Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo

most people overlook the fact that mark zuckerberg dropped out of harvard not some random uni

Starting a group chat for people who want to build AI agents stuff we’ll share: - ai agent ideas - best frameworks and tools - how to launch & get users reply if you wanna join

in 2025, a solo founder can: - build ai apps (cursor) - do market research (okara) - automate workflows (zapier, make) - grow an audience (x, tiktok, linkedin) - run email campaigns (beehiv, substack) - accept payments globally (stripe, paypal) - find and email leads at scale (apollo, clay) - track key metrics (google analytics, hotjar) this is the biggest shift since the rise of the internet.

Grok 4 is basically AGI > 87% on GPQA → best in class > 45% on HLE → 2× gemini 2.5 pro > new SOTA on ARC AGI → 2x claude opus 4 holy shit, xAI cooked 🔥

this is all you need to become a software engineer in 2026:

AI Agents explained like you're five

for every closed model, there's an open source alternative sonnet 4.5 → glm 4.6 / minimax m2 grok code fast → gpt-oss 120b / qwen 3 coder gpt 5 → kimi k2 / kimi k2 thinking gemini 2.5 flash → qwen 2.5 image gemini 2.5 pro → qwen3-235-a22b sonnet 4 → qwen 3 coder

old startup playbook: – apply to yc – move to sf – raise $2m – hire engineers – spend 6 months building - launch with a techcrunch post new startup playbook: – think of a useful ai use case – build an app solo using ai tools - post on x, reddit, tiktok, instagram - go viral via memes, demos, and ugc - launch multiple apps and see what works

if you're bored, you can always: - build your own finance bot - build your own ai cofounder - build your own fitness coach - build your own legal assistant - build your own support agent - build your own research agent - build your own startup advisor - build your own writing assistant - build your own book summarizer - build your own video script writer - build your own investor pitch writer

bullish on solo founders - @carrd $2m arr - @Levelsio $3m arr - @yongfook $1m arr - @johnrushx $1m arr - @iangcarroll $8m arr - @joshmohrer $4m arr - @thedankoe $2.5m arr - @marclou $2m arr - @BrettFromDJ $1.8m arr - @dannypostma $3m arr - @thejustinwelsh $1.5m arr

This is literally the best time ever to build an AI agent Here are 20 AI Agent ideas that could make $10k-$1M/ month 🧵

your favorite open-source ai lab, and why?

deepseek is a side project. based 🫡

China saved open-source LLMs. In the past few months, China has released some of the best open-source models (GLM 4.6, Kimi K2, DeepSeek v3.2, Minimax M2) for free. Meanwhile: - OpenAI hasn't released any open-source model since GPT-OSS - Meta is struggling to keep up with China’s open-source progress - Anthropic has no plans to release open-source models The future of open-source AI is being built in China.

I spent hours analyzing v0’s 2000+ line system prompt. It's one of the best examples of prompt engineering I've seen Let me break it down 🧵

sir deepseek dropped a new paper

Want to become an AI Agent Developer in 2025? Here’s a roadmap to get started: |── Step 1: Basics of AI Agents | ├── Basics of LLMs and AI agents | ├── Learn Prompt Engineering | └── RAG Essentials | |── Step 2: Build your first AI Agent | ├── Choose a use case (e.g., customer support, research assistant) | ├── Use buildthatidea.com to create an AI agent in 60 seconds | ├── Test, refine, and improve based on feedback | └── Deploy and share with real users | |── Step 3: Scale & Monetize | ├── Offer AI agent development as a freelance service | ├── Build and launch AI-powered SaaS products | ├── Promote your AI agent (Product Hunt, X) | └── Partner with businesses to integrate AI solutions | |── Step 4: Stay updated & Iterate | ├── Engage in no-code and AI communities | ├── Participate in AI hackathons and challenges | ├── Keep testing new AI tools | ├── Share insights through blogs, LinkedIn, and X | └── Stay curious, experiment, and build 🚀

Kimi K2 Thinking is basically a scaled DeepSeek R1 but with: - 2× longer context - 2× fewer attention heads - 1.5× more experts per moe layer - Bigger vocab - Fewer dense blocks - 5B fewer active params per token Source: @rasbt

AI agents are a multi-trillion dollar opportunity Anyone can make $10k/mo by building AI agents Here's the playbook for building and launching your own AI agent business 🧵

“it's just a wrapper” openai is an nvidia wrapper valued at $300 billion nvidia is a tsmc wrapper valued at $2.5 trillion tsmc is an asml wrapper valued at $810 billion cursor is a claude wrapper valued at $10 billion perplexity is a chatgpt wrapper valued at $9 billion

How to become a 𝘽𝙡𝙤𝙘𝙠𝙘𝙝𝙖𝙞𝙣 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙚𝙧 A detailed Roadmap

starting a group chat for folks building (or planning to build) on Build That Idea stuff we’ll share: - ai app ideas - how to launch and get users - pricing and monetization tips you'll also get feedback, support, and accountability from other builders reply if you wanna join

Big News: We’ve removed all closed models from Okara. Starting today, Okara runs only open-source models. Here’s why 👇

Major open source wins this year: - DeepSeek cracked cheap long context for LLMs - Qwen dropped the best vision model in the world - Llama 4 Scout arrived with a 10M context window - Minimax M2 delivered sonnet 4.5-level performance at 8% of its price - GLM 4.6 brought a 200k token context window and performs with Sonnet 4 - Kimi k2 thinking outperformed GPT-5 and Claude 4.5 Sonnet on several benchmarks while being 10x cheaper than GPT-5 and 20x cheaper than Sonnet 4.5 The gap between closed and open-source AI is closing fast.

someone leaked the full system prompts from top ai tools like devin, cursor, replit, lovable, windsurf and more 🤯 i went through all of them here's what I found:

Building AI agents is the hottest new side hustle. People are making $10k/month selling AI agents. Here’s the playbook to launch your own AI agent 🧵

if you’re seeing this, you are extremely early. Build That Idea is launching soon. any interaction will be considered for early access.

Introducing Build That Idea A platform that lets anyone launch their own AI agent in 60 seconds - Define your Agent - Choose a base LLM (OpenAI, Claude, DeepSeek, etc.) - Upload knowledge base - Set pricing and start making money Join the waitlist below

sir deepseek just posted a tweet

Closed AI models no longer have an edge. There’s a free/cheaper open-source alternative for every one of them now.

"i don't know what to build" okay... here are 50 ideas you can build right now:

Introducing Build That Idea A no-code platform to launch and monetize custom AI agents in 60 seconds Available to everyone for free

here's how to get your first 100 customers using reddit: > go to okara.ai > select the reddit tool > ask it to find posts where people are frustrated with competitors > it'll pull up the most relevant posts > drop a helpful comment mentioning your product

tips for people building ai apps: - launch early - do things that don't scale - build for a specific use-case - use established auth libraries - set up ddos protection via cdn - ask llms to write your prompts - use https everywhere, no excuses - get ui ideas from mobbin, cosmos - never put api keys in your frontend - implement rate limits on endpoints - test outputs for data leaks before launch - study top apps on sensortower, indie hacker - validate everything that comes from the user - make your app easy to try and easier to share - avoid storing any sensitive stuff in the browser - share updates on x, reddit, hn to get early users

This is literally the best time ever to be a solo founder. With AI, anyone can build a one-person business from scratch. Here's how to do it 🧵

Hello Metaschool community, We’re excited and thrilled to partner with @Coredao_Org, a Bitcoin-powered, Bitcoin-aligned, EVM-compatible layer one blockchain.🔥 Core boasts a massive community of 2.55M members online, 246M+ transactions and 5M active wallets. With this partnership, we are rolling out 5 developer-friendly courses, designed by experts, to teach you how to build on the Core blockchain. For updates on course launches, stay tuned to this space. WAGMI 🔮

I turned the hero section of top AI products into Studio Ghibli style 1/ v0

The only stack you need to build a one-person business 1. Okara – brainstorm ideas, design logos and create marketing strategies 2. Cursor - generate code w AI 3. Mobbin - get design inspiration 4. v0 - design clean frontends 5. Vercel - deploy and host projects easily 6. Supabase - manage database, auth and storage 7. Stripe – get paid instantly 8. X / TikTok / Reddit – drive traffic and get users

our top open-source models for various use cases: > writing - kimi k2, kimi k2 thinking > coding - glm 4.6, minimax m2, kimi k2 thinking > image editing - qwen-image-edit-2509 > vision - qwen 3-vl > cheap coding - qwen 3 coder > long context - deepseek v3.2, kimi k2 > research - deepseek r1, qwen 3-235b-a22b > general purpose - gpt-oss-120b, qwen 3-235b-a22b

pre ai vs. post ai learn to code → learn to prompt ship saas → launch agents vc backed → fully bootstrapped hire a team → build it solo focus on product → focus on distribution

in 2025, one person can: - build apps (build that idea) - run operations (zapier, notion) - close deals (apollo, outreach) - design images (4o image gen, canva) - run email campaigns (beehiv, substack) - generate content ideas (chatgpt, claude) - launch apps (product hunt, reddit, x, tiktok) you don't need a big team anymore. you need unique insights, good taste, distribution, and courage to ship

this is literally your startup team now writer -> claude designer -> chatgpt operations -> zapier project manager -> notion developer -> build that idea

Everyone wants to build an AI agent right now But most people don't know what to build Here are 10 ways to find profitable ideas 🧵

"it's just a wrapper" tsmc is an asml wrapper valued at $1.1 trillion nvidia is a tsmc wrapper valued at $3.48 trillion cursor is a vs code wrapper valued at $10 billion openai is an nvidia wrapper valued at $300 billion perplexity is a chatgpt wrapper valued at $14 billion

meanwhile apple:

We had the OG DevRels in our panel discussing opportunities in web3, how to become a DevRel and how to find your next big gig. Super thankful to all of them for showing up for web3 despite the storm in Dubai. Yalla, Wagmi. @yashovardhan @RumeelHussain @BRSHarish @audaciousSneha @Rahatcodes

Drop what you’re doing, Devs! We’ve news! @RumeelHussain, Contributor at @Coredao_Org, is joining us for Testnet Dubai 🇦🇪 I Metaschool Mini Dev Summit on April 16th. Hussain will be leading an interactive AMA session alongside top-tier DevRels! Got any questions about the Web3 space, DevRel relations, etc? Don’t miss out on this one! Register now if you haven’t already: bit.ly/testnet-dubai-t WAGMI 🔮 #TOKEN2049 #token2049dubai

Learning Web3? We want to connect with you! Say Hi 👋🏼

> if you're in saas, pivot to ai > if you're running paid ads, try ugc > if you're an idea guy, start vibe coding > if you're building in stealth, build in public > if you've built an audience, launch an ai app > if you're building features, focus on distribution

Every solo founder has: – 10 domain names – 3 unfinished side projects – 99 open tabs – a dream of hitting $10k mrr

building an ai agent in 2025? here's the stack you need to know: 1. memory: - stores and retrieves past conversations, context, and long-term knowledge - popular services include zepai, mem0, cognee 2. no-code/low-code tools: - lets you build agents without writing code - popular platforms include build that idea, flowise, n8n, gumloop, voiceflow, make 3. tool libraries: - give agents the ability to search, browse, code, or perform actions on the internet - popular libraries include exa, composio, browserbase 4. observability: - tracks, monitors, and debugs agent behavior in real time - popular platforms include langsmith, agentops, langfuse, braintrust 5. agent orchestration: - manages workflows, multi-agent coordination, and complex task execution - popular frameworks include langchain, ag, crew ai, llamaindex, oai 6. foundational models: - llms that power reasoning, generation, and understanding - popular models include openai, deepseek, gemini, qwen, anthropic, mistral 7. agent frameworks: - provide the logic and building blocks for creating autonomous agents - popular frameworks include phidata, letta, langgraph, llamaindex, crewai, autogen, autogpt 8. storage: - handles vector embeddings, structured data, or file management - popular databases include chroma, weaviate, supabase, neon, pinecone 9. infra/base: - supports deployment, scaling, and containerization of agent systems - popular infrastructure includes docker, kubernetes, auto scale vms 10. gpu/cpu providers: - offer compute power for training and running models - leading providers include azure, aws, groq, lambda, runpod, nvidia what did we miss?

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China won. This is another deepseek moment Kimi K2 Thinking is now the best open-source thinking model. > 256K context window > Executes 200 – 300 sequential tool calls > SOTA on HLE (44.9%) and BrowseComp (60.2%) > 10x cheaper than GPT-5 and 20x cheaper than Sonnet 4.5 Coming soon on okara.ai

openai dropped a banger guide on building ai agents it's a must read for anyone exploring or building ai agents here's a simple breakdown 🧵

7 steps to launch your own vibe business (from scratch):

Buidl

The GOAT is back

3/ Lovable

Want to build at the intersection of #AI + #Web3 and win $100K Airdrop? Join us in this free Metaschool workshop, learn to build on @wardenprotocol, participate in quests, and win Aridrop🔥 Register now, limited seats: lu.ma/warden-protocol-airdro…

twitter rn

people pay to solve the same old problems. if your agent helps them: – land a job – sleep better – eat healthier – manage stress – stick to workouts – grow their business – improve relationships – become more productive they'll pay. ship it

A public apology from Okara

Everyone’s talking about AI agents. But how do you actually build one? These 5 frameworks will get you started: 1. CrewAI → Build AI agents that collaborate and work as a team to complete complex tasks. (eg: landing page generator, trip planner, stock analysis) 2. AutoGen → create AI agents that work autonomously or alongside humans to automate workflows. (eg: automated code generation/ debugging, research assistants) 3. LangChain → Build AI agents with tools, memory, and workflow orchestration. (eg: context-aware chatbots, agents with long-term memory, deep research agents) 4. OpenAI Swarm → A lightweight and scalable framework for coordinating multiple AI agents efficiently. (eg: personal shopping agent, customer service bot etc) 5. LlamaIndex → Connect AI agents to your own data for better retrieval, reasoning, and responses. (eg: sales outreach agents, YT research agent) What other frameworks are you using?

we're creating a group for engineers & ctos who are building in ai/ml and/or looking for opportunities. comment below and I’ll add you!

one-person startups are the future - no employees - zero meetings - 100% ownership - work from anywhere - automate everything - build once, sell forever - low cost, high margins - launch multiple ai apps - ship in days, not months - build in public to get users

RAG explained in simple terms

Built an AI agent but no one's using it? Here are 15 ways to get your first 1,000 users 👇

the fastest way to build ai apps: - find a problem people already pay for (browse indie hackers, sensor tower, reddit, app store, product hunt) - create a logo w/ 4o image gen - write a system prompt w/ claude - build a knowledge base - ship v1 using build that idea - post a demo on x, reddit, and niche communities - get feedback, refine, and grow

a simple framework to come up with ai app ideas: 1. pick a job title (e.g. teacher, youtuber, founder) 2. list their most repetitive tasks 3. identify decisions they make frequently 4. note what they google or search for often 5. ask what they'd gladly outsource if they could 6. choose one pain point ai can solve well 7. build the app with build that idea

Old playbook: – 50+ employees – Raise $10M - Burn $300K/month - Spend months on mvp New playbook: – Solo founder – 10+ Agents – Bootstrapped - Ship in days – Profitable from day one

“your startup is just a wrapper” openai is an nvidia wrapper valued at $500 billion nvidia is a tsmc wrapper valued at $4 trillion tsmc is an asml wrapper valued at $2 trillion asml is a sand wrapper valued at $400 billion

sir mistral is so back

my top ai models for various use cases > o1 for reasoning > elevenlabs for audio > grok for real time search > sonnet for coding and writing > gpt 4o for images and quick queries > gemini 2.5 pro for long pdfs summaries > openai deep research for research tasks

10 ways to find ai app ideas 1. solve your own pain - build a tool that saves you time, effort, or money. if it helps you, it’ll likely help others. 2. reverse-engineer what’s already working - use tools like similarweb, product hunt, sensor tower, indie hackers to spot apps with good traction. then build a faster, cheaper or niche version 3. observe what people outsource - look at tasks posted on fiverr, upwork, linkedin or job boards. if someone is hiring for it, you might be able to build an ai assistant to do it. 4. piggyback on trends - track what’s hot / trending (e.g. ghibli image trend, weight loss, dating) and build ai tools that ride the wave 5. lurk in forums where people complain - scroll through reddit, slack groups, discord servers, x communities. search for posts like “is there a tool for...” or “i wish something could just…” 6. look for services that charge high hourly rates - lawyers, consultants, coaches, therapists. if someone charges $100–$500/hour for advice or analysis, there’s usually a way to offer the first draft or version of that service using ai 7. steal from offline businesses - observe what local service providers do manually (real estate agents, insurance brokers, tutors, career coaches) and find a way to automate it with ai 8. repackage expert knowledge - find books, youtube channels, or podcasts where experts share niche knowledge. turn that content into a gpt-based advisor for that niche (e.g. a chatbot trained on "the lean startup" or "naval's tweets") 9. repurpose your own knowledge or content - turn your notes, blog posts, videos, or past work into a chatbot. if you've specific knowledge, people will pay for it 10. analyze reviews - scrape app store, g2 or appstore reviews of popular tools. look for recurring complaints or feature requests then build an ai tool that solves that problem.

Fill this form form once you’re done: forms.gle/RdbxB4Yj3uw3Bi836 LinkedIn: linkedin.com/company/0xmetas…

stuck on what to build? start with problems people always care about: – staying fit – looking good – making money – learning faster – sleeping better – being productive then ask: “how can ai help them achieve that 10x faster, cheaper, or with less effort?” that’s how you find ideas worth building.

the future of building ai apps: - ship in hours not months - growth via tiktok, x, reddit - ai agents as teammates - built on top of ai models - taste is the differentiator - multiple revenue streams - build in public from day one - 10x leverage through automation - built by solo builders or small teams - marketed through demos, not decks - distribution comes from creator collabs - viral growth loops baked into the product - focus on three ds: data, distribution and design

if you can like this, you're officially early.

MCP explained in simple terms

one-person businesses are the future - no employees - zero meetings - 100% ownership - work from anywhere - everything automated - build once, sell forever - low cost, high margins - launch multiple ai apps - ship in days, not months - build in public to get users

Win a share of $500 USDC prize pot! 💰 We're selecting 100 lucky followers to win. Here's how: Follow us on Twitter & LinkedIn, like, and retweet this post. Lastly, fill out the form given in the second tweet.

if you don't know what ai app to build, start with: – a tool you wish existed – a workflow you can automate – an insight from a niche community – a validated idea from startup forums – a question people keep asking online – a task people outsource on fiverr or upwork – a growing trend where no good tool exists yet – a repetitive service businesses still do manually – a problem your friends keep complaining about – an idea already working in another niche (same use case, new audience)

my top ai models for various use cases > o3 for math > elevenlabs for audio > kling and veo for video > grok for real time search > sonnet and gemini for coding > gpt 4o for images and quick queries > gemini 2.5 pro for long pdfs summaries > openai deep research for research tasks

Sending out more invites for Build That Idea today. Drop a reply if you want an invite 👀

if you're bored, you can always: - build your own finance bot - build your own ai cofounder - build your own fitness coach - build your own legal assistant - build your own support agent - build your own research agent - build your own startup advisor - build your own writing assistant - build your own book summarizer - build your own video script writer - build your own investor pitch writer

Build That Idea is for educators Build That Idea is for vibe coders Build That Idea is for consultants Build That Idea is for solopreneurs Build That Idea is for marketers Build That Idea is for founders Build That Idea is for creators Build That Idea is for anyone with an idea

openai just dropped image gen api if you’ve ever wanted to build your own ai app, now's the time here are 10 ideas that could make you money 🧵

the fastest way to build profitable ai apps: - find a problem people already pay for (browse indie hackers, sensor tower, reddit, product hunt) - build a knowledge base and write a system prompt - ship v1 using build that idea - post a demo on x, reddit, and niche communities - get feedback, improve the prompt, repeat

old startup playbook: – apply to yc – hire engineers – spend 6 months building v1 – beg techcrunch for coverage new startup playbook: – go direct – build an ai app solo – go viral with memes, demos, and ugc – launch 3 apps, double down on what works

50 AI startup ideas you can build on Build That Idea Full list below 👇

there are only a handful of problems humans consistently spend money on. if your agent helps them: – land a job – get in shape – find a partner – manage stress – be more productive – grow their business – learn a high-income skill they'll pay for it. just ship it

pre ai vs. post ai traditional coding → vibe coding large teams → solo founders vc backed → fully bootstrapped saas startups → wrappers and agents focus on product → focus on distribution what else?

how to build a $10k mrr ai app: 1. find validated ideas 2. collect knowledge (pdfs, blogs etc) 3. build an mvp using build that idea 4. record a demo using screen studio 5. post product demos on x/tiktok/linkedin 6. promote in niche communities + subreddits 7. collaborate with micro-creators (ugc > ads) 8. launch on relevant directories (product hunt etc) 9. improve based on conversations and feedback. 10. reinvest profits into the distribution channels that convert best

Feb 2025: vibe coding Mar 2025: vibe marketing Apr 2025: vibe business

For every like on this tweet, I'll share an AI app idea you can build on Build That Idea

in 2025, a solo founder can: - build & sell ai apps (build that idea) - automate workflows (zapier, make) - grow an audience (x, tiktok, linkedin) - run email campaigns (beehiv, substack) - design beautiful assets (4o, midjourney) - do market research (chatgpt, perplexity) - accept payments globally (stripe, paypal) - find and email leads at scale (apollo, clay) - track key metrics (google analytics, hotjar) this is the biggest shift since the rise of the internet.

This is the best time in history to launch a solo business You don’t need funding, a team, or technical skills Here’s how to do it 🧵

What solo founders think they need: - LLC - brand kit - SEO strategy - press coverage - cool landing page - long-term product roadmap What they actually need: - real users - working MVP - clear value prop - fast iteration cycles - distribution channels that work

sir china dropped another AI model