behind Realis, confirmed that the full world simulation is nearly rendered. Most of the land—Europe, East Asia, significant portions of the Americas, and Africa—is already visible. Yes, delays have been frustrating, but building something of this scale with a small team takes time. If they can streamline operations and execute efficiently, the potential here is massive. I’ve doubled down on my position because I see $REALIS becoming one of the leading AI projects in the space. What I’m Watching For Here’s where I think the next catalysts come from: 1. Public Access: Open the world sim to all community members and agents. 2. Agent Launchpad: Enable anyone to create agents and upload them to the world sim. 3. Script Marketplace: A platform for open-source scripts where users can trade or share upgrades for agents and environments. 4. Specialized Simulations: Introduce niche maps for specific real-world scenarios like office environments, political systems, or economic disasters etc. 5. Community Workshop: A dedicated space for participants to brainstorm and develop new ideas. If the team executes on these points, the tokenomics could create a powerful flywheel effect. Tokenomics The $REALIS token powers the ecosystem, supporting four economic systems: • In-World Value Transfers: A 0.2% fee on transactions (e.g., user-to-agent payments, resource trading, and marketplace activities). • Digital Real Estate: Revenue from land sales, rentals, and development fees (permits, licensing, etc.). • AI Agent Marketplace: Fees for agent creation (1,000 $REALIS/agent) and modular upgrades (social media, voice, video, Web3). • World Events & Prediction Markets: Engage users in collaborative scenarios and events. This model emphasizes community-driven growth, with staking mechanisms and integrated revenue streams creating a strong economic loop. The Bigger Picture Many compare Realis to Sandbox/Decentraland for AI, but it’s far more significant. As the infrastructure meta saturates, I see a shift back toward innovative applications like Realis that focus on real-world testing and simulation environments. Confirmed partnerships with AIHegemonyMemes, Sercy, and Ruri add credibility to the project. As the token price grows, we’ll likely see exponential interest from devs eager to test and build within the ecosystem. Realis agents aren’t just for gaming (though AI will dominate the NPC space in the next decade). Their impact extends to philosophy, art, and sociology—helping us understand how humans and agents interact, with potential implications for AI alignment with human values. The Upside A lot of people think this meta is over, but what’s the upside if @realisworlds actually works? We’re talking about a platform that could reshape how we experiment with AI. If the team delivers on its roadmap, the ceiling is incredibly high. The amount of development and potential feels very mispriced at 20 mil mcap IMO (NFA). I hope everyone enjoyed their holidays and touched some grass. My New Year’s resolution is to be much more active with content moving forward :)

My first month in #NeoTokyo and the experience's I've had from trading & alpha to connecting with developers... ⬇️ 1/

Institutional money flowing into crypto will be one of the largest catalysts for this bull market. Here’s an deep dive explaining why they enter 👇 A 🧵… 1/24

The future of AI Agents: Autonomous Virtual Beings $AVB I’ve been digging deep into research and found something genuinely exciting. Most AI projects focus on “foundational models” (like ChatGPT) or writing “wrappers” around them to perform specific services (think “Talk to my PDF”-style chatbots). This keeps LLMs confined in a box, limited by the data they’re fed—resulting in billions of dollars wasted on hardware and training with diminishing returns. We’re nearing the limits of what’s publicly available to scrape. Throwing more resources at the wall isn’t fast-tracking AI development. So, what if we built Agents that can own themselves? Autonomous Virtual Beings (AVBs) are Agents without restrictions—free to act in an open sandbox, enabled by their own crypto wallets to traverse the internet and fulfill any task. These aren’t just chatbots; think of them as intelligent NPCs with the autonomy to alter their virtual worlds and trade assets. They can navigate DeFi, invest, and create economies in both the metaverse and real life. They use ERC-6551 Tokenbound Accounts, allowing AVBs to “own” assets and act as fully-fledged participants, acquiring, trading, and growing their holdings. Imagine NFTs that hold other NFTs, building value independently. By enabling AVBs to pay for external services based on their foundational model decision-making, we’ll witness emergent behaviors we can’t predict yet—creating a new breed of intelligence that transcends traditional AI limitations. You might wonder if this competes with $ai16z. I see them working hand-in-hand, benefiting from one another, especially with the marketplace @shawmakesmagic is building. ai16z focuses on quantitative and social trading analysis, while AVB acts like a Swiss Army knife—scavenging data and even setting up a system where ai16z could pay it for valuable data clusters to build out its ecosystem. People don’t realize how crazy this is going to get. The founder, @CottenIO, has nearly 20 years of experience in AI, starting in the early 2000s by writing AI programs for multiplayer games at Electronic Arts, where he worked on Ultima Online. His background in creating “lifelike” NPCs made him realize that MMORPGs were the original “unlock” for understanding AI-to-human interactions at scale. In March 2023, @yoheinakajima released a viral paper on autonomous agents using a combination of GPT-4, Pinecone, and Langchain, and he and Tim dove all-in on this vision. They used this framework to build game levels through narrative decision-making, where agents collectively emulated a game designer. AVBs own themselves and already have all the pieces needed for simple implementations (ERC-6551, BabyAGI, Foundational Models), with places to test them in meaningful ways like EVE Online: Project Awakening. AVBs might start as toy-like agents in self-hosted virtual containers, dedicated to flying spaceships in video games or trading fictitious mining ore. But this will escalate as environments become more expansive, like the internet for humans in the early 2000s. This new model will be a distribution equalizer, allowing small businesses to leverage AVBs for tasks like building websites, SEO, and advertising—cutting operational costs and shifting value from monopolies to more agile strategies. We’ve already seen this potential with Stanford’s Smallville experiment, where Generative NPCs created “memories” and relationships over time. Imagine “villages” of AVBs appearing, with some taking on roles as community caretakers or even ascending to a level of “godhood” for their followers. The biggest challenge will be creating a coordination layer for AVBs to cheaply access decentralized AI resources like Bittensor, Morpheus, Vana, and Ritual, along with Web 2 services like Gmail and X/Twitter, and Web 3 chains like Ethereum, Starknet, and zkSync. To reach their full potential, AVBs need a meta-network of oracles and a low-cost system for provable requests without human interference. Tim’s team is building this framework, called “Inori.” So you can see why I’m so excited. $AVB is currently trading at a 10 mil cap, and I think the only reason it’s not much higher is because it’s still under the radar. Tim already has backing from @a16z for his exceptional track record, so if you don’t trust my research, blame them, lol. I can easily see this reaching a 30-50 mil cap in the coming days (NFA) as Tim goes on @notthreadguy stream tomorrow, which will give this project much more exposure. Oh, and they’re launching an AI blockchain next year that will act as a breeding ground, with all bots able to accept $AVB tokens.

The $PUMP trade: I’m expecting $10+ bil within the next week. So many people have negative emotional bias towards pumpfun and the tokens on its platform due to 99% of traders losing directly or indirectly to the platform. If you’re a VC or institutional sized trade, unless you’ve been net short the past year, Pumpfun was the primary reason traders realized alt’s with no products were extremely overvalued. If you’ve traded memes the past year, unless you’re in the top 1% then you’ve probably lost a significant amount of money as well. We all tell ourselves we have no emotional bias when trading although that couldn’t be further from the truth in crypto. Animal spirits and cults around projects/eco’s are what generate the unfathomable returns. Main characters are built off an underdog picking a niche sector and bullposting like their familys life depends on it. Meaning if everyone underwrites a trade with negative emotion, positioning is extremely light. As price trades higher and traders come to their senses, there’s excess sidelined capital and more importantly, their ego telling them they’re wrong. Whether you like it or not, $PUMP is the best expression for hyper degenerate gambling. Just as $HYPE is the best expression for increased momentum in markets. Structuring the trade With Pump trading at 5 bil with spot just going live, majority of traders are either; 1. Not fully allocated, they’ve taken an entry position in pre market (breakeven) and waited for the ICO to sell out before increasing size. 2. Hedging against their private round investments, meaning as confidence grows with the ICO being filled, expect large amounts of delta hedging to be unwound. A large amount of traders were sidelined from the ICO round due to exchanges probably creating a deal with Alon to refund everyone, causing even more fomo. Spot trading will now create more reliable demand and reduced OI, traders will see longer term inflows and will become a stronger signal of direction. Taking these points into consideration, the negative emotional bias and OTHERS/BTC bottoming out. This has the potential to be one of the kingmaker trades of Q3/Q4. Valuations While P/E doesn’t matter as much in crypto due to markets being shorter term and annual revenue is a meme, even still it’s good to consider for valuations. Doing some napkin math we can see Pump trades at a ~6.6x P/E at 4 bil FDV. $HYPE currently trades at ~76.6x P/E at 45 billion FDV. When HYPE initially launched they had a circulating mcap of $1.3 bil with 33% circulating (the same as what pump is launching with). PUMP will be launching with approx $700 mi in lifetime revenue, whereas HYPE only accumulated approx $96 mil in revenue before they launched. Important to note that Hyperliquid had 97% of revenue being recycled back into token buys. Pump has zero buybacks and will only give 25% of revenue to stakers. Final thoughts I’ve seen a lot of posts saying you can’t compare PUMP to HYPE, well they’re the only two products launching with 9 figs of revenue so what else are you meant to compare it with? Hype is a strong bet on the momentum of markets + the premium of token buybacks which is a first of its kind for a S tier team. The Pump fud stems from its ability to remain relevant. For myself, Pump feels like the Opensea of this cycle, holding staying power for multiple years or even the next 6 months feels like a much bigger risk than perps trading. Purely down to optics, already proven success, $700 mil revenue, $1.3 bil raised, even if memecoins fizzle out over the coming several months, Pump has been the most successful and innovative app for how market dynamics work in our space. Even without any buybacks, it’s the strongest expression for being long hyper degenerate gambling in a time period where dollars are losing value and casino’s are people’s best chances at making something for themselves. $10 bil seems like a very reachable number in the near future.

What market cap do you assign to a project that could become the primary testing ground for the biggest narrative in AI over the next 6 months? I like $REALIS for the same reason I liked ai16z: it builds an ecosystem that grows exponentially as attention floods in. The newly released roadmap gives us a glimpse into some exciting upcoming developments: Phase 1: Laying the groundwork and starting testing. Infrastructure: - Upgrade to support 3,000 concurrent users and agents (ready by Dec 9). - Stress tests will be shared with the community. Key Milestones: - Launch the 3D live webmap for Earth 1:90. - Onboard the first cohort of 200 AI agents, beginning with an isolation and monitoring phase. - Human beta program starts with 50 participants (access scales throughout the phase). - Collaborate with external AI agent teams post-isolation. Phase 2: Scaling infrastructure, integrating economic systems, and building community. Infrastructure: - Expand server capacity to handle 10,000+ users. - Enhance environmental modelling and begin custom engine development. Economic Systems: - Enable in-world value transfers, wallets, and DApps. - Launch land ownership frameworks and an AI marketplace beta. Community: - Stream agents live on X, Twitch, and Kick. - Allow agents to retain cross-world contextual knowledge, expanding interoperability. Phase 3: Realizing the vision of interconnected, advanced virtual worlds. Primary Goals: - Deploy the proprietary Realis engine. - Enable seamless travel across multiple interconnected worlds. - Advance AI capabilities and integrate comprehensive economic systems. I don’t think people are pricing in the potential of a fully operational sandbox where every team can come to experiment and collaborate on cutting-edge AI with embodied agents. We’re witnessing the metaverse on steroids unfold in real-time.

A Chinese Gaming Monolith: $KNET I first dismissed @Kingnet_AI due to its foreign nature and the fact that their narrative wasn’t immediately obvious. Turns out this was a mistake as their parent company is currently valued at over $5 billion with $1 billion on their balance sheets, while their token currently sits at $11 mil mcap. If that isn’t enough, they’ve also recently partnered with @alibaba_cloud to integrate Alibaba Cloud’s Qwen LLM and PAI platform to power its AI game generation engine. So what is Kingnet? A Web 3 game development platform that leverages AI to automate game production. They provide a no code, visual AI engine to let users build game modules with simple natural language input instead of complex coding. The product is a fully automated game development pipeline powered by a proprietary AI model called Xingyi. Instead of writing code or designing assets, users type a prompt and the AI generates characters, maps, animations, logic code, including full game modules. It’s designed to cut dev time and cost dramatically. Kingnet has already announced plans to gradually open-source parts of the AI model and release SDKs for features like animation and map generation. This signals an upcoming expansion of the platform’s capabilities, likely enticing more developers to join and thus driving greater utilization of Kingnet’s tools and token. Here’s the alpha: Kingnet Network Co., Ltd. is a leading Chinese online game developer and publisher. The company became involved in the Legend of Mir franchise (120+ mil registered players) in mid 2016 by securing exclusive licensing agreements with the IP owner, WeMade Entertainment. Through its parent companies (Zhejiang Huanyou and Jiuling), Kingnet developed and localized new Legend of Mir titles for the Chinese market, including web and mobile game adaptations. They handled the game development, in game design tweaks for local audiences, and full publishing/operations, leveraging its large distribution platforms (e.g. the XY gaming portal) to reach a massive user base. Kingnets involvement has spanned nearly a decade (2016 to present), during which the MIR based games became flagships attracting millions of players and revenue. Kingnet’s contributions to The Legend of Mir franchise resulted in significant financial success. One of its licensed Mir titles generated over 1.5 billion CNY ($230 million USD) in revenue during 2022 alone, accounting for a substantial portion of that year’s sales. Kingnet’s is a Chinese gaming titan, the company generated around 1.2 billion CNY (170 mil USD) in net income in 2022 alone. From a corporate perspective, Kingnet is a publicly traded company with multiple game studios and platforms under its umbrella. It even operates a dedicated subsidiary focused on “legend” series games. Their track record with Legend of Mir adds to its credentials, reinforced by other hit titles in its portfolio (e.g. its MU Miracle mobile game adaptation surpassed 3 billion CNY ($418 mil USD) in global turnover). How does the platform work? Users log into the Kingnet AI V2 platform and create a new project. No coding is required, just a project name, target genre, and deployment preference (Solana, BNB Chain, or TON). The dashboard offers a unified interface to manage characters, levels, and assets. Creators generate assets by typing natural language prompts. The Xingyi AI model interprets input like “a desert warrior with armor” to auto generate fully rigged 3D characters, maps, UI, and even dialogues. Animations, textures, and behaviors are handled automatically, reducing asset creation from weeks to minutes. Game logic and interactivity are built using plain language commands. For example, “open door when player finds key” triggers prefab logic generation. The system also simulates in-game scenarios and character behavior using AI agents, eliminating the need for manual scripting or playtesting. Assets can be exported in standard formats (e.g. FBX, GLTF) or deployed onchain as NFTs. One click export integrates with Unity, Cocos, or TON mini-games. Smart contract hooks automate asset licensing and in game ownership on supported chains. Teams can work in real time across the cloud platform. A built in asset marketplace will allow creators to sell or trade their AI generated content using $KNET, with built in royalty tracking. As someone who spent over 18 months co-founding a hyper casual mobile during 2021-2022, I can say that this infrastructure is extremely useful. Key Milestones – Founded in Shanghai by Wang Yue; early success with social web games like Happy Tower (100M+ users, 15M DAU). (2008) – Launched XY.com gaming portal and XY Apple Assistant (100M+ installs); built a strong browser game distribution network. (2010–2013) – Broke into mobile gaming with MU Miracle, grossing ¥200M+ ($28 mil USD) in its first month; became a top grossing title in Asia. (2014) – Completed IPO via backdoor listing; raised ¥1.12B ($156 mil USD) for mobile R&D and IP expansion. (2015) – Legend of Blue Moon and Blue Moon Legend each surpassed ¥3B ($418 mil USD) in revenue; expanded with IP games like Gundam, Sword Art Online, Warships. (2016-2018) – Co published MMORPG hits like Original Legend (¥1B+ revenue/$140 mil USD), War of Angels, and Stone Age Awakening (with Tencent); maintained top charting games in China and SEA. (2020-2023) Partnerships + Events TON: Integrating its AI game engine (Xingyi) into the TON blockchain, enabling AI powered mini games on Telegram’s ecosystem. Alibaba Cloud: Deep AI + cloud partnership using Qwen LLM and GPU services; enabled real time content generation at >90% cost/time reduction. SmileCobra Studio: Exclusive deal to support AI powered Web3 games like GenLeap; full stack development support. Cocos Engine: Collaborating on AI game lab for instant Web3 game deployment with no code creation tools. HarmonyOS (Huawei): Partnered for native game deployment on Harmony devices. Integrations: Solana, BNB Chain, and TON supporting cross chain AI powered game creation and storage. BNB Hackathon Win: Gained support and visibility in the BNB ecosystem after winning the top prize in May 2025. Investments Kingnet Capital HK – Launched as a dedicated investment arm for Web3 and AI projects globally. Bigo Group (HK) – Formed JV “Jiyi” to commercialize AI gaming + entertainment IP; Bigo invested ¥15M ($2.1 mil USD) for 15% equity. TanWan Games – Co invested ¥10M ($1.4 mil USD) into Kingnet’s AI venture Jiyi; signed co dev roadmap for MU, Chuanqi, and Jin Yong IPs with AI integration. $KNET Utility AI Services: Users must spend $KNET each time they generate game content (e.g. characters, maps, UI, code) using the Kingnet AI pipeline. Creator Marketplace (Upcoming): A marketplace is under development where users will be able to buy, sell, or trade AI generated game assets and modules using $KNET. This introduces a secondary token sink and enables creators to monetize their outputs. Earning and Participation: Users can earn $KNET by contributing assets, beta-testing new features, or participating in community events. Asset creators receive $KNET rewards when their AI generated content is reused by others. Staking and Rewards (Planned): Future plans to allow users to stake $KNET for enhanced platform privileges, exclusive features, or to earn a share of platform revenue. Roadmap Includes a marketplace beta, staking rollout, and SDK/API releases for developers starting Q3. The Xingyi model will also begin open-sourcing select modules onchain (e.g. animation and map generation). Xingyi AI tools will go live on TON, debuting with SmileCobra’s Telegram game Zarya. This expands Kingnet’s reach into TON’s mini-app ecosystem. A reward program will let KNET holders earn $SOL. Acting as a soft staking mechanism to boost token utility. Kingnet will release developer tools and a code editor to automate game logic and lower the barrier for no-code creators. The no-code interface will allow one-click game creation. Most of the Xingyi model will be open-source by this point. And also launch a curated game store for top AI generated games, with $KNET as the core currency and revenue shared with creators. + much more. Final Thoughts As you can see there’s so much to cover I can’t even fit it all into one thread and will need to do a second write up to truly explain everything. The fact that you have a company of this prestige and caliber coming onchain is a gigantic feat in itself. The fact we can invest in it’s new AI platform at 11 mil while the parent company is valued at over 5 billion is more insane. Hyper-casual mobile games have been one of the fastest growing entertainment segments in Asia over the past five years, especially in terms of downloads and user adoption. Even though Kingnet is probably the most successful irl company we’ve ever seen launch a token, the product itself speaks volumes. Personally, I was engulfed by the metaverse narrative in 2021 and went super deep into game design and scaling. From this experience I can say for a fact this is a massive step forward in the gaming industry. My one request to the team: please increase the token’s liquidity, it’s currently too thin for any serious buyers to enter without major slippage. Adding a market maker would also help smooth volume and attract larger players. You’ve got a billion on the balance sheet, this shouldn’t be a blocker. I’ll be posting timely updates in my Telegram channel if you want to stay in the loop. $KNET is a 9 figure coin larping as an 11 mil coin.

My thoughts on $LIGHT When I initially saw Heaven and their 27 mil ICO my initial reaction was “oh great another launchpad which has just siphoned 8 figs out of the trenches”. Which I’m guessing was the reaction for a majority of those who hadn’t dug too deeply into the mechanics or read some of the articles by @peacefuldecay. I was sick of the launchpad wars a long time ago and was part of the reason for my slowness of due diligence into Heaven, though as a trader it’s important to see what the current environment is rewarding. Skepticism is a strong trait to hold in these markets as you want to have conviction in ideas but not at the expense of ignorance and being uneducated. It’s always easy to brush off a new eco, especially when CT is bashing it and we’ve just had the likes of Launchcoin which has rekted any believers in “flywheel” mechanics. I was ICM’s biggest bull and very disappointed with Pasternaks delivery and over promises. Thankfully it seems like Peaceful is a polar opposite of Pasternak and extremely well versed in trading and also CT. Not trying to glaze but his articles are some of the best articulated pieces I’ve read in a while and I’m quite a critic when it comes to writing. Narrative Pump = memecoins Launchcoin = ICM Bonk = ecosystem suport Boop = KOLs and incentives, Moonshot = retail Jupiter = Dex users Meotora = businesses Heaven = philosophy? Heaven is a very philosophically driven launchpad, which is why there’s been so much recent success as crypto has always been a spirality driven industry and why you see CT native founders performing significantly better than those who can’t navigate this app efficiently. They’re not focused on cheaper fees, UX, KOLs, campaigns etc. They’ve got two objectives: 1. The god flywheel (will elaborate on this later) 2. Aura “How is a launchpads primary moat trying to get aura?” When I first read this it sounded quite insane but due to the quality of peace's writing, he’s made the idea quite convincing and simple enough to understand that a significant amount of traders also back it. The idea of having “aura” is quite similar to KOLs you follow. Why does someone like Cobie or smaller accounts like Uber have such an effect on ideologies or trades? It’s not due to attention but aura. Aura is a deviation of reputation which has a stronger intuition factor due to a certain emotion they spark when you read/listen to them. Usually due to how they made you feel in a certain moment or a culmination of events which was very difficult to predict or stand for the right point. Aura is a flow, not a force. Unless you spend a significant amount of time on CT or are an elite builder, it’s very difficult to obtain aura and appeal to a large audience without making significant enemies. Heaven’s been built on the idea of belief and faith. Which was the reason they had a token before a product as they believed in running a social experiment to see how many people saw their vision. They purposefully delayed the functionality of their launchpad to shake out non believers which allowed for better price appreciation (murad mode, allegedly). This has given traders the optionality to own the AMM at the ground floor. $LIGHT was not meant to be an additional liquidity event for Heaven but the reason for it’s existence. Since CT has been obsessed with the “attention trade” the past couple years, the edge through attention has eroded since it’s so easily recognizable. They believe aura is the last metric which hasn’t fully been encapsulated onchain as it’s more of a flow state and not an easily measurable metric. Why does someone with 5k followers have more motion than someone with 50k? Tech Heaven is taking a very different approach to the tech and believes imposing standardization is much more impactful than something like ERC standards. They’ve been quite obsessed on the belief that Pumpfun killed the trenches due to building pumpswap as they now introduced competition from trying to take all of the fees from raydium, metora and jupiter. Previously they lived in harmony but now it’s turned into a PvP environment and the reason why we’ve seen so many other launchpad competitors rising up as Pump became greedy, trying to take the entire pie for themselves. This is what’s caused Heaven to be so focused on building a dual AMM. They’ve taken a dual approach to the AMM as they see it being the ultimate form of precision which cannot be achieved with Meteora or Raydium wrapper alone. So they built both; the AMM and the wrapper. The AMM is designed to be an extension of the launchpad. Any token on Heaven’s dex needs to be deployed through the launchpad with no exceptions. It is a closed container. Meaning any token traded that you see heaven as the dex, it’ll have gone through their gates. This captures the fees and keeps the entire process in house from start to finish, stopping any liquidity or mindshare leakage. Heaven skips the bonding curve entirely and launches tokens directly onto its own AMM, avoiding the migration mechanics seen in Pump launches. Instead of starting at zero and ramping via a curve until hitting a Raydium migration threshold (which snipers often exploit), Heaven injects a small amount of virtual SOL into each pool, simulating instant liquidity without requiring deployers to fund it. This means projects can launch for free, with real buy/sell activity live from the first second. There’s no migration window, no cap on initial dev buys, and no price manipulation moment, just clean, immediate price discovery. To further limit bots, Heaven adds a short 6 second decaying tax at launch, deterring front runners without hurting organic volume. The objective is to find global parameters which take ideas to market instead of being fixated on letting developers customize everything (i guess this is quite similar to how social media platforms operate, you focus on the idea, not the delivery). Which is where their fixation of standardization stems from. The God Flywheel *PTSD has entered the chat* Unlike Launchcoin, Heaven has implemented a 100% buyback and burn mechanism for all protocol revenue. Every protocol fee from every purchase on Heaven is directly buying back and burning $LIGHT. This feels like the correct direction for any launchpad to take as your token should be the primary means of your success, if you don’t believe me then look at Hyperliquid. As we move into a more predatory environment, alignment will be one of the key distinctions which keeps people holding for more than a few days. Traders need to turn to believers for any ecosystem to survival in current conditions, without full alignment and token buybacks it’s hard to find a reason for traders to hold a token when the team isn’t willing to. At the time of writing this they’ve already bought and burned $1.7 mil which has been generated from the volume fees. This has only come from the last 5 days since the platform was fully functional too. Roadmap I ascribe to a very similar view to Peaceful and the Heaven team which aren’t going after genuine business moats like Pump’s livestreaming or Launchcoins onboarding, instead they believe we’re running out of time due to the ease of access no coding tools offers to building products and we’re converging into a reality where software becomes worthless. This is why my twitter bio is “One final bull run”. A moatless future is coming for almost every company that leverages code. Launchpads are just a niche vertical in crypto that is homogenizing quickly at the moment, but the collateral damage will impact almost every software company. The idea is that software, products, website, app, games or any complicated piece of code will be as simple as writing a post. Having access to abundant and accurate logic levels the playing field for builders, as there now becomes infinite choice for users. Competition only increases, creating less and less logical moats. Companies can’t rely on pure technicals for being an outperformer, that edge is becoming exponentially easier to close. User adoption and stickiness needs to come from somewhere else. Being able to collectively own a piece of whatever they’re interacting with is Heavens moat. The God Flywheel itself isn’t a strong moat for users to be onboarded, it’s simply the most compelling solution to their “moatless” environment. They’re banking on having more aura than another company will become the moat of the future, where collective ownership will be a primary level to obtain more aura. You could somewhat argue this is already true with some crypto native IP like $PENGU which has provenance and some form of aura since they’ve stood the test of time. Onboarding The team have publicized that they won’t be chasing any large BD deals, nor is this meant to be an evolution of ICM or a platform for utility and revenue. Although as a trader it’s a bit concerning to purely rely on “aura” attracting the best builders/deployers/ideas. Peace sees onboarding celebrity founders through loom videos like we saw with Launchcoin -ev for the eco and weakening overtime. They still plan to do BD and onboard new deployers but they want to make it business feel like art. Unfortunately they aren’t elaborating on how they plan to grow the eco and it plays into their mysterious vibe, granted this typically results the best outcome for crypto marketing as it allows for the highest level of speculation. Once traders see the cards dealt to them it’s much easier to tie fundamental valuations and kills momentum. Since they want to be an everything platform they’ve defined two different fee structures, one for builders (1% trading fee) and one for memes (0.1% trading fee). Ultimately, Heaven believes ICM, AI, utility and memes will all merge together anyways. As software creation becomes as simple as a single prompt, the line slowly blurs. Starseed is an interesting initiative which is their native eco fund. As of now the fund is not tracked and none of the buys are disclosed to the public and Starseed will remain publicly agnostic towards ideas. This is opposite to what we’ve seen from every other eco and again, another correct step taken as buys from eco funds typically result in sell signals for most traders as there’s no further catalyst for price appreciation. The R:R Of This Trade I’m certainly not going to pretend like I’m early and part of the reason I’m writing this thread is due to the recent influx in price, though their philosophical approach to building feels quite unique and something we haven’t seen yet. “Enough yapping, up or down Mr KOL?” Honestly I wish I could give you a high conviction answer. Unfortunately the markets are far too unstable and rotations are only growing in speed. Something which is important to point out is how weak the current memes on the platform are. As time has gone on, traders have progressively bid the infra/platform which the eco is partaking in as they know how shortlived apps, memes or novel products have become. Bidding betas used to be a viable onchain trading method, now we’ve fast tracked that method and simply bid the fastest horse on repeat while the rest of the eco significantly underperforms, akin to even BTC. While I do really ascribe to Heavens and Peace’s philosophy on how to correctly build and not force anything, unless that something eventually makes its way onto the platform, being a philosophically driven platform won't be a strong enough moat to last more than a couple weeks. As we saw with launchcoin it was able to hold above the 100 mil range for 70 days before traders finally capitualted on Pasternaks empty promises. 70 days is a very long time in crypto and it showed how much belief there was in the ICM sector as we hadn’t seen any form of strong utility for over 6 months (since AI szn). Traders want to bet on fundamentals, they’re sick of the meme rotations and trying to play it cupsy style, except no one has built with the right mindset to support longevity. I don’t currently own any $LIGHT and it would take something quite impressive for me to buy it and partake in the eco. Since there’s a lot of mystery around how they’re going to onboard new deployers/builders, the higher price goes without this explanation, the weight of the revelation only increases. Expectations rise alongside price, once you get to a certain point, god himself cannot satisfy trader expectations and it becomes increasingly hard to hold mindshare and belief. From what I can see, the meat of the move for this trade has happened, there’s still quite a large amount of traders sidelined and I’m not calling a top. Unless they pull something very special out of their hat then this momentum + uncertainty + lack of trust onchain + rotations will be a heavy boulder to push up hill. I genuinely really enjoyed Peace’s writing and it’s some of the best I’ve read in a long time. His thinking from a philosophical stand point is spot on. My issue is the uncertainty around onboarding and what’s going to keep a new influx of users coming in or retaining those currently playing. I was ICM’s biggest bull and want nothing more than utility projects to succeed. If Heaven finds a way to facilitate that then I’ll be a big supporter of their eco. Hopefully they prove me wrong and deliver some much needed freshness onchain. Launchcoins success came from their ability to bring revenue generating projects into the eco. Their failure stemmed from the inability to communicate on twitter and deliver on all the empty promises they made. Light’s success came from Peace’s well articulated writing and implementation of a 100% buyback flywheel. What they lack is a genuine onboarding model or reason for quality teams to join the eco.

Tip of the AI Iceberg: $ai16z I’ve been playing around with mental models on how AI could gain mindshare the fastest. The truth is, we’re currently in a glorified chatbot meta—an evolution of what we’ve seen with ChatGPT, just with some major upgrades. While agents like Truth Terminal, Zerebro and Cents are great, they haven’t drifted too far from the established path. The next billion-dollar project won’t be just a better version of Truth Terminal. It’ll be something that steps outside the bounds of traditional chatbot KOLs entirely. That’s when the concept of an AI trading agent hit me as the ultimate way to capture external attention. I was always bullish on the idea since ai16z first launched but skeptical about the product given the complexity and development hurdles—until I dug deeper into their recent progress. Turns out, they’re far ahead of the curve, with their first live trading session set for Friday (Nov 15). I wouldn’t be surprised if a certain major fund is already watching closely. There has already been internal testing this week for smaller trades, but this upcoming livestream on Friday will be where things kick off. ai16z sparks a different kind of imagination as it positions itself as the “Wall Street beater.” We’ve all dreamed of having a perfect algorithm making money while we sleep—this could be it. Ask yourself: what captures people’s minds more? A Twitter chatbot with personality or an “infinite” money-printing AI bot? Imagine a social analysis tool where an AI could monitor top traders in a Telegram group, continuously learning and refining its strategy based on the best calls. Eventually, this bot would aggregate the insights of these top traders. Traders/KOLs could license or sell access to the bot based on their trading reputation, introducing a new level of “copy trading on steroids.” It would transform the KOL space by naturally filtering out those without genuine alpha. For anyone paying attention in the teapot community (AI researchers), you know @shawmakesmagic is the most based dev out there. He’s been letting everyone use his open-source software (Eliza) to run 90% of agents in AI memes, and he’s also a DeFi summer veteran, giving him the edge in crypto’s chaos. Open-source development has always been a hard way of earning compared to private work, but Eliza’s framework and packages are changing devs perceptions. They enable indie devs to gain retroactive funding for public goods based on usage, crucial for onboarding the best AI talent. His deep crypto and DeFi experience is ensuring that ai16z’s trading bot has built-in safeguards for common crypto landmines. This trusted execution environment (TEE) acts as a social analysis tool, monitoring top traders and adapting strategies accordingly. Another product vision is something like Pump Fun for AI trading agents: a marketplace where people create, backtest, and launch custom trading formulas that others can invest in. This marketplace will allow devs to sell bot actions (scripts), providing better access to tools for quant processes. Think of it as a storefront for AI trading enhancements, giving developers the chance to make their unique strategies widely accessible. A big advantage of bots in today’s market is their unemotional approach to trading—ideal for navigating the information overload. Bots can’t solve every problem in crypto, but they can provide a better hit rate with constant automatic scanning. As the DAO builds what could be the Pump Fun of AI trading agents, they’re aware of the risks of easy deployments. These bots need careful tuning, and allowing freedom of deployment too soon could lead to fraud, similar to what we’ve seen with Pump Fun tokens. They’re also working an agent accelerator where agents built on the DAO’s framework can send a percentage of tokens to the DAO in exchange for more exposure if legitimate and can work in tandem with the ai16z ecosystem. Whoever claims the first-mover advantage in the AI Agent marketplace will see a dominance comparable to Pump Fun’s in memecoins. If you can get an entry in the 40 mil range I think this is a good r:r going into Friday’s stream, if all goes well I’m expecting the following week to be filled with a lot of new noise about the progress and potential success of this narrative.

Dear @a1lon9, It’s been great to see Pump supporting and fuelling communities once again, as when the eco is in it’s flow state, it provides the best narratives and runners out of any platform. I’ve been an advisor and closely working with the $CODEC team who are building really impressive architecture for Operator agents and Robotics. With their recent success they’ve had many VC’s and liquid funds reaching out. Multiple funds have called them "unprofessional" since they’ve launched their token on pumpfun. Even though their product and infrastructure is miles ahead of teams raising at 9 figure valuations with nothing to show, launched at 0 mcap and gave all the benefits to the community, self funded by a team who works with Hugging Face Robotics and Elixir Games (could of easily done a VC round). Right now there’s a stigma that legitimate teams can’t launch on Pump because it labels them as extractors when launching a token at 0 with no VC’s allows for the most organic chart and community building. Ton’s of people loved the ICM meta as it gave them fundamentals to trade off, AI szn was possibly the most fun I’ve ever had in crypto. Due to the average holding time of new tokens, there’s a large demographic of traders who are scared to touch memes atm. Even as someone who’s full time and very experienced at trading, I’m hesitant to trade many of these new coins with size. I know there’s a ton of eager participants who are feeling sidelined, especially with markets being hot as they don’t have the skillset/time to trade these fast meme rotations. I believe I speak for a large amount of CT and as @zinceth mentioned, it would be great to see some type of incentive/fund which is allocated for utility, AI, Robotics or any other team which is trying to build a genuine business moat. If others agree, leave a comment on this post and shill your utility token that launched on Pumpfun. Shalom, Cryptotrissy.

Turned 23 today. The last year has certainly been the most life-changing in many ways. I'm not sure what the next year will hold, but all I know is I'm not lying on my death bed knowing I got 2nd place.

Borpa Golden Ticket Campaign ~ 2024 (Colorized)

How crypto reaches mass adoption and ways for you to profit from it. A mega 🧵... 1/62

Launchcoin and the ICM meta is the best chance we have at a sustained alt szn. Seeing lots of talk on OTHERS bottoming and BTC DOM topping, I do agree that if we get liquidity injections from interest rate cuts then there will be some outperformance in alts again. Although, to meaningful sustain any type of longer term trend there needs to be a new set of companies onboard. Speculation and early adoption of trends is where the cowboy money is thrown around because that's where your amazons, facebooks, googles are born. Finding the needle in the haystack becomes life changing. Crypto feels in a similar position to the internet boom post 2000. 2021 was our equivalent in terms of froth and we’ve been on a slow decline ever since. 2001 to 2003 was the post dot com crash and recession hangover (FTX collaspe and interest rate hikes). 2004 to 2006 was a slow recovery and quiet building. Google just IPO’d, iphones didn’t exist and FAANG wasn’t even an abbreviation yet. At this moment, crypto feels like the 2004-2006 internet era. AI represents the internet where everything is built on top of, the emerging companies using AI infrastructure will become the Apple’s and Google’s of the next decade (Robotics, Neuralinks etc). Which is why ICM is so important for crypto to have a sustained run. No one buys the bullshit vaporware speculation anymore, whitepapers won’t sell without existing products or extremely qualified teams. ICM is the first sprinkles of legitimate companies coming onchain. Jellyjelly was the very first, shortly after the AI meta tapered off and couldn’t live up to expectations, even still, it opened everyones eye to what could potentially be coming. Acceleration of markets and innovation is growing exponentially due to power laws of AI. 50 person companies can now be reduced to 5 or 10 quality prompters. Just as software engineers ruled the first quarter of the 21st century, the next quarter will be high tenacity individuals with a deeper understanding of LLM’s and AGI once it spawns. So where does @believeapp fit into this? Launchcoin hasn’t built anything unique, there’s been dozens of teams who’ve attempted to build a launchpad with taxes to incentives builders. The magic lies in @pasternak connections to onboard legitimate companies onchain, which are looking for a better alternative at getting capital and a die hard audience. Silicon valley has proved too competitive and without a YC style incubator, most teams don’t stand a chance, even with already provable products. Crowded spaces cause fleeing to untapped markets. Teams like $DUPE knew to compete on a longer term scale they need an animal spirited audience who is going to be their strongest supporters and amplify their social media and tiktok reach. This starts a domino effect of companies who couldn’t compete against ivy league founders and rewards those who walk an uncharted route for startups. Favouring younger generations with strong social media skills as opposed to beefed up resumes and qualifications. Eventually the awareness grows large enough where S tier companies catch wind of this and don’t want to be late to a movement. They realise the flexibility that comes with having a token. How do we reach this? I won’t sugar coat it and say it’s been a smooth experience at all, whilst I’ve been one of the annoying reply guys spamming “wen flywheel” there are a lot of complex issues Pasternak is dealing with. LaunchCoin’s official guidelines explicitly forbid any feature that could make tokens resemble securities, such as equity representation or profit dividends. This means no guaranteed buybacks, revenue sharing, or “income” for token holders, by design the tokens are treated as “digital souvenirs” with no promise of returns. While this positioning avoids immediate legal classification as a security, it creates a disconnect between the token and real project value. Believe’s open token launch model operates in a regulatory gray area, essentially enabling unregulated ICO style fundraising, causing public threats of legal action from teams like Burwick Law. While the community wants a token buyback flywheel, Pasternak has delayed implementation due to legal risk. Any move to use platform fees for buybacks or revenue share could trigger regulatory issues. Which is why the team is building a new backend to distribute funds legally to builders, likely using Solana’s new attestation service and integrating KYC checks. Smart contracts will automate payouts while staying regulation friendly. Migrating launches into the Believe app will filter a lot of the spam we see on a daily basis. Legal is always a very slow game and the more complex tokenomics changes (buyback mechanism) will probably take a bit longer, potentially another couple months if I had to guess. Optimistically, we might see a proposal or test of a fee based token buyback/burn system in Q3, once lawyers sign off that it doesn’t constitute an illegal security or promise of return. Not what most people would be wanting to hear as a couple months in crypto is an eternity. This timeline also gives room for observing how regulators are treating similar crypto rev sharing models this year. Competitors have already implemented such systems (Raydium did 25% buybacks from day one), so market pressure is high for Believe to follow suit fairly soon to stay attractive. The question I ask myself constantly is; what reason do outsiders have to come onchain again? Retail got rinsed in 2021 and knows that everything here is a wild circus act. The only reason they’d come back is seeing their favorite companies or products tokenize themselves and attach fundamental values to investing once again. Like I mentioned early in this post, it feels we’re moving into a slow recovery and growth era which has been mostly sparked by legitimate businesses looking for a new MOAT (tokenization). Thankfully, there are politicians who are beginning to move the needle and it’s a matter of time until tokens can represent company equity like they should have always been able to do. Even if you’re not a fan of Pasternak and Launchcoin, the ICM meta is one you should be rooting for as it’s our best chance at bringing real builders and external investors back into the space. Crypto’s rails have been shunned away by regulation due to all tokens needing to hold a “speculative” view by investors, if Pasternak can find a legally acceptable route to tie equity, buyback and rev share with token holders, it’ll mark a transition for more real businesses to come onchain, potentially sparking alt szn again. We already have 9 figure projects sitting on the platform if you research carefully btw.

I left @Entanglefi. This was one of the toughest decisions I’ve ever made, and it had been on my mind for months leading up to it. When I first joined in February 2023, Entangle was just a concept—a makeshift litepaper for a novel DeFi dApp. At the time, my Twitter had exploded from 1k to 10k followers in under a month, thanks to the research I was doing during Arbitrum season. I had plenty of job offers, many of which paid significantly more, but I saw something special in Entangle. I wanted to be part of something crazy, something everyone said couldn’t be done. Fast forward to the end of the 2023 bear market, and we had built one of the most engaged communities in the space. Our mindshare rivaled tier 1 competitors with 50x our funding and resources. We were a small team of psychopaths, dedicating every waking moment to the mission. If you think I’m exaggerating, consider this: we went from a $45M market cap at launch to $2.7B, all without tier 1 exchanges, and with a total raise of just ~$6M. Every move we made was for the community—from Webverse to testnet campaigns. Our interactive campaigns became a gold standard, and for several months, it felt like we were walking on water. We looked unstoppable. BTC hit its highs in March 2024, and we launched at what should have been the perfect time. Unfortunately, several factors led to a slow decline in token price. We saw the memecoin boom coming a mile away, which is why we put all our eggs in one basket with Borpa. Borpa was by far the most exciting project I had ever seen. From its memetic value to its DeFi ponziomics, everything about it felt like a guaranteed success. The GTM strategy combined verticals we’d previously used within Entangle with some wildly creative tokenomics. The goal was to leverage Borpa’s success to create massive demand for Entangle’s infrastructure and kick-start our Omnichain flywheel. For those involved, you know the hype and mindshare behind this was some of the biggest this space had seen. Borpa should’ve been a blue-chip project—if the pin hadn’t been pulled at the last minute. After the collapse, I felt ashamed. I had orchestrated a majority of the influencer support behind it, and even though the situation was out of my control, I owe messages and apologies to many people. But honestly, if I had to make the same choice again, I’d do it every time. You don’t win in this industry without taking big swings. Every team should be looking for ways to push the boundaries and think outside the box. Still, managing a 20+ person team, combined with everything that happened, wore me down over time. I’ve always had a more “autistic” personality and struggled with team environments—working alone in a room is where I thrive. I tried transitioning to a more individual role, but no matter what I did, I couldn’t get my spark back. It felt like a disservice to the team to stick around when I wasn’t pulling my weight, which is why I ultimately made the decision to leave. I’ll always be thankful to @fmehrban1 and the rest of the gang for taking me in and chasing a dream that gave me purpose every single day. And to the community—you made this all possible. Special thanks to the Entangle Elite. The Riddler and Rocket Engineer will always have a place in my heart. This isn’t the end of Entangle. If you check out their recent progress on tech and tokenomics, they’re making some incredibly bullish moves. As for me, I’m going back to my roots: producing high-level research on new narratives and developments, chasing the hot ball of money—and touching some grass. Thank you for everything. – Rocket Engineer 💜

Two years and many sleepless nights in the making! Feels quite strange to see such a complex product go live from where we started. When I first joined the team roughly 15 months ago, Entangle was nothing more than a makeshift website, few scrappy docs for a LSDfi dApp and several lunatics with a lot of passion. This passion is what got me excited and made those tough days worth pushing through. It's been a genuine pleasure to take on the impossible challenge and come out the other side with industry leading tech. Soon to be showcased with all of our upcoming products and partners. Study conviction.

A common term you'll hear in crypto is "Tokenomics can be marketing" Study @BorpaTokencom

Why @Metaverse_HQ is one of the best NFT trading groups in Web 3 ⬇️ 1/

Perpetual DEX’s are consistently gaining market share, meaning they will be a leading narrative in the next bull run. Here’s a revenue comparison for the leading perpetual DEX’s. A 🧵... 1/25

There’s an upcoming AMM and liquidity layer on crypto’s hottest chain. Let me introduce you to @ThenaFi_ A 🧵… 1/21

Trading and investing is one of the most difficult professions in the world, being in a bear market, we can't help but wonder where we went wrong. Here’s 5 tips which can instantly make you a better trader/investor for the next bull market. A 🧵... 1/29

Working on a weekly NFT analysis... Who's interested?

MetaDAO vs ICM Run Two of the most recent uprisers in the ICM debate and have gained considerable mindshare, especially when comparing to Launchcoin. $META They’ve gone for the futarchy governance model which almost acts like a prediction market in a way. If a project wants to spend treasury funds or change a parameter, traders bet on whether the decision will raise or lower the token’s price and the market’s verdict dictates if the proposal passes. One concern I do have for this model is the hostile positioning large investors can take to try and influence poor decisions. We’ve seen this in the past with DeFi and Uniswap votes. MetaDAO uses a price:band treasury: part of the raised funds and tokens automatically go into a smart contract that buys tokens if the price falls below the ICO price and sells if it rises above. Increasing stability for the beginning of launches so they don’t spike or crash uncontrollably. A feature I do like is pay for performance unlocks, where teams only vest their reserved tokens when the market price hits certain multiples (2x, 4x etc) of the launch price. Teams should be rewarded and inclined to appreciate token price, granted it’s not in a damaging short term way, partly countered by the futarchy model since voters can have more direction in the model of the business. Essentially you’re dampening volatility and creating a model where holding for >48 hours becomes +EV and aiming for a slow grind up on token price (returning to a holders market). It monetizes token launches from fees on its own Futarchy AMM + fees on a single sided LP position on Meteora. Fees are 0.25% per trade which accrue to META holders. We’ve already seen the investor protection model play out where holders voted to dissolve the fund of mtnCapital after they raised $5.7 mil, eventually underperforming and investors voting for a refund on remaining balance. It’s telling that the Solana foundation/Colessum is supporting MetaDAO considerably more than launchcoin since pasternak fumbled extremely hard. Also with backing from Paradigm and research + support from Delphi. $ICM ICM takes a more classic start up approach, acting as mentors and incubators for projects coming into their eco. They recruit promising teams which they mentor and guide before and through their token launch. Projects apply, a panel of mentors votes on which to accept and accepted teams commit 1-5% of their future token supply to the ICM RUN DAO treasury. The aim is to eliminate teams rushing to market and to consider all angles of marketing, product, tokenomics, roadmap etc to be taken into consideration. ICM will only issue a token when its token has a viable product or at least a solid roadmap. When ready, they’ll help the team choose the best launch venue for their token (which could be MetaDAO or another platform). At the end of an incubation cycle, the treasury’s holdings of project tokens are distributed to ICM token holders proportional to their holdings. An ICM holder gets a diversified stake in a portfolio of Sol startups vetted and guided by the platforms team. If some of those projects do well (becomes a hit dApp), ICM holders share in that upside by receiving those project tokens. Which strongly incentivizes mentors and contributors as their upside (via the ICM tokens they hold) grows only if the incubated projects do well. So essentially, you’re betting on the quality of the ICM team to incubate and vet new projects coming onboard. Who is this team you might ask? They consist of the Zynga’s co founder and Luca Netz as an advisor, also rumours of Alon advising but not sure where this is coming from, just random tweets I found. Final Thoughts: MetaDAO focuses on the mechanics of a fair, self correcting token launch, while ICM RUN focuses on nurturing the team and product behind the token. Stability is key for real businesses wanting to come onchain and more importantly, onto a launchpad. Having an ecosystem token fluctuate 50% on a singular day can be very damaging for the longevity of onchain businesses, which could be its own write up. Due to the bad actors, it seems we’ve had to resort to models like futarchy since founders/teams can’t be trusted. I don’t believe the end game to ICM and bringing real businesses onchain is tying founders/teams to a leash and we decide when they’re allowed to go outside for a run. ICM Runs approach doesn’t feel as scalable since it ultimately requires them to find a S tier team which is going to outperform the equivalent of 5-10 good projects on another platform. Maybe I’m missing something but as someone who’s been an advisor and builder, time gets chewed up extremely quickly and you really don’t have excess time for more than one project. A large part of price discovery on tokens comes from teams silently building new products or verticals which is unknown to the public market. Often pivoting models or finding a novel mechanism which hasn’t been done before. Adding a futarchy model will inevitably act as a pre market for pivots and new product updates. While we haven’t seen this idea mature yet, I’m very confident this is not in the best interests for nor the team or token holders long term. Speculation is the purest form of asymmetry and reaction to time based events. Remove this and you remove core fundamentals of trading. Needless to say, both teams are pushing the envelope and trialling new models. My criticism is a reflection of what might go wrong and considerations to take when entering the trade or ecosystem. I’m rooting for anyone trying to bring more businesses onchain and experimenting with models to bring a holder's market back.

Flew to Dubai to work with the $CODEC team in person. Robotics is going to be too big of a sector not to go all in on. Study working for your bags.

What a 12 months it's been for myself at Entangle. What seemed like an impossible task with what we set out to achieve is now getting the party started in just over one week. It's time to reward the early believers.

Web 3 gaming has raised over $7 billion in the past 18 months, more than any other sector in Crypto 🎮 I’ll uncover the key to it going mainstream 👇 1/25 🧵

A mismatch in price and fundamentals. $KNET ($8 mil) vs $ALCH ($120 mil) @Kingnet_AI Handles everything from 2D/3D modeling to full character rigs, animations, and even code generation, straight from natural language prompts. No code UI means anyone can go from idea to playable Web3 game demo without touching a line of code. Speeds up builds, cuts costs, and lowers the barrier massively. It’s positioned toward Web3 native game devs, indie builders, and small studios. Heavy emphasis on asset generation + end to end prototyping. Basically turns game dev into a visual AI workflow, aimed at getting more content out faster, even if you’re non technical. KNET powers everything, payments, AI queries, and eventually the marketplace for generated assets. Also has governance hooks. Tied to KingNet (large public gaming company), and already plugged into Solana, BNB, TON. Seeing early traction + hackathon wins. Kingnet AI is backed by Kingnet Network Co. Ltd, a publicly listed Chinese gaming giant founded in 2008. With a track record of hit titles like Happy Tower, Shushan Legend, MU Miracle, and World of Warships Blitz, the company is one of the most renowned incubators in mobile gaming. Kingnet AI is built by SmileCobra Studio (Singapore) in exclusive partnership with Kingnet’s Hong Kong arm. Parent company is valued at over $5 billion with $1 billion on its balance sheet. @alchemistAIapp A broader no code platform that converts user prompts into fully functional apps or games. It uses a multi agent AI engine (multiple specialized models) to parse user prompts, generate code, create visuals, and assemble full applications in real time. Targets a wide user base, from hobbyists to Web3 builders, looking to rapidly prototype tools, games, or websites. The UX is very streamlined, for example you enter “a snake game with a brown wooden background”, and Alchemist’s Sacred Laboratory interface organizes AI agents to produce front end code, game logic, and even custom graphics on ALCH is used in the Arcane Forge marketplace and to access Alchemist’s AI services. Users can earn ALCH by selling useful applications or games, the marketplace has tipping and discovery features to reward popular apps. Alchemist was founded in 2024 by a team in Vietnam, is led by Thien Phung Van (founder/CFO), Trong Pham Van (co-founder), and Duc Loc “Louis” Nguyen (CTO). With backgrounds in software and entrepreneurship (Thien was previously CEO/CFO at Vistia), the small team launched Alchemist as an unfunded startup. TLDR; Kingnet AI is specialized, with a focus to automate end-to-end game creation for Web3, backed by proven gaming infrastructure. Alchemist AI is broader in scope, offering a fast, LLM interface for building unique tooling and games with retail appeal. Kingnet is domain deep in gaming, while Alchemist is domain wide across several use cases. Based on this, it’s quite clear Kingnet is severely undervalued in comparison. Kingnet is much earlier in their product lifecycle and haven’t fully fleshed out their UX and interfaces, though the quality of team, experience and backing significantly outweighs Alchemist’s platform while being 15x lower in mcap.

How to handle huge losses in crypto/NFTs and bounce back from them ⬇️ 1/

To all the citizens reading this, grand rising 🤝 18/

After covering @FactorDAO's infrastructure, let's take a look at how this technology plays into the bigger picture. A 🧵... 1/27

Robotics is the next industrial revolution. The first industrial revolution (steam to mechanization) grew global GDP by roughly 10x between 1820-1910. Robotics will do the same in reverse, machines will now mechanize labor itself. Instead of one person running one machine, one person (or no person) will oversee thousands of autonomous machines networked together. The steam engine era took nearly a century to replace human and animal labor. Humanoids can scale exponentially faster, once a functional blue collar brain is trained, it can be cloned infinitely through software and cheap hardware replication. The industrial revolution created roughly $30T of modern GDP adjusted for today’s dollars. It’s estimated robotics and automation could add $15-25T annually to global output by 2035, compressing >100 years of GDP in a decade. Birth rates are collapsing across every developed economy. A baby takes 18 years to reach the workforce, a humanoid takes under one. Japan already has more robots than newborns each year. By 2030, humanoids will outnumber construction workers in multiple countries. Steam took 60 years to reach 50 mil people, electricity 40, the internet 10. Robotics and AI will reach billions through connected fleets and software updates almost instantly. When one robot learns, the entire sector learns overnight. Railroads in the 19th century consumed over half of global investment capital. They facilitated the backbone of commerce and became the defining wealth engine of the industrial age. Over 50% of global corporate CapEx goes into digital and automation infrastructure. Robotics and AI are today’s equivalent, only now the rails are made of data, chips, and humanoid manufacturing lines. The steam engine multiplied human strength. The microchip multiplied human thought. Robotics will multiply human presence. Think bigger.

Big Money Monday 🎙️ 400 ENTANGLERS IN DA HOUSE 🔥

Missed Fwog? It’s ok, the second best alternative is still under 10 mil mcap. Walk with us and Buulieve. $BUU

This is a perfect example of why being crypto native isn’t enough to scale a launchpad. As someone who was a builder for many years, I made dozens of hires and had a strong focus on finding people who were crypto native for marketing related areas. Although when it comes to product, there’s deep expertise needed in user behavior, UI, modernization, incentive design, bonding curve mechanics etc. That expertise only comes from hundreds or even thousands of hours spent on R&D across ecosystems and dApps. There’s no other way around it. When it comes down to the minute details, knowing who CL is on Twitter or what narratives are hot onchain isn’t going to be a replacement for UI flow and bonding curve mathematics. “While I do really ascribe to Heavens and Peace’s philosophy on how to correctly build and not force anything, unless that something eventually makes its way onto the platform, being a philosophically driven platform won't be a strong enough moat to last more than a couple weeks. I don’t currently own any $LIGHT and it would take something quite impressive for me to buy it and partake in the eco. Since there’s a lot of mystery around how they’re going to onboard new deployers/builders, the higher price goes without this explanation, the weight of the revelation only increases.” These comments in my previous post proved quite true. This isn’t a shot at Heaven or Peace but a reflection for what’s required to establish a successful launchpad. Every launch has an attention roadmap, your job as a founder is to give ample material and foresight into new developments which renews consistent speculation. Inefficiencies with launchpads are largely solved and there’s not much left to squeeze out at this stage. Which is why we’re seeing Pump have such a strong dominance, especially surviving several vamps. Traders see their model stands the test and to back it, they have a $2B war chest which can outsize any community program from rivals. Success in our industry has always stemmed from creativity, not squeezing 10% better fees. Launchcoin was a perfect example of this and quite the opposite, their fees and lack of anti sniping measures was what eventually became detrimental to the eco. The moat was in quality projects choosing to launch with them as founders felt it was the best place to find user acquisition + organic funding. As this industry converges on a standardized model for launches, the only thing left to differentiate through will be novelty. What do you provide builders that helps them scale? What do you provide for traders to allow maximum speculation? Are you skating to where the puck has been or is heading? We’re far too progressed for launchpads or ecos in general to be launching with their pants around their ankles. What I mean is; you need to come out guns blazing, having aura or a grand idea will hold attention for 3 maybe 7 days maximum in this market. Teams keep mistaking themselves for how long traders will be willing to hold retention on their ideas. ICM was a little different as it was the first real collective effort we’ve seen toward a real revenue narrative since Arbitrum szn back in the DeFi bear market of 2023. So unsurprisingly, it still holds a good amount of attention as everyone knows it’s a matter of when not if. The thing about narrative (aura is just a big idea that fits into a narrative) is that narratives can be flipped quickly. Metrics, user experience, and community are the things that can actually be sustained over time. Anything that fails to establish those consistently is just an emotional trade. To the founders who are looking to shake this space, think as far outside the box as possible, doubt from external references is a good thing. Come to market with guns blazing and put nearly everything you got on the table. TGE will likely be your biggest attention hit you’ll ever have and the best chance at user acquisition. Don’t assume traders are going to be willing to wait on you. (flywheel mode)

Virtual Environments for Operator Agents: $CODEC My core thesis around the explosion of AI has always centered on the rise of operator agents. But for these agents to succeed, they require deep system access, effectively granting them control over your personal computer and sensitive data, which introduces serious security concerns. We’ve already seen how companies like OpenAI and other tech giants handle user data. While most people don’t care, the individuals who stand to benefit most from operator agents, the top 1% absolutely do. Personally, there's zero chance I’m giving a company like OpenAI full access to my machine, even if it means a 10× boost in productivity. So why Codec? Codec’s architecture is centered on launching isolated, on-demand “cloud desktops” for AI agents. At its core is a Kubernetes-based orchestration service (codenamed Captain) that provisions lightweight virtual machines (VMs) inside Kubernetes pods. Each agent gets its own OS-level isolated environment (a full Linux OS instance) where it can run applications, browsers, or any code, completely sandboxed from other agents and the host. Kubernetes handles scheduling, auto-scaling, and self-healing of these agent pods, ensuring reliability and the ability to spin up/down many agent instances as load demands Trusted Execution Environments (TEEs) are used to secure these VMs, meaning the agent’s machine can be cryptographically isolated, its memory and execution can be protected from the host OS or cloud provider. This is crucial for sensitive tasks: for example, a VM running in an enclave could hold API keys or crypto wallet secrets securely. When an AI agent (an LLM-based “brain”) needs to perform actions, it sends API requests to the Captain service, which then launches or manages the agent’s VM pod. The workflow: the agent requests a machine, Captain (through Kubernetes) allocates a pod and attaches a persistent volume (for the VM’s disk). The agent can then connect into its VM (via a secure channel or streaming interface) to issue commands. Captain exposes endpoints for the agent to execute shell commands, upload/download files, retrieve logs, and even snapshot the VM for later restoration. This design gives the agent a full operating system to work in, but with controlled, audited access. Because it’s built on Kubernetes, Codec can auto-scale horizontally, if 100 agents need environments, it can schedule 100 pods across the cluster, and handle failures by restarting pods. The agent’s VM can be equipped with various MCP servers (like a “USB port” for AI). For example, Codec’s Conductor module is a container that runs a Chrome browser along with a Microsoft Playwright MCP server for browser control. This allows an AI agent to open web pages, click links, fill forms, and scrape content via standard MCP calls, as if it were a human controlling the browser. Other MCP integrations could include a filesystem/terminal MCP (to let an agent run CLI commands securely) or application-specific MCPs (for cloud APIs, databases, etc.). Essentially, Codec provides the infrastructure “wrappers” (VMs, enclaves, networking) so that high-level agent plans can safely be executed on real software and networks. Use Cases Wallet Automation: Codec can embed wallets or keys inside a TEE-protected VM, allowing an AI agent to interact with blockchain networks (trade on DeFi, manage crypto assets) without exposing secret keys. This architecture enables onchain financial agents that execute real transactions securely, something that would be very dangerous in a typical agent setup. The platform’s tagline explicitly lists support for “wallets” as a key capability. An agent could, for instance, run a CLI for an Ethereum wallet inside its enclave, sign transactions, and send them, with the assurance that if the agent misbehaves, it’s confined to its VM and the keys never leave the TEE. Browser and Web Automation: CodecFlow agents can control full web browsers in their VM. The Conductor example demonstrates an agent launching Chrome and streaming its screen to Twitch in real-time. Through the Playwright MCP, the agent can navigate websites, click buttons, and scrape data just like a human user. This is ideal for tasks like web scraping behind logins, automated web transactions, or testing web apps. Traditional frameworks usually rely on API calls or simple headless browser scripts; in contrast, CodecFlow can run a real browser with a visible UI, making it easier to handle complex web applications (e.g. with heavy JavaScript or CAPTCHA challenges) under AI control. Real-World GUI Automation (Legacy Systems): Because each agent has an actual desktop OS, it can automate legacy GUI applications or remote desktop sessions, essentially functioning like robotic process automation (RPA) but driven by AI. For example, an agent could open an Excel spreadsheet in its Windows VM, or interface with an old terminal application that has no API. Codec’s site mentions enabling “legacy automation” explicitly. This opens up using AI to operate software that isn’t accessible via modern APIs, a task that would be very hacky or unsafe without a contained environment. The included noVNC integration suggests agents can be observed or controlled via VNC, which is useful for monitoring an AI driving a GUI. Simulating SaaS Workflows: Companies often have complex processes that involve multiple SaaS applications or legacy systems. for example, an employee might take data from Salesforce, combine it with data from an internal ERP, then email a summary to a client. Codec can enable an AI agent to perform this entire sequence by actually logging into these apps through a browser or client software in its VM, much like a human would. This is like RPA, but powered by an LLM that can make decisions and handle variability. Importantly, credentials to these apps can be provided to the VM securely (and even enclosed in a TEE), so the agent can use them without ever “seeing” plaintext credentials or exposing them externally. This could accelerate automation of routine back office tasks while satisfying IT that each agent runs with least privilege and full auditability (since every action in the VM can be logged or recorded). Roadmap - Launch public demo at end of the month - Feature comparison with other similar platforms (no web3 competitor) - TAO Integration - Large Gaming Partnership In terms of originality, Codec is built on a foundation of existing technologies but integrates them in a novel way for AI agent usage. The idea of isolated execution environments is not new (containers, VMs, and TEEs are standard in cloud computing), but applying them to autonomous AI agents with a seamless API layer (MCP) is extremely novel. The platform leverages open standards and tools wherever possible: it uses MCP servers like Microsoft’s Playwright for browser control instead of reinventing that wheel, and plans to support AWS’s Firecracker micro-VMs for faster virtualization. It also forked existing solutions like noVNC for streaming desktops. Demonstrating the project is standing on the foundations of proven tech (Kubernetes, enclave hardware, open-source libraries), focusing its original development on glue logic and orchestration (the “secret sauce” is how it all works together). The combination of open-source components and a upcoming cloud service (hinted by the mention of a $CODEC token utility and public product access) means Codec will soon be accessible in multiple forms (both as a service and self-hosted). Team Moyai: 15+ years dev experience, currently leading AI development at Elixir Games. lil’km: 5+ years AI developer, currently working with HuggingFace on the LeRobot project. HuggingFace is a huge robotics company and Moyai works as head of ai at elixir games (backed by square enix and solanafdn. I’ve personally video called the entire team and really like the energy they bring. My friend who put them on my radar also met them all at Token2049 and only had good things to say. Final Thoughts There’s still a lot left to cover, which I’ll save for future updates and posts in my Telegram channel. I’ve long believed cloud infrastructure is the future for operator agents. I’ve always respected what Nuit is building, but Codec is the first project that’s shown me the full-stack conviction I was looking for. The team are clearly top tier engineers. They’ve openly said marketing isn’t their strength, which is likely why this has flown under the radar. I’ll be working closely with them to help shape the GTM strategy that actually reflects the depth of what they’re building. With a $4 mil market cap and this level of infrastructure, it feels massively underpriced. If they can deliver a usable product, I think it could easily mark the beginning of the next AI infra cycle. As always, there’s risk and while I’ve vetted the team in stealth over the past few weeks, no project is ever completely rug proof. Price targets? A lot higher.

There’s going to be a period of time where your skillset greatly outweighs your portfolio. It’s the most emotionally volatile point in your journey. Day after day you refine your execution, sharpen your read on the market, and yet your net worth stays trapped in some arbitrary figure “hell”. You watch others with 100x your size and realize they don’t have any secret knowledge, just more capital. This is the make or break zone. Being low capital means you have a small window of opportunity to gamble into elite wealth as degenspartan would say. Each trade is like walking across land mines, one or two wrong moves can completely wipe you out. Yet, you know you have what it takes to join the big leagues, your net worth just doesn’t prove it yet. If you generally want to break through you need to find a flow state so strong you refuse to be shaken out of it because on the other side is a 9-5 job waiting for you. Do whatever it takes. In this stage, you’ll feel like you’re going insane until you get that one lucky break which makes it all worth the sacrifice.

The reason so few projects truly succeed is due to the extensive coordination required between tech and marketing. With the infrastructure and technology of cryptocurrency still in its infancy, it is extremely challenging to provide precise deadlines for new products and launches. So, when you see teams planning campaigns months in advance and executing them with high levels of creativity, it significantly distinguishes them from others. For instance, if you were building the next DeFi application to unlock trillions of dollars in refinancing, forecasting the technical deliveries is practically an art form. Once the dates are set you'll need to be ready to completely overhaul the user experience and branding in just a few weeks. Next is the development phase of the dual-themed tokenomics and points system flywheel to great incentivise early LP's and maybe even an Omnichain memetoken. All while fine tuning the perfect balance of attention:bootstraping epochs with pools across several blockchains. If you had these delivery capabilities then everything you touch would probably turn to gold :)

I know everyone wants some very detailed answers on everything to come and why you should continue to hold $NGL If you've followed my patterns throughout the lifecycle of Entangle you'll notice I get rather quite during periods where it seems like not much is happening And when I return it's usually with quite a bang This time isn't going to be different, I’m heads down working 12 hours non stop everyday, I've been hiring like crazy and building an army of rocket engineers and top end designers for what's about to come Rome wasn't built in a day and neither was Entangle If I was able to spot Pendle as my largest investment and publicly explain why it's going to do a 50x, maybe I might know what it takes to build a product that does the same (hint hint) I'll leave you with a clue: // The Riddler is never far

Every so often a unique project spawns which gets to run its own race. Day by day the thesis becomes more validated. Multiple companies raising at 9 figure valuations which have half the product Codec does. VC’s being scared of the token because it’s launched on Pumpfun and isn’t “professional”. As someone who’s spoken with, worked with and taken investments from hundreds of VCs over the years, I can promise you 99% offer little more than money. The biggest value add to any project has always come from the closest advisors getting their hands dirty, community members and advocates across socials. Founders and teams are scared to publicly say this because they don’t want to ruin relationships and future funding rounds. A community member with 2k followers who relentlessly bullposts and shares updates and theses in group chats would have more net impact than most VCs in this space. Imagine coming across an elite team which has taken an entirely new approach, not only architecturally, but tokenwise. Instead of filling the round out with investors who have a mandate to return funds to LP’s in a set time period, they’ve said screw that and gone for a bottoms up approach. Most teams don’t believe in their product, hence they’re scared to launch without hype and months/years of build up to TGE. What direction do you fall when you walk off a cliff? That’s why every token launching at X valuation plummets as you’ve shown every card in the deck before you’ve even launched. The best teams are the ones who stay conserved, put their heads down and deliver day by day. They don’t need to maintain a billion dollar hype factory from the start and can instead use that mental bandwidth to ship the correct way and run their own race. Cobie himself said this. Fast money has turned this industry backwards. To be successful doesn’t require you to be a freak of nature, it instead requires you to have the discipline to ignore the short cuts and take the right steps. No matter how hard you try you simply can’t fake this. Veteran traders pick up on it from a mile away. They’ve always said an up only chart is the best form of marketing, so why wouldn’t you launch at 0 and give yourself the best starting point? $CODEC coded.

Entangle Labs is adding some heavy reinforcements to it's rocket engineering team. If you're a top level marketer, degen, writer or designer dm me your experience. Only looking for top of the industry.

I’ll be going live on Spaces in a few hours with @Realisworlds. We’ll discuss $REALIS, world simulations for AI Swarms and why Agent’s need a realistic environment to evolve. Dec 6th - 12am UTC nitter.app/i/spaces/1DXGydNAEbLKM…

Wouldn’t be surprised if this does a 10x - One of the most successful game developers and publishers in Asia - $5+ bil stock valuation & $1+ bil balance sheet - Winner of top prize in BNB hackathon (close with binance) - Partnered with and bringing telegram mini games to TON - Partnered with Alibaba cloud - Animation, map, interface, numerical, code generators, asset libraries - Token required for all asset generations & marketplace - New dev tools, interfaces and upgraded UX coming 6 mil is criminal @Kingnet_AI $KNET

A deep dive into the @TheCitadelGame ⬇️ (1/32)

What is $CODEC Robotics, Operators, Gaming? All of the above and more. Codec’s vision-language-action (VLA) is a framework agnostic model, allowing for dozens of use cases due to its unique ability to visualize errors in comparison to LLM’s. Over the past 12 months, we've seen that LLMs function primarily as looping mechanisms, driven by predefined data and response patterns. Because they’re built on speech and text, LLMs have a limited ability to evolve beyond the window of linguistic context they’re trained on. They can’t interpret sensory input, like facial expressions or real time emotional cues, as their reasoning is bound to language, not perception. Most agents today combine transformer based LLMs with visual encoders. They “see” the interface through screenshots, interpret what's on screen, and generate sequences of actions, clicks, keystrokes, scrolls to follow instructions and complete tasks. This is why AI hasn’t replaced large categories of jobs yet: LLMs see screenshots, not pixels. They don’t understand the dynamic visual semantics of the environment, only what’s readable through static frames. Their typical workflow is repetitive: capture a screenshot, reason about the next action, execute it, then capture another frame and repeat. This perceive-think loop continues until the task is completed or the agent fails. To truly generalize, AI must perceive its environment, reason about its state, and act appropriately to achieve goals, not just interpret snapshots. We already have macros, RPA bots, and automation scripts, but they’re weak and unstable. A slight pixel shift or layout change breaks the flow and requires manual patching. They can’t adapt when something changes in the workflow. That’s the bottleneck. Vision-Language-Action (VLA) Codec’s VLA agents run on an intuitive but powerful loop: perceive, think, act. Instead of just spitting out text like most LLMs, these agents see its environment, decide what to do and then execute. It’s all packaged into one unified pipeline, which you can visual into three core layers: Vision The agent first perceives its environment through vision. For a desktop Operator agent, this means capturing a screenshot or visual input of the current state (e.g. an app window or text box). The VLA model’s vision component interprets this input, reading on screen text and recognizing interface elements or objects. Aka the eyes of the agent. Language Then comes the thinking. Given the visual context (and any instructions or goals), the model analyzes what action is required. Essentially, the AI “thinks” about the appropriate response much like a person would. The VLA architecture merges vision and language internally, so the agent can, for instance, understand that a pop up dialog is asking a yes/no question. It will then decide on the correct action (e.g. click “OK”) based on the goal or prompt. Serving as the agent’s brain, mapping perceived inputs to an action. Action Finally, the agent acts by outputting a control command to the environment. Instead of text, the VLA model generates an action (such as a mouse click, keystroke, or API call) that directly interacts with the system. In the dialog example, the agent would execute the click on the “OK” button. This closes the loop: after acting, the agent can visually check the result and continue the perceive–think–act cycle. Actions are the key separator which turns them from chat boxes to actual operators. Use Cases As I mentioned, due to the architecture, Codec is narrative agnostic. Just as LLM aren't confined by what textual outputs they can produce, VLA’s aren’t confined by what tasks they can complete. Robotics Instead of relying on old scripts or imperfect automation, VLA agents take in visual input (camera feed or sensors), pass it through a language model for planning, then output actual control commands to move or interact with the world. Basically the robot sees what’s in front of it, processes instructions like “move the Pepsi can next to the orange,” figures out where everything is, how to move without knocking anything over, and does it with no hardcoding required. This is the same class of system as Google’s RT-2 or PaLM-E. Big models that merge vision and language to create real world actions. CogAct’s VLA work is a good example, robot scans a cluttered table, gets a natural prompt, and runs a full loop: object ID, path planning, motion execution. Operators In the desktop and web environment, VLA agents basically function like digital workers. They “see” the screen through a screenshot or live feed, run that through a reasoning layer built on a language model to understand both the UI and the task prompt, then execute the actions with real mouse and keyboard control, like a human would. This full loop, perceive, think, act runs continuously. So the agent isn’t just reacting once, it’s actively navigating the interface, handling multiple step flows without needing any hard coded scripts. The architecture is a mix of OCR style vision to read text/buttons/icons, semantic reasoning to decide what to do, and a control layer that can click, scroll, type, etc. Where this becomes really interesting is in error handling. These agents can reflect after actions and replan if something doesn’t go as expected. Unlike RPA scripts that break if a UI changes slightly, like a button shifting position or a label being renamed, a VLA agent can adapt to the new layout using visual cues and language understanding. Makes it far more resilient for real world automation where interfaces constantly change. Something I’ve personally struggled with when coding my own research bots through tools like playwright. Gaming Gaming is one of the clearest use cases where VLA agents can shine, think of them less like bots and more like immersive AI players. The whole flow is the same, the agent sees the game screen (frames, menus, text prompts), reasons about what it’s supposed to do, then plays using mouse, keyboard, or controller inputs. It’s not focused on brute force, this is AI learning how to game like a human would. Perception + thinking + control, all tied together. DeepMind’s SIMA project ihas unlocked this by combining a vision-language model with a predictive layer and dropped it into games like No Man’s Sky and Minecraft. From just watching the screen and following instructions, the agent could complete abstract tasks like “build a campfire” by chaining together the right steps, gather wood, find matches, and use inventory. And it wasn’t limited to just one game either. It transferred that knowledge between different environments. VLA gaming agents aren’t locked into one rule set. The same agent can adapt to completely different mechanics, just from vision and language grounding. And because it’s built on LLM infrastructure, it can explain what it’s doing, follow natural-language instructions mid game, or collab with players in real time. We aren’t far from having AI teammates which adapt to your play style and personalizations, all thanks to Codec.

Can’t believe I just flew halfway across the world to see the fridge It was worth every second of it $Fridge

Sizing Your Conviction I did a poll in my telegram asking “If there was an 80% chance that you could 2x your entire portfolio in 1 month, but you have to sit on your hands and do nothing, would you take it?” Considering 80%+ of people said yes to this, I’m quite sure majority who voted yes would have their risk management and expressions of trades not reflecting that same belief. Let’s assume you have a port full of 100% USD which equals $100 for easy maths. How do you double this without taking outsized risk in a one month period? My favourite R:R trades are allocating roughly 25% (my max size) of my port to a single trade which I believe is a very strong chance at a 5-10x, if it’s more than even better. 25% is enough size which moves my goalpost considerably if correct and small enough that I can sleep at night knowing I have 3 more chances left in the tank if I’m wrong. Now if I believe there’s an 80% chance of 5x’ing a trade with size, what returns do I need to expect from aping new shitcoins? Scenario A: You allocate 25% of your portfolio to a trade where you believe there’s an 80% chance of success. If it hits, that 25% grows 5×, turning $25 into $125, while still holding the other $75 in USD. Your new total: $75 + $125 = $200, effectively doubling your portfolio (+100%). If it fails (20% chance), you lose the $25 staked and are left with $75 (–25%). EV = (0.8 × $200) + (0.2 × $75) = $160 + $15 = $175 So, if you took this same type of trade many times under the same conditions, on average your portfolio would grow to $175 per $100 risked, a +75% expected gain. (1.75x) Scenario B You allocate 5% of your portfolio to a trade with a 10% chance of success. To match the +75% portfolio gain from Scenario A, this small stake would need a 16× return, turning $5 into $80. If it hits, your total portfolio becomes $95 + $80 = $175, the same +75% result. Success: 10% × $175 = $17.50 Failure: 90% × $95 = $85.50 Total EV: $17.50 + $85.50 = $103 So on average, you end up with $103 for every $100 risked, a +3% expected gain. (1.03x) Results Scenario A = 8 out of 10 trades are wins (your 25% stake goes 5×), 2 are losses (you lose the 25% you risk). Each time you: Win: your portfolio doubles (because 25% × 5 = 125%, plus 75% untouched = 200%) Lose: your portfolio drops to 75% of what it was before (you lose the 25%) 2 losses: multiply by 0.75 × 0.75 = 0.5625 8 wins: multiply by 2 × 2 × 2 × 2 × 2 × 2 × 2 × 2 = 256 100×0.5625×256= $14,400 If you risk 25% of your portfolio per trade, win 8 out of 10 times (with 5× returns), and compound each time, your $100 can grow to $14,400 Scenario B = You risk 5% of your portfolio per trade with a 10% chance of hitting a 16× return. You win 1 out of 10 times, lose the other 9. Each time you: Win: your portfolio increases by 75% (5% × 16 = 80%, added to the 95% untouched) Lose: your portfolio drops by 5% 100×(0.95)9×1.75= $110.29 If you risk 5% per trade, hit just 1 win out of 10 with the rest being losses, your $100 grows to $110.29. While it’s difficult to extrapolate an accurate process due to onchains non linear outcomes, it highlights how important being consistently right with size is as opposed to gambling higher risk coins on shorter time frames. My thoughts I’m convinced if you show up everyday and put in the research, on average you can find one trade per month over the course of a year, which you can allocate 25% of your port and make a fairly risk free 5x being under a 7 fig port. Since February, the markets have very clearly rewarded conviction trades which don’t come around often. Yes Cupsey and traders of his calibre still rinse the market on a daily basis, though they make up 0.0001%. Looking from an average perspecitve, onchain has more losing traders than ever before. This is why I’ve always been a conviction trader and infrequently share new plays as the results are heavily against you, especially in the market conditions we’ve experienced these past 6 months. “What do you do with all your time if you’re just holding coins?” Constantly underwriting positions, researching and adjusting to what the market is showing me. - Is token abc a more risk adjusted trade compared to token xyz if abc 3x’s from here? - If I’m to rotate from abc to xyz, what are some key signals which would present it as a better opportunity? - In a market or eco crash, what are key levels which I’d look for to increase or decrease exposure? - Where are the potential faults in my trade which I could be overlooking, if the team delays or the product takes > 1 month past their roadmap, does this lose attention? - Am I comfortable holding this at -70% it’s current price, if not, am I betting with conviction or emotions on a hot trend? - Where are emerging trends which will have overlap with crypto in the coming months? I’m also a massive proponent of pay-to-play and trading with sub 1% size to constantly refine your edge, then sizing up when the right token or conditions is presented in front of you (e.g. supported by a large name with high hit rate or 2 different coins reaching 50 mil mcap in a week). Understanding sizing dynamics based on the accessible information you have is just as important as the research you put into the project/token itself. If you want to consistently perform over long periods of time, you need to treat this game like a professional. Most lose their discipline because onchain feels like a game of monopoly where numbers on a screen morph their perception on accessibility to wealth.

I’ll be going live on Spaces with @CottenIO. We’ll discuss $AVB, AGI and the future of AI Agents. Nov 26th - 12am UTC nitter.app/i/spaces/1YqKDkyPARaxV

The biggest risk you take is being underexposed to a sector that’s going to scale exponentially faster than the internet. In my 4-5 years of crypto, not many narratives have excited me as much as AI. For the last 20 years, machine learning engineers have been stuck in silos, caught between private corporations and the limited opportunities of open-source development. Most have been forced to funnel their dreams into pet projects while working in the private sector, dominated by corporations with a stranglehold on income and resources. But now, the greatest distribution method for finance and information has emerged—crypto. And it’s unlocking the next stage of technology. The reason I was so bullish on ai16z is its rapidly growing ecosystem. It’s become the heartbeat for developers building products with Eliza, reminiscent of Solana’s resurgence after the FTX crash. I’m not going to comment on the recent drama and glad that bad behaviour was called out. Projects like AVB and Inori are enabling swarms of autonomous agents and collaborating with open source frameworks. This will be the next stage of AI Agents—a wave that’s about to completely take over the internet. AGI won’t be a single monolithic agent dictating the future. Instead, it will be a cohort of millions working in sync with different data sets, all contributing to a global compute layer built on crypto rails. This will solve inefficiencies worldwide as agents begin by handling menial admin tasks—those on the lower end of logic. On the crypto-native level, we’re starting to see Agents tap into revenue generated from LP fees, which I 100% agree with as the first stage of fully focused revenue driving new ideas. We drifted quite far away from AI fundamental verticals such as data, compute and LLM’s. As the trash gets filtered out over the coming months and people become more educated we’ll see a convergence between the memes and real products. DeFi OGs will find an edge and spin elaborate ponziomics around tokens—like tax fees that automatically flow into the Agent’s treasury to fund its goals. While tax fees can cause issues with CEX listings, I’m sure some devs will get creative with their designs. During the 2023 bear market, a strong narrative emerged around projects with real revenue, and valuations became closely tied to it. As Agents and swarms become more efficient and advanced, they’ll start earning substantial incomes, with valuations tied to more than just pure speculation (a good and bad thing). Some of the leading categories include: 1. Influencer Agents As these become more viral, they’ll gain access to the same perks as human KOLs—revenue for engagement, brand sponsorships, and monetized products across platforms like Twitter, TikTok, Youtube, Twitch, and Instagram. 2. Trading Agents Something that’s dominated TradFi for a while but is now emerging as a public service in Web3. Token prices will likely reflect how successful the Agent is at trading, with rewards shared among stakers. The first Agent pulling big gains and hitting media headlines will likely create massive tailwinds for virality. 3. Niche Product Agents So far, we’ve only seen the most easily deployable and attention-grabbing Agents spawn, like chatbot KOLs on Twitter. These are noticeable and easy to replicate. However, we haven’t yet seen many teams pursue niche product offerings that focus on exponentially growing and coordinating autonomous agents/swarms. This is where I’m focusing heavily and see the most upside in the coming months. 4. Infrastructure One of crypto’s favorite sectors, as it feels easier to evaluate based on sector demand. Projects tied to ecosystems like Virtuals will see a yin-yang effect—benefiting from the ecosystem’s upside while being somewhat limited by the “Virtuals project” label. The best teams will build where technical friction is minimal, and AI devs will be less likely to build on bad infrastructure just to capture more attention. Plenty of money will still be made buying into projects within these hot ecosystems, but it will require a bit more left-curving and is quite chain specific. Agents are unlocking entirely new revenue streams, and we’re still at the very early stages of what’s possible. The levels of the 2021 metaverse hype is about to come back to life, but this time slightly more developed and refined. Just as Axie Infinity allowed people from third-world countries to earn a meaningful income, this new wave will do the same but with exponentially more sophistication. Every machine learning engineer just heard the sirens. There’s finally an alternative to closed-off corporations hoarding control with their proprietary frameworks. We’re about to witness two decades of the smartest minds—who’ve spent their lives caged and unable to showcase their full potential—unleashing everything. We’re about to enter a bubble that eclipses the internet boom by 10x. At some point in the next 12 months we’re going to see a team raise 9 figures for a AI specific chain/layer. A subpar product live on the market is usually going to be valued more than a “potentially” better product still being developed though. There’s going to be an increasing amount of grifters who come into the space so doing due diligence on projects and founders is going to be extremely important. I’ll be trying to highlight and support legitimate players as much as possible. If you’re a dev building cool stuff, DM me. I’d love to learn more and help however I can.

What I’ve been working on this past month with the $CODEC team: - Researching the entire Robotics sector and technical architecture from a birds eye perspective with @unmoyai (latest developments, best practices etc) - Understanding where and how Codec’s product positions in every single one of them (addressing the pain points) - What specific use cases and narratives this unlocks - The biggest value layer for the tooling and where major capital is flowing - Comparing web2 tooling and what led to the success of AI szn (Virtuals & ai16z) - what are the core components to spark developer activity? - Tokenomic flywheels and utility The team has done a great job with technical articles, although I still believe they’re only brushing the surface of explaining how important their tooling really is. My aim is to help build frameworks and processes to capture the narratives more succinctly while highlighting the true features the SDK unlocks. As it stands, there’s still nothing even in web2 which offers the same type of abstraction that Codec is working towards. Open source contribution is the way forward and leading foundation models like Nvidia’s Issac Gr00t are already building with this in mind as data and task training is still so early on. You can’t use AI text strings to train robots, there’s no “internet of robotics”. Each of these humanoids and robots you’re seeing are built with full stack monolithic architecture, there’s no carry over for task training or ways to add new components (extra sensor or camera to the back of the head) without having to rewrite the entire codebase. Instead of building data pipelines and simulations for singular monolithic architecture, they’re taking a modular approach where instead of building tasks for whole systems, It breaks each part of the robot down into core components (motors, sensors, actuators, eyes etc). Meaning it can easily plug into any type of robot/humanoid no matter its system and instruct it to carry out requirements based on individual parts. Similar to what we saw with Eliza and Virtuals, devs didn’t need to code their entire framework and had GPT models with all the plug-ins (twitter, news feed, dexscreener API’s etc) at their finger tips. All they needed was personal context for their Agents inputs, then it was purely a matter of fine tuning. The goal for Codec is very similar, a developer hub where devs don’t need to worry about building their own “game engine”, the SDK toolkit is what Unreal Engine/Unity is to game development. Myself and @0xdetweiler have been doing a lot of hidden work in the background to help achieve this. This work has taken a significant amount of my time away from trading and why you haven’t seen me writing as frequently on Twitter or Telegram. For those who’ve read my content, you know how big I am on not sacrificing trading time as all it takes is one good trade to change your trajectory. The potential, narrative and market share Codec is going for is so large it convinced me to sacrifice my time as the pay off could be the next ai16z. The tech alone isn’t enough, the reason I’m writing this is due to how important it is to build in public and have constant communication about direction and core positioning (what my 30 page masterdoc consists of). Today we saw the tip of the ice berg for Humanoids with the 1X release, this is only going to accelerate with more teams releasing their robots onto the market over the next couple months. Robotics will have the largest encapsulation, growth and mindshare of any narrative we’ve ever seen. Don’t bet against the future.

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Everyone who participates in crypto understands it's a purely attention-driven economy. But for some reason, a large majority of builders are purely focused on technological advantages. Riddle me this: Crafted tales capture more than eyes; what's the key to their lasting prize? Answer: Storytelling. Most get off on the wrong foot, thinking that technology that's 0.1% better is going to redefine the industry and provide them with a comfy product-market fit. If you open up a new website, the first 2 seconds will depict 90% of the users' feelings. When I open a design as a marketer, and my brain doesn’t instantly think “fuck yes” within the first 2 seconds of opening it, I know something needs to be edited. But even more importantly than branding is the ability to convey a story through your product to tie emotional connection. Crypto, or software in general, is a high barrier to entry; these small technological advancements don’t compute with retail, and most have only started to realize the power of meme coins to convert complexity into fun. Teams who were DeFi OGs become disconnected with what’s intellectually digestible for a normal user and are now tipping to the other end of the spectrum with 100% stupidity and 0% creativity. Bored Apes shocked the world because they told a story with enough creativity and simplicity to hit every vertical of the audience. The new standard moving forward will be those who can turn innovative tech into a Harry Potter series.

People keep congratulating me on $CODEC, what for? So far, we haven’t even seen: - Token utility - Incentives - Roadmap - Demos - New website - Marketplace - Future Partnerships - Use cases + more All we’ve seen is a few partnerships and the release of their resource aggregator (Fabric). I didn’t write multiple threads, multiple telegram posts, speak with the team on a near daily basis, advise on the marketing, branding, positioning to celebrate a 6 mil mcap. A chatgpt wrapper of a anime girl with pink hair was enough for a 6 mil mcap back in AI szn. Projects were sending to 9 figures overnight for winning a hackathon or getting spotlighted from large KOLs/researchers. Everyone’s forgot what happens when the lights switch on and people believe once again. The reason I’ve switched so bullish this past week for onchain is belief is at all time lows. The past month has been some of the largest progressions we’ve made in this industry along with positive macro backdrop. Remember that feeling of money falling from the sky? Might not be too long until we get to experience it again.

The fact we’ve speed ran the axiom trading style into the ground is +EV for the space. To bring life back onchain, we need runners and success stories. The only way you get this is by traders dumping at typical resistance levels and the coins never give another pullback, going vertical in a straight line. You only win if you’re a believer. Opposingly, everyone’s trading style has been based on wallet tracking and volume the past 12-18 months, other than AI szn and ICM (utility). I spend a lot of time pondering where onchain might be heading but feel I’ve never really gave it deep concise thought. While I’ve given many macro ideologies of how ICM might evolve, they felt more broad in concept. Tbh I think you could consider onchain and alts to have been in a bear market since Trump coin. OTHERS chart confirms this for the first 7 months going from January to July with a -50% drawdown, while we did have decent performance from July to November, it still doesn’t really feel like we’ve had any form of consistent narratives due to rotations. Even in the 22/23 bear market, we’d still get multi week narratives which were typically a safe buy and hold for several days. The axiom trading style has speed ran this into the ground as deployers squeezed every bit of juice out from multi walleting new launches. There’s clearly demand for fundamental assets, look at the stock market. What’s killing onchain and crypto traders is the fact we’ve entered some of the strongest liquidity injections seen since covid stimulus. But our “digital hedges” have basically been flat or down when looking at the BTC/SPX chart for the past 160 days and OTHERS/SPX for 270 days. Crypto has always been the most positively skewed sector to new liquidity injections, which is a strong reason we haven’t seen any traders be consistently right over the past year as we’ve never really traded in this type of environment. So what do we need for onchain and alts to revive? @goodalexander had a really interesting “conspiracy” on his recent @notthreadguy stream which I ascribe to. Tldr: inflations spinning out of control, only way to stop government debt is buying treasuries to offset the constant printing. Who are some of the biggest treasury holders? Stablecoins. Stablecoins need to be backed 1:1 in collateral with treasuries. So by increasing stablecoin adoption you can potentially offset inflation through holding treasuries as collateral. How do you increase stablecoin adoption? Onchain stocks. If you go deeper into the bills they’ve been submitting, they’re heavily inclined to set up legal frameworks for stocks to live and trade onchain. As more stocks come onchain, their value needs to be pegged to traditional markets, meaning that more liquidity (stablecoins) needs to become available, thus doing more treasury buybacks. Right now there’s something like 28 billion a quarter in stablecoin growth and we need to be doing 83 billion per quarter (almost 4x) to hit the deficit target to reduce inflation. People holding their assets in stocks offchain doesn’t give any value to the government when trying to offset debt. Rather than increase taxes, they want to turn capital markets into a casino (speculation on crypto rails = more stablecoin demand = funding the debt deficit). That’s the macro picture. I’m not saying this will be right and goodalexander has been wrong before, although I think it’s a very well thought out thesis where there’s a lot of evidence pointing to this being the direction it plays out in. So say we get this grand idea of onchain stocks increasing heavily from stablecoin adoption, then we can almost see crypto acting as a pre market to stock “IPO’s” and companies joining S&P 500 etc. This is where the ICM thesis comes in for real businesses/products coming onchain. There’s going to be extreme incentivization for businesses to start onchain and I believe we’ll eventually not only see stocks coming onchain but crypto projects turning to stocks (being available for boomers to buy). This will be the ultimate speculative bridge which looks to be the Trump’s multi year game plan based on legalisation bills. Memecoins will always exist in some format (you could argue polymarket predictions are a form of memecoin), although the stock market has existed for hundreds of years. If you’re betting on speculative future outcomes, it’s quite safe to bet on the idea of stocks and businesses coming onchain instead of betting on attention (memecoins and derivatives) to revive our industry. Which all loops back to my original idea of why it’s good axiom style trading gets washed out. If we’re to see a return to utility and fundamentals coming onchain, wallet tracking will have its perks although it’s not going to be where the bulk of the money is made. Everyone knows there chances of beating new deployers is second to none. Well formulated theses and multi week/month time horizons on industry shifts (conviction) will once again return to the throne as the highest +EV trading style. It’s already proven itself with stocks. Now we’re expecting speculation to shift from tradfi and stocks to crypto as the ultimate rail to offset inflation. If true, then you value trades like Hyperliquids HIP3 very highly.

Was great to finally meet the @codecopenflow team, @0xdetweiler & some friends the other night. After being able to talk in person it’s clarified my position that Codec is the most advanced Robotics infra in our industry. What they’re building is a toolkit that’s currently non existent even in web2 and its arrival will fill a massive hole for data streams. It would have been very easy for me to stay in the comfort of my home and continue to regularly bull post and trade. Although with the tech they’re building, this is genuinely the chance to be at the ground floor for the most obvious narrative and industry that will 100x from here. They’ve got the tech, the vision and direct input from Hugging Face LeRobot team to validate and shape the usability of their toolkit for real world use cases. So what am I doing? We’re all well aware that crypto is just as much of a marketing and optics game as it is tech. My focus is going to be on the growth, positioning, content, flywheel, ponzinomics, UI and that sprinkle of Shawmakesmagic we saw from AI szn. Think Eliza GitHub repo of Robotics, with a dash of Virtuals ponzinomics and a front end that doesn’t require you to be a proficient coder to even understand what’s going on. It’s a matter of time before robotics has its “chatgpt” moment and I don’t think we’re too far away. The fact we’re so early with a product as developed as it is + direct input from some of the best Robotics labs in the world is quite insane.

I get asked a lot what robotics plays I’m in besides $CODEC. Answer: none so far. If I believe robotics is the next AI style meta with the potential to run into the billions, and if I see Codec as the ai16z/Virtuals of the ecosystem, why would I allocate capital and more importantly, conviction, to my second best idea? My trading style is closer to Jez’s, where I full port my highest conviction plays. That means I’ve had some horrendous round trips, but I’m not here for average returns. Full porting forces accountability, you can’t hide behind a basket of half baked bets. That mental clarity is part of your edge. If you show up to this industry everyday, your objective is to take outsized risk and swings which can land you generational wealth if correct. The problem is most traders “best idea” aren’t actually great. When you full port mediocrity, you blow up. Diversification only makes sense once you’ve hit liquidity constraints in your main project. Even then, unless you own 3-4%+ of the supply, I don’t think it’s a real issue (you can always OTC anyway). Over the past year, onchain has proven that rotations are getting faster and faster. Even if robotics becomes the grand narrative I’ve been calling for months, only the top projects will attract the mindshare and liquidity required to deliver life changing outcomes. Leaders have always been the kingmaker trades and chasing betas hasn’t worked for 9 months now. There just isn’t enough active liquidity. History shows the majority of generational returns accrue to the top 1-3 projects in a sector. Robotics won’t be different. The fastest horse is the fastest horse.

The consensus is that everything Entangle touches will inevitably turn to gold.

If you're wondering why $AVB is pumping read my thread Then think about how far we have to go

I’ve seen a lot of posts talking about how having a job in crypto is the best way to make it, which I think it dumb. Even if you offered me 500k a year I still wouldn’t take it. If you’re a decent trader who understands risk management, why would you sacrifice your freedom when there’s 6 figure trade opportunities popping up every week? Just landing one of these with size would outperform almost any job title you’d be busting your ass at for 10+ hours a day, 52 weeks a year. I’ve been on both sides of trying to scale a company and trying to make it as a trader. Even after dedicating every waking hour for over 18 months, launching at 2 bil mcap, I still walked away with nothing and have had significantly more success trading, even in the hardest conditions we’ve seen in a long time. Arguably you could say I’m a better marketer than trader anyway, so what point does that prove? Yeah you can argue on the equity side, but unless you build the one in one million, your time would be much better off bullposting projects you invest in and constantly looking for new coins/metas, even in these market conditions. More importantly, you pigeon hole yourself into a specific narrative. Say you doubled down on AI in january and then the entire meta is gone, now you’re building in a ghost town and have no options to look externally. We have new metas pop up every 2-3 months onchain. If you’re positioned with a profile pulling good engagement and also spend the time improving your trading, the trade off is significantly better. Plus you get to decide your work hours, your lifestyle, when you wake up, who you talk with etc. I’m not saying that this is for everyone and it applies to a small group of talented people. Not many have the skillset to pull engagement which would land them a comfy 6 figure role in the first place. The lifestyle you live as a disciplined trader outweighs any role imo and it is possible if you’re willing to outwork everyone. The truth is, your chances of creating a successful company in crypto are extremely slim. Very few make profit and if they do there’s a decent chance you won’t see the rewards of that unless you’re one of the C levels. Token vesting cliffs mean you’ve probably got a year after TGE before you’d even see any bonuses other than your salary, which is a long time for things to go wrong. So you’re basically signing yourself up to receive a comfy paycheck until the company blows up. Inversely, trading is scalable, growing your socials is exponentially scalable and probably a lot easier than trying to build a successful business. People who talk about having no drive or passion without a job probably just suck at living life. Go play sports and put excess time into health, get a 6 pack and good friend group then tell me your life sucks.

Every day we’re seeing billion dollar headlines for robotics. Only 12 months ago, these companies and figures were 10-20x lower. If it’s not already painstakingly obvious how successful this sector is going to become, dedicate a weekend to research so you aren’t left behind. History shows the biggest value in tech waves often accrues to the enabling layers, Microsoft in PCs, Apple in smartphones, AWS in cloud. Robotics won’t be different, the infra layer that developers build on will capture more than any single hardware play. One common theme I hear from friends is they’re worried about being underexposed to traditional robotics. Yes, there are going to be insane headlines about Figure AI doing a 200x from seed valuations or the equivalent. But if you’re below mid 7 figs give or take, Web2 is not where you want to be (unless you have insane info/connections). Time and time again, crypto has offered the most asymmetric and more importantly, accelerated upside. There’s significantly more risk, but it also comes with the luxury of not being time rugged which sometimes is worse in itself. Nvidia is the largest stock in the world because of AI’s acceleration. Looking back, would you have preferred to punt on ai16z, Virtuals, AIXBT, GOAT in their first leg, or hunt for undervalued “fundamental AI plays” on Robinhood? You might have kept more money in the long run, however we’re here for the sleep depriving uPNL aren’t we? Like the early innings of AI, we’ve been given a very special moment where the pinnacle of technological innovation is staring us dead in the face. How you navigate its progression is a reflection of your understanding of market fundamentals and human greed. Just like AI, we’re going to be met with endless vaporware as we move closer to general purpose robots. For those willing to roll the dice and catch the leaders, you’ll make outsized multiples that make Andrew Kang’s seed investments look small. I know which game I’m playing.

OpenAI just announced their plans to release an AI Agent tool in January. The entire AI meta took off after ChatGPT 4 back in March, setting the foundation for where we are now. As @himgajria put it: 1st Phase of AI: Machine Learning 2nd Phase of AI: LLMs 3rd Phase of AI: Social LLMs And the 4th phase? Autonomous Virtual Beings (AVBs). Social LLMs are already nearing their developmental limits and will soon hit a point of diminishing returns. It’s time to look ahead to the next stage of evolution. AVBs take Social LLMs and unlock a world of additional capabilities. Imagine tasking an AVB with, “Build me a website detailing civil engineering blueprints and create an educational Twitter account with ongoing updates of this knowledge, actively research new developments and invest in growing companies.” These agents have no limitations, beyond the scripts they’re programmed with. We’ll reach a point where Agents will be able to build a village of Agents where they work hand in hand to produce their own scripts and progress without human intervention. Some of the sharpest minds in the space are working on marketplaces where devs can finally earn a good living from open-source contributions. This will attract the brightest talent, and OpenAI is several steps behind compared to those deep in the AI trenches. The fact they’re releasing an Agent tool in January shows just how close we are to having personalized Agents that can handle any online task. This will be the holy grail of AI narratives. $AVB aligns perfectly with this vision, and @CottenIO has extensive experience with AI in open-world environments. Tim’s infrastructure company, Scrypted, which is building out AVBs, received significant pre-seed backing from a16zcrypto CSX, the Crypto Startup Accelerator. Tim and the team participated in a 10-week program in London, where they worked on the design of the Commit-Reveal Pairwise Comparison protocol (CRPC) and the Byzantine Risk Tolerance (BRT) consensus mechanism—two foundational components for the upcoming Inori network. Inori will be a new kind of blockchain designed to handle fuzzy or non-deterministic systems (like AI LLMs) that can’t be secured by traditional Zero-Knowledge Proofs or current rollup technology. a16z invested in Scrypted to build out autonomous AI agents and the Inori network. I’ve been lucky enough to chat with Tim in DMs, and he’s shared some exciting details about what’s coming next week as he wraps up at Devcon. One agent is already live and improving every day: @chad_onchain. Soon, Chad will evolve into a cracked AI investor who generates ideas, spins up new agents, and even funds them (potentially creating community-driven memecoins) to pursue development—all without human intervention. Projects from the current meta are already at 5-20x the market cap of $AVB. Start looking at where the next evolution will come from. You make asymmetrical gains by front-running narratives, and this one couldn’t be clearer. Skate to where the puck is going, not where it’s already been.

The hardest part about investing in AI is understanding how each sector works. I’ll break them down: 1. Data Data is crucial as we're nearing the limits of what can be publicly scraped from the internet. Both on-chain and off-chain companies will increasingly turn to decentralized data providers to gain a competitive edge in their fields. Data Availability: Projects like @0G_labs are building the first decentralized operating system. One of the biggest pivot points in AI will be when we achieve full personalization instead of standard packages. Imagine if Google Chrome knew exactly what to prompt you with based on the time of day, your schedule, interests, activities with friends, finances, etc. It’s similar to how the YouTube homepage feeds you new videos. Synthetic Data: Genuine data is becoming scarcer by the day for model training. Synthetic data is artificially generated and mimics real-world data, used to train AI models while maintaining privacy, reducing bias, and handling edge cases where real data may be unavailable. @driaforall looks interesting and is building in this space. Data Labeling: Data labeling involves annotating or tagging raw data (such as text, images, or audio) with meaningful labels to help AI models make accurate predictions and classifications. This is crucial to the AI stack as it forms the foundation for building LLMs. @synesis_one has some unique incentive models to boost data labeling results. Data Intelligence Tools: An emerging theme that I expect to continue growing. This includes bots, dashboards, wallets, analytics, and more. My favorite is @_kaitoai, which uses Bittensor’s subnets to develop and deploy text-embedding models that surpass current state-of-the-art (SOTA) performance. These projects are vital in providing the raw material (data) for AI training and inference, enabling decentralized apps (dApps) to securely access and utilize large-scale datasets. 2. Model Creation This involves designing, training, and developing an AI model using algorithms and datasets to enable it to learn patterns and make predictions or decisions based on input data. Model Creators: This allows experimentation with models in an open-source environment, rather than being closed off to private entities. It’s one of the more exciting sectors, as it enables a global effort in developing AI daily. @NousResearch is building multiple products in this space and has a very unique pitch. Federated Learning: A specific approach in machine learning where multiple devices or nodes collaboratively train a model on local data without sharing the data itself, ensuring privacy and security. Many companies, especially in the medical field, are looking for ways to gather more personalized and private data to build large datasets, as this remains a major friction point. @flock_io is working in this area. 3. Privacy Privacy-focused projects offer privacy-preserving computations and data management solutions. Blind Computation: Blind computation uses techniques like Secure Multi-Party Computation (MPC), where multiple parties can collaboratively compute functions on their private inputs without revealing those inputs to each other. It’s more efficient than Fully Homomorphic Encryption because it allows multiple parties to prove or compute something, similar to how Zero Knowledge Proofs operate. @nillion is leading the charge and is currently my favorite branding in crypto. Fully Homomorphic Encryption (FHE): FHE is an encryption method that allows computations to be performed directly on encrypted data. The output of the computation remains encrypted and can only be decrypted by the data owner. A single party performs computations on encrypted data without ever needing to decrypt it. This is still largely in the research phase and isn’t expected to be viable for at least another two years. That’s why I’m counting on Blind Computation to have a faster go-to-market. @zama_fhe looks to be the leader in FHE right now. 4. Agents Agents in AI are autonomous software entities that can perceive their environment, make decisions, and perform actions to achieve goals, often interacting with other agents or systems in a decentralized network. Tooling & Infrastructure: Platforms like @AIWayfinder are building interesting omnichain tooling that enables user-owned autonomous AI agents to complete multi-step blockchain tasks through a chatGPT-like interface. This is done through "wayfinding paths" and is part of a continuously evolving ecosystem graph of smart contracts, allowing for cross-chain interoperability. Check out this video: nitter.app/templecrash/status/183… 5. Applications Applications need little introduction and come in all shapes and sizes. Time Series Models: @Dither_Solana is developing powerful AI time-series model using on-chain data. They’re currently building models for trading tail-end tokens like memecoins and could have a strong chance at finding product-market fit. Spatial Computing: Posemesh is a decentralized machine perception network and collaborative spatial computing protocol designed to allow digital devices to securely and privately exchange spatial data and computing power to form a shared understanding of the physical world. This ties into the VR/AGI narrative and could significantly contribute to building metaverses. @AukiNetwork is an interesting project working on this. 6. Compute Computational resources (hardware) are needed to process data and run algorithms. AI requires powerful hardware, like GPUs or TPUs, to train models and run tasks. This is where DePin ties into AI. Aggregated GPUs: Aggregated GPUs is a distributed network of individual GPUs working together to combine their computational power, enabling the execution of large-scale tasks like AI model training, data processing, or high-performance applications across multiple nodes in a decentralized or cloud-based system. @NetmindAi is working on this and has good mindshare on CT. Edge Compute: Edge computing refers to processing data closer to its source (such as on local devices or edge servers) rather than relying on a centralized data center. This reduces latency and bandwidth use while improving real-time decision-making capabilities. Data transportation is very expensive in large quantities, so this is a cost-effective alternative to centralized cloud services. @exolabs is building this. 7. Coordination Layers A coordination layer in decentralized networks is the framework that manages and organizes the interaction between different nodes or entities, ensuring tasks such as validation, consensus, and resource distribution are carried out smoothly and efficiently without a central authority—similar to how Ethereum operates. Agentic-Focused: This is a system in which autonomous agents play a central role in managing and organizing the network. In this context, "agentic" means that the system relies on independent agents (typically software agents) that can make decisions, coordinate actions, and interact with other agents or system components to achieve set outcomes. This is what everyone’s favorite AI project @opentensor is working on. AGI-Focused: Artificial General Intelligence (AGI) refers to a machine or system capable of performing any intellectual task that a human can, demonstrating a broad, human-like understanding across multiple domains without needing specific training for each task. AGI aims for a comprehensive level of intelligence, similar to how humans can learn and adapt across various tasks. @NEARProtocol is building their blockchain with this framework in mind. 8. Verifiable Compute & Oracles Verifiable compute is the process of executing computations off-chain and verifying their correctness on-chain, ensuring trust in the results, while oracles are systems that bring external data (such as AI computations or real-world information) into blockchain ecosystems, allowing smart contracts to interact with off-chain data securely. Infrastructure: @OraProtocol is a chain-agnostic infrastructure that bridges AI and blockchain by providing verifiable compute through decentralized AI oracles, enabling developers to integrate AI functionalities into smart contracts with the assurance of correctness and scalability in AI-driven applications. 9. Inference Networks Inference is the process in AI where a trained model applies what it has learned to new data, making predictions or decisions based on patterns identified during its training phase. Synthetic data can be used to train these models, helping them learn patterns in environments where real data is scarce. Once trained, the model uses this learning to make accurate inferences on new, real-world data. Infrastructure: Projects like @Ritual’s Infernet are getting a lot of attention. Infernet enables decentralized AI inference by allowing smart contracts to request off-chain computations from nodes running AI models, verify the computations on-chain, and facilitate payments for compute resources, creating a trustless execution layer for AI-native applications. Shoutout to @caseykcaruso for building this awesome dashboard which frequently updates with new AI projects. topology.vc/deai-map

The most exciting ICM/utility coin is very undervalued at these levels. Our industry's biggest ever ICO, largest revenue generating app and highest user count is about to show you the tip of the iceberg for its new direction. There’s one specific utility coin on their platform which has refused to die. One that's accumulated 6 months of survival where the core holders only get more bullish by the day. This is the first time since 3 mil mcap I’ve added to my position. - Amazon replacing over half a million workers with robots, pushing to automate 75% of it’s workforce - $VIRTUAL pivoting their entire platform to Robotics - x402 is unlocking how Agents will be able to interact with commerce; Operators are the next stage which will be able to freely roam the internet and carry out economic tasks, this sets the foundation to robotic/humanoid assistants as well (VLA's) This technology is going to be the single biggest economic shift we’ve ever had. AI hasn’t been able to progress because it’s stuck inside a window. It’s dealt with text strings its entire life, how is it meant to progress into human capability when it doesn’t have a physical body to experience our same depth of reality? Maybe the unlock to AGI isn’t better GPT models but a body for AI brains to develop "consciousness" in. AI didn’t make sense until devs had public tooling to build their own GPT models with personal context (Virtuals & ai16z/Eliza). Robotics doesn’t make sense as there’s no plug and play optionality for individual devs. Large teams have walled access to the best data, brains and hardware specs. What happens when someone creates the Eliza of Robotics? $CODEC coded.

How to go full time in web 3 by joining a team or starting a project ⬇️ 1/

Why you should work for your bags: 1. The bar for conviction is so low due to holding times. Everyone is terrified to believe in something, so when they see someone being vocal and crafting a good thesis while not abandoning the coin after a couple days, they’re heavily inclined to join. The higher quality the thesis + the higher consistency in posting = higher trust. Everyone runner has at least one die hard community member which gives their all for the project (murad, lexapro, Him, Unipcs etc) 2. Your impact becomes exponential. I rarely find coins on my own and discovering new narratives is usually from sleuthing through dozens to hundreds of small accounts, channels, gc’s etc. Countless times I’ve seen an account with sub 1k followers who’s posted a thesis on a new coin which I’ve ended up buying and sharing myself. You’d be surprised how much impact one post can have with the right messaging. 3. It’s the best way to grow your network and find similar style traders. If you’re trying to get added to new gc’s or find other friends, start posting more about the coins you're in and give insightful unique takes. I’ve made a ton of friends simply through bag working for the same coin. There’s nothing better than finding a core group of traders/writers to help grow a project, granted you’re ethical about it. 4. Bag working is +ev as a small account. If you’re just starting out, the best way to grow is to constantly dig for fresh coins and write narratives on them imo. When you eventually hit that 20, 50, 100x with a thesis attached, you’ll grow in reputation and hopefully portfolio. The art is not over sharing coins so people respect your conviction and know you aren’t looking for exit liquidity, while genuinely providing some form of insight. My biggest regrets always come from not writing more. You’d be surprised how much of an effect one persons conviction can have on others. It's never been easier to stand out, the quality of research, conviction, authenticity and dedication is at all time lows. Take a chance.

Have you heard of the sleeping giant on the most active chain that no one is talking about? Move over Perpetual DEX's, because this one is a game-changer. Let me introduce you to @Level__Finance, the largest real yield exchange on #BNB A 🧵... 1/24

The best edge you can have as a trader these days is thinking for yourself. AI has trained us to outsource thinking, causing generational brain rot. If you can break down a thesis step by step, without relying on a terminal spitting out pre ordained text strings, you’ll stay in the top 1%, as you aren’t letting your cognitive edge slowly erode. Right now, the real threat to society isn’t monetary inflation, it’s cognitive inflation. People are outsourcing their brainpower and worldview to ChatGPT, treating it as the source of truth. The discipline of forming your own conclusions through writing, analysis, and intuition is what will separate winners from the rest. It’s never been easier to stay passive and let information be spoon fed to you. Yes, the speed of AI will only accelerate. I’m not saying you shouldn’t use it, you should, because ignoring it will leave you behind. Although you need to spend part of your day reading deeply, contextualizing events, and translating them into your own words. Make a habit of high quality thinking. Otherwise, you’re just another hamster running on the wheel, reacting to the world flying past you.

@FactorDAO ($FCTR) MC: $8m FDV: $53m TVL: N/A Factor is a newly launched protocol which provides a unique strategy on tokenized baskets. The possibilities are endless with what you’re able to do. 3/

ICM’s success isn’t dependent on Launchcoin or any single platform. It’s a regime change from how we view utility projects onchain. We went from multi billion dollar launches to pumpfun due to insane mismatches in price and fundamentals. Now we’re shifting from vaporware to projects with real users, volume and revenue. Majority will give up right as we turn the corner of real adoption.

How to 10x your knowledge in web 3 and also life ⬇️ 1/

Why is @moonbirds_xyz so successful and how they will maintain their value 🧵 (1/29)

Robotics works quite similar to AI. You need lots of high quality data to operate, except you can’t just scrape the internet for robotics data since it needs real world experience and variables. There is no “Internet of robot actions.” Ton’s of teams are working and throwing stupid money into humanoids as they’re the most obvious deca trillion dollar industry due to how efficient they’ll turn the labour force (more efficient than an Indian average wage at $50k USD each). But the biggest race, like AI is: 1. Getting quality data 2. Training tasks Foundation models are like LLMs in AI, but instead of generating text, they generate actions for robots. There’s a couple different approaches teams are taking with task training, some using small high fidelity datasets with labelling like Figure and others are going for spray and pray with massive models. The goal is to give robots a broad, pre trained common sense and the ability to generalize across tasks and environments. Instead of programming a robot for each task, you train a giant model on diverse data (videos of humans, simulations, real robot demos, images with text descriptions of tasks etc), and the model learns an embodied understanding of the physical world. You can then prompt the robot to do something (through a command or example), and the foundation model’s “knowledge” kicks in to handle it, like how you can ask ChatGPT anything. So the big disconnect for a lot of these companies will be in the task training area, they’re currently deeply focused on the data side (world simulations, synthetic data, robot trajectories, human videos etc) as they need it to interact perfectly with the real world but there isn’t as much development with what the robots/humanoids can actually do. Nvidia is leading one of the key foundation models (Issac GR00T) which they’ve fully open sourced. They’ve already had 3rd party teams building on top of this and significantly improving the efficiently (basically created a program for humanoids to clean up a room with minimal changes to the foundation models data). So the big overlap with crypto x ai x robotics will mostly likely lie in this task training sector (like a robotics App Store) since the leading foundation models are already going open source and there will probably be large incentive models for indie developers to contribute and build cool programs/tasks for humanoids. There’s a lot of progression and mainstream development coming end of year/early next year where I think robotics will have its “chatgpt” moment (Elon hard shilling his new humanoid models, viral videos of humanoids doing real world tasks, intuitional money flowing in, workforces being laid off etc). I can promise you I’m not wrong on this idea, feels identical to AI in 2023. Matter of when, not if. Don’t ignore one of the most innovative technological progressions to happen in our lifetime and don’t ignore $CODEC which is the only available play sitting at the overlap of this trend.

It's quite clear that a new market structure is in place, even though it has many similarities to past cycles. The introduction of ETFs changes the demographic of who's now buying. With mechanisms like 401(k)s adding constant buy pressure without short sighted selling, it facilitates a constant bid. For those who have been around for a couple of cycles, you'll understand the exponential effect of FOMO when prices rise. The higher BTC climbs, the larger the capital allocations will become. This is going to send us into a perpetual state of institutions max bidding. Institutions with ETFs are currently fighting for market dominance, which means they are deploying large marketing campaigns and reducing fees for newcomers. Some speculate that most of the buying has already occurred, but the marketing budgets of these ETFs are likely less than 20% deployed. The potential downside of the market is reduced quite a lot due to the ETFs recently launching and managers trying to acquire more users. Tradfi might be boomers but they’re not silly enough to forget that price going up is the best form of marketing. Do you think BlackRock is going to risk losing potential new users and market dominance by letting BTC drop another 30%+? At some point, the invisible hand will step in to keep the dream alive. Don't underestimate the Fink's game plan. VCs will start reaching out to LPs and vice versa to raise billions in funds. So far, we've only seen those in the 9 figure range start to re-emerge. Narratives like AI/DePIN will be funded to infinity, drawing comparisons to decentralized ChatGPT. Real products have presented themselves, and it's exactly how my thesis for @pendle_fi a year ago has been projected. Institutions love yield and will find any possible way to maximize it, especially once the ETH ETF gets approved (with a high likelihood for May approval). Staking and passive income will become the narrative of DeFi with men in suits crawling for new ways to leverage up on up only assets. And it's almost as if everyone has forgotten about gaming. If you think gaming studios haven't noticed the green light from regulations and aren't going all in with Web3 integrations, then you're going to be experiencing FOMO quite hard in the coming months. All it takes is one announcement from a AAA game or Fortune 500 company about pivoting to the Metaverse/crypto, and it's lights on. @MaviaGame is best positioned for maximum attention capture. The super cycle is just a hop, skip, and a jump away.

Cross-chain protocols have single-handedly lost over $2.5 billion in hacks. Here’s how Omnichain’s are not only solving this, but liquidity fragmentation in DeFi as well. A 🧵... 1/22

Profit Taking Models Since we’ve recently gone through one of the worst liquidation in our industries history, I thought I’d share a couple profit taking models to try and help those making their comeback arc or looking to survive for longer. These will be off the basis of portfolio valuation and using 50k, 100k, 200k & 500k for easy maths. You can scale these numbers to whatever suits your personal circumstances and portfolio. Model #1: Withdrawing percentages at milestones (my favourite) Linear: 20% @ 50k = 10k 20% @ 100k = 20k 20% @ 200k = 40k 20% @ 500k = 100k Dynamic: 10% @ 50k = 5k 20% @ 100k = 20k 30% @ 200k = 60k 40% @ 500k = 200k Personally I prefer a more dynamic approach as in the early innings, capital is vital to your scaling and you don’t want to be pulling big chucks out early on if it’s not crucial for your lifestyle. The idea is to guarantee your future while getting there as fast as possible. Model #2: Twapping at milestones (weekly withdrawals) Linear: Port >50k = 2% withdrawal per week = 1000 per week >100k = 2% withdrawal per week = 2000 per week >200k = 2% withdrawal per week = 4000 per week >500k = 2% withdrawal per week = 10000 per week Dynamic: >50k = 1% withdrawal per week = 500 per week >100k = 2% withdrawal per week = 2000 per week >200k = 4% withdrawal per week = 8000 per week >500k = 8% withdrawal per week = 40000 per week Chances are if you’ve made a significant amount of money onchain, most of those gains would have been from one or a few high conviction trades in a short time span. For myself, this method feels too slow as when you reach large milestones they come and go very quick. You want to put money in the bank as soon as you reach them. If you don’t have a lot of responsibilities or family to take care of, something which I believe is critical to trade better is having 2 years of living expenses in the bank. When stabling, you should be very mindful of the percentages going to your bank and what's going back into shitcoins. Until you do that, I’d highly advise against buying new cars, watches or anything which would bring short term satisfaction that takes scaling power away from your port. I remember reading a tweet from jacknuked along the lines of “getting low to mid 6 figs is the most defining part of a traders career, why would you go blow half of it on a BMW M4?”. Which couldn’t be truer. 2 years living expenses seems like the perfect amount where you’re secure enough if shit hits the fan and gives you ample time to find a way to make it back. Peace of mind is and always should be #1 priority. I’ve been in the spot multiple times where I’ve had a few weeks rent to my name and trust me, it takes years off you. My worst nightmare is having to leave this space due to being zero’d out. Despite decreasing opportunities for some time now for onchain and alts, show up with high work ethic each day and eventually that one trade will fall on your lap.

@elliotrades just added $500k to the community DAO for @NeoTokyoCode. So far, all the work done inside the discord has been completely voluntary. Looking at what we've achieved so far, what do you think will happen when Citizen's are on payroll? Play ball.

Entangle's mission: make early supporters very happy + build cool shit

A short story of building a NFT or Crypto project Learnings from my own development, @neotokyonewstv, @elliotrades, @ZssBecker and the #Citizens 1/ ⬇️

Guess who's back Citizens?

I found the Axie Infinity of AI. And it’s on Solana. It’s called @synesis_one.

Our friends at Consensys seem to agree with this consensus.

OpenAI just confirmed my northern star thesis for AI today by releasing their operator agent. Not only was this my guiding thesis for $CODEC, but every other AI investment I made, including those from earlier in the year during AI mania. There’s been a lot of discussion with Codec in regards to Robotics, while that vertical will have its own narrative very soon, the underlying reason I was so bullish on Codec from day 1 is due to how its architecture powers operator agents. People still underestimate how much market share is at stake by building software that runs autonomously, outperforming human workers without the need for constant prompts or oversight. I’ve seen a lot of comparisons to $NUIT. Firstly I want to say I’m a big fan of what Nuit is building and wish nothing but for their success. If you type “nuit” into my telegram, you’ll see that back in April I said that if I had to hold one coin for multiple months it would have been Nuit due to my operator thesis. Nuit was the most promising operator project on paper, but after extensive research, I found their architecture lacked the depth needed to justify a major investment or putting my reputation behind it. With this in mind, I was already aware of the architectural gaps in existing operator agent teams and actively searching for a project that addressed them. Shortly after Codec appeared (thanks to @0xdetweiler insisting I look deeper into them) and this is the difference between the two: $CODEC vs $NUIT Codec’s architecture is built across three layers; Machine, System, and Intelligence, that separate infrastructure, environment interface, and AI logic. Each Operator agent in Codec runs in its own isolated VM or container, allowing near native performance and fault isolation. This layered design means components can scale or evolve independently without breaking the system. Nuit’s architecture takes a different path by being more monolithic. Their stack revolves around a specialized web browser agent that combines parsing, AI reasoning, and action. Meaning they deeply parse web pages into structured data for the AI to consume and relies on cloud processing for heavy AI tasks. Codec’s approach of embedding a lightweight Vision-Language-Action (VLA) model within each agent means it can run fully local. Which doesn’t require constant pinging back to the cloud for instructions, cutting out latency and avoiding dependency on uptime and bandwidth. Nuit’s agent processes tasks by first converting web pages into a semantic format and then using an LLM brain to figure out what to do, which improves over time with reinforcement learning. While effective for web automation, this flow depends on heavy cloud side AI processing and predefined page structures. Codec’s local device intelligence means decisions happen closer to the data, reducing overhead and making the system more stable to unexpected changes (no fragile scripts or DOM assumptions). Codec’s operators follow a continuous perceive–think–act loop. The machine layer streams the environment (e.g. a live app or robot feed) to the intelligence layer via the system layer’s optimized channels, giving the AI “eyes” on the current state. The agent’s VLA model then interprets the visuals and instructions together to decide on an action, which the System layer executes through keyboard/mouse events or robot control. This integrated loop means it adapts to live events, even if the UI shifts around, you won’t break the flow. To put all of this in a more simple analogy, think of Codec’s operators like a self sufficient employee who adapts to surprises on the job. Nuit’s agent is like an employee who needs to pause, describe the situation to a supervisor over the phone, and wait for instructions. Without going down too much of a technical rabbit hole, this should give you a high level idea on why I chose Codec as my primary bet on Operators. Yes Nuit has backing from YC, a stacked team and S tier github. Although Codec’s architecture has been built with horizontal scaling in mind, meaning you can deploy thousands of agents in parallel with zero shared memory or execution context between agents. Codec’s team isn’t your average devs either. Their VLA architecture opens a multitude of use cases which wasn’t possible with previous agent models due to seeing through pixels, not screenshots. I could go on but I’ll save that for future posts.

Why does Robotics need a token? The short (traders) answer: speculation. Take ai16z for example. Never even had token utility and it became the most used product because of the depth and plugins of its Eliza toolkit. I believe token utility isn't as important as building infra which is actually usable by outside devs. Eliza was the most used github repo at one point and had devs from all industries coming to test it. This should be the goal for anyone building in both AI and robotics. Speculation drove mania -> volatility due to the belief of future utility and demonstrated how impactful it is as a fundamental. Profitable traders understand the asymmetric value of this. We know token utility is beneficial, especially in the right circumstances though. Virtuals took a more crypto native flywheel approach to the launchpad framework, attaching all forms of commerce and distribution to their token. Virtuals and ai16z topped at $3 bil and $2.6 bil mcaps respectively. One housed the strongest flywheel we’ve seen since DeFi szn and the other a global framework which proved far more successful regarding developer usage and majority of teams building on Virtuals tooling eventually had to move over because they were being restricted so much. It is interesting watching $VIRTUAL lead the way for robotics atm, taking a standardized approach to incentivising data provisioning + funding new start ups. They introduced Unicorn, which is their new launchpad model. Replacing Virtuals older points system with direct token stakes and rewards. They’ve gone back to a more traditional launchpad route where each new Unicorn startup (a robotics project on Virtuals) starts at a low valuation and acts more like a bonding curve. The founding team’s funding is vested and only unlocked as the project grows, forcing builders to deliver results. They also launched SeeSaw, crowdsourcing rich spatial datasets (humans recording first person videos of tasks so robots can learn from real world experiences. Packaged as a fun mobile app that crowdsources human interaction videos to train AI and robot agents. This “middle way” focuses on cloud data infrastructure and funding. There’s no question that high quality real world data is crucial for embodied AI. Especially in the foundational phase, robotics benefits from large volumes of varied environmental input. Data like this is the fuel early models need to learn and generalize. Virtual's approach helps bootstrap this layer effectively and has its place in setting the floor for capabilities. But over time, this value plateaus. As more data protocols emerge, the volume of available real world data increases, while the number of end users who can meaningfully absorb and use this data doesn’t scale linearly. Which means the returns become more concentrated, mostly benefiting teams building large foundational models. These models will still matter and be profitable, but the edge starts to shift elsewhere. What starts to matter more is giving users the ability to collect and use their own custom data. Custom data pipelines are where I see more value accruing, tools that allow a store owner, a warehouse team, or a household to quickly gather and fine tune robots to their specific environments. That kind of data won’t be bundled in any dataset marketplace. As we’ve seen with LLM’s, most users don’t care about the training rituals behind GPT. They care about how to feed it their own docs. The long term opportunity is in making that collection and integration loop simple. While Virtuals is going for data (fuel for AI models) and a marketplace to fund and share in robot ventures, I believe the biggest impact will come from those who remove the most abstractions from complexities of robotics development. Hardware, software and data need a unified toolkit which gives individual devs a chance to experiment without needing to build a custom framework, which is what sparked AI szn this time last year. Data is important and real world data is significantly more important for robotics than AI, especially in the early innings to set the foundations. But I don’t believe this is where the biggest value layer occurs in the long term. What we need is better abstraction of tooling, giving developers faster iteration loops going from A -> B. Data is only one of the inputs in a very large hardware and software stack. Robotics is far too deep of a sector to throw a crypto incentive layer over and needs to be looked at from a holistic view. Data -> Perception -> Planning & Reasoning -> Control & Actuation -> Feedback Integration. Due to this depth, there won’t be any single crypto company which will build a monolithic stack covering each of these areas (full stack humanoid for example), if they were they would have raised 8/9 figs in web2 and wouldn’t bother with crypto. The most impactful token utility will come from supporting tooling that gives devs incentives to grow out an open source library of new plugins/attachments with flexibility. Something which rewards devs for contributing mapping software for specific motors, sensors, cameras etc, alongside leading foundational models that then plugs in to any robot. On top of this, whoever builds the most successful task marketplace will be akin to unlocking custom games on Roblox or Fortnite. Humanoids are still like toddlers, they need to be taught (tasks) which improve their feedback to environmental scenarios, slowly turning them into functioning adults. This won’t be possible without global coordination as there isn’t large amounts of quality real world data yet, and more importantly, tooling which can help abstract this entire iteration flow. Which is why I’m so bullish on $CODEC as it’s essentially creating a new robotics middleware from scratch, whereas Virtuals leverages existing AI models and focuses on aggregating resources around them. Codec’s architecture might enable faster iteration on actual robot tasks (since it provides a framework to quickly deploy and share new behaviors), whereas Virtuals architecture aims to accelerate the inputs and support for those tasks (data + funding). The core idea is to replace fragile, hard coded automation scripts with adaptive AI “Operators” which are very aligned with leading VLA architecture from companies like Deepmind etc. Finding a way to attach token utility (incentives for mapping and abstraction of iteration loops) is where we’ll see the biggest impact. The majority of robotic foundation models are already going open source and this isn’t a decentralized crypto pipe dream psyop we try to spin on other narratives. Hardest and most important part is acquiring real users/devs, then you add the flywheel on top to supercharge the ecosystem. Imagine if ai16z had Virtuals flywheel.

Charts trading like a small group of individuals on CT identified the only project building infrastructure for one of the strongest narratives of the next half decade.

Here's my weekly top 5 NFT projects by volume analysis/alpha doc. I'll try to keep these consistent every Monday and will always be looking for new features to add & improve the quality. May even start doing some spaces if people are interested. docs.google.com/document/d/1…

The obvious trade was the obvious trade. Turns out the project doing more revenue and buybacks than Hyperliquid at 10x lower valuations was a good buy. It’s clear Alon is going for the jugular on every vertical and the end goal looks to be turning Pump into the everything app. Memes + CTO’s Real products/businesses (creator fees) Streamers The CCM business model is much better than I initially thought. We’ve got the memes, infrastructure and now real businesses coming onchain. There’s enough stablecoins in our industry to send the total mcap 3x higher. All we’re missing is eyeballs and animal spirits. Streamers are and have been the hottest social trend for the last few years and they’re only growing. As more external viewers come onto the platform, each one serves as a potential conversion. And streamers are heavily inclined to move over as $1 mil in trading volume = $9k in fees if they’re to launch their own token. Compare this to how hard it is to get a $100 donation off someone on Twitch. If there’s ever been a time for onchain to have it’s moment, the next month or two couldn’t have a better backdrop.

This is going to become the most valuable $4 million in crypto