A new way to learn languages, powered by AI. We're hiring: speak.com/jobs
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Seeing millions of learners around the world use Speak to build fluency and confidence has been the most rewarding part of the journey.
Crossing $100M ARR is an exciting milestone and one step toward our goal of building the world’s best superhuman AI language tutor.
What's next? We’re deepening our push in the US, expanding into new languages and growing our enterprise arm. Join us, we're hiring!
forbes.com/sites/rashishriva…
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Happy Independence Day from Speak! If you're at #ACL2026, swing by our booth (Harbor Foyer Booth #4) to see what we're building, grab some swag and meet our eng/ML team.
We're hiring across our EPD team including: Voice ML engineers, Assessment ML engineers, AI Product engineers and Engineering Managers!
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Speak retweeted
Tool of The Day - Day 19
name - Speak
→ what it does
an AI language learning app built around helping people actually speak.
instead of focusing mostly on vocabulary, streaks, or passive lessons, @speak pushes users into real conversations from day one.
it combines ┐
- structured lessons
- AI tutoring
- speech recognition
- pronunciation feedback
- roleplay scenarios
- personalized practice
into one speaking-first system.
the goal of that system is to learn a language by using it.
→ why people care
a lot of people spend months or years learning languages and still freeze when it's time to talk.
they understand it in videos.
they know the grammar.
they recognize the words.
but can't make a conversation with it.
Speak removes that gap by creating low-pressure practice where people can talk repeatedly, make mistakes privately, and get immediate feedback.
so instead of waiting for a tutor or language partner, users can practice whenever they want.
→ how people actually use it
people usually open Speak for short daily sessions.
common usage ┐
- practicing English before interviews
- preparing for travel conversations
- improving pronunciation
- simulating real-world situations
- replacing expensive tutors
- building confidence before speaking with native speakers
- maintaining language habits
many users treat it like a daily gym session for speaking.
→ extra proof
- founded by Connor Zwick (@connorzwick) and @adhsu
- backed by OpenAI Startup Fund, Accel, Khosla Ventures, and other major investors
- crossed $100M+ ARR publicly in 2025
- reached 10M+ learners across 40+ countries
- users reportedly spoke over 1B sentences in 2024
- scaled from YC W17 into a unicorn-valued company
your browser makes money from your data, not you, here's a tool that changes that.
Tool of The Day - Day 18
name : 𝘔𝘺𝘯𝘦 𝘉𝘳𝘰𝘸𝘴𝘦𝘳
→ what it does
an AI-first browser and search project built around user ownership instead of advertiser incentives.
@mynebrowser combines ┐
- browsing
- search
- AI assistance
- local memory
- wallet functionality
- rewards
- agentic workflows
into one system.
its long-term vision is to let AI actively help with tasks like ┐
- booking travel
- shopping
- research
- managing calendars
- writing emails
- navigating the web
and it keeps your behavioral data local and under your control.
→ why people care
you pay for the internet with their data.
your searches, clicks, scrolls, and preferences generate enormous value for platforms and you rarely see any benefit.
AI increases that tradeoff because conversations reveal intent, context, and how people think.
Myne's idea is simple. if your data creates value, you should control it and participate in that value.
→ people that need it
- privacy-conscious users
- AI power users
- web3 users
- researchers
- founders
- students
- travelers
- indie hackers
- remote workers
- people tired of browser tracking
especially users who want AI assistance without handing over full behavioral profiles.
→ what problem it solves
- invisible profiling
- fragmented browser + AI workflows
- lack of user ownership
- centralized AI incentives
- hidden data monetization
- switching between assistants and browser tools
it aims to turn the browser into something that works for you instead of optimizing around advertisers.
→ how people actually use it
current usage is still mostly early community participation and testing.
projected workflows include ┐
- browsing with persistent AI context
- asking AI to complete multi-step tasks
- managing internet activity from one interface
- participating in reward systems
- shaping browser features through community feedback
the product is still early, so many use cases remain in active development.
→ why this tool stands out
most browsers compete on speed or privacy.
Myne is trying to compete on incentives.
its central idea is that browsers should become aligned systems where:
- data stays local
- participation is visible
- rewards are explicit
- AI serves users directly
it's one of the few projects approaching browsers as an economic and philosophical redesign rather than another browser skin.
→ best features
- local-first user memory
- agentic AI assistants
- proactive task execution
- integrated wallet
- user-owned data model
- explicit value exchange
- community-led access
→ best use case
perfect for ┐
- privacy-first browsing
- AI-assisted internet workflows
- early adopters
- users interested in ownership-based internet products
- people exploring alternatives to ad-funded ecosystems
→ extra proof
- manifesto published May 2026
- 30,000+ people on the waitlist
- community roles and ambassador program ongoing
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Such a pleasure hosting @youtubejocoding at our SF HQ for a behind-the-scenes office tour! If you see yourself working at an AI-native startup with some of the sharpest minds in ASR, come check us out 🤓
piped.video/oflXH0em4mo?si=eg3U…
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Great to have @MaxwellAbram drop into the Speak office to chat with @connorzwick and the team about what we're cooking up here at Speak! 🧑🍳🔥
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"If I wasn't sure AI was going to change how everyone works before I joined, I am now."
Our newest engineer's 90-day reflection on building @ Speak and what it's actually like when the whole company is AI-pilled!
If you're an AI-pilled operator/eng/GTM, check us out 🤓
speak.com/blog/90-days-at-sp…
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Great first-hand account on what it's like to build @ Speak as an AI-native PM!
If you're excited to do your life's work with a diverse, genuine, and fun team... slide into our Ashby 😉
speak.com/blog/notes-from-a-…
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Speak retweeted
when it comes to learning with ai, it's still 1995 and amazon is an online book store
impossible to comprehend how different humans will approach learning when superhuman tutors are abundant
Over the last 200 years, we've automated away a lot of hard physical labour. But people still go to the gym.
Indeed, many people today are more physically capable than people in the past. We can train systematically for whatever physical goal we want, and it's more fun than hard labour on a pre-modern farm.
@karpathy's hope is that, in the future, the same will be true of learning.
AI tutoring that's tailored to each person will make learning easy, and more people will want to do it. We will be able to go much further than our ancestors.
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Speak retweeted
Will be posting the best stuff live from the Cerebral Valley Voice Summit tomorrow at @NewcomerMedia
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🚀
Forbes’s AI 50 List highlights the world’s most promising privately-held AI companies, judged on commercial traction, technical talent, and how seriously they've embedded AI into what they build. @AnthropicAI, @cursor_ai, @cyera_io, @DecagonAI, @GammaApp, @WeAreLegora, @Lovable, @perplexity_ai, @speak, @SynthesiaIO, and @thinkymachines made the list. In what Forbes called a highly competitive field, this is a testament to these teams’ sharp ideas and real technical depth.
Read the full article: forbes.com/lists/ai50/
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Speak retweeted
Strongly agree with this K-shaped divergence happening on software teams. It's existentially urgent to move faster here than what many consider reasonable, because a decent-sized gap today will compound into an insurmountable chasm in output and execution speed and quality by the fall.
This means your team must simultaneously buy into the vision of what is possible and will be possible soon, while also being in the trenches on a daily basis wrestling with and steering agentic systems that still often make mistakes, overcomplicate things, and don't always do what the user is envisioning. Navigating this takes strong, continuous leadership that's also in the trenches.
We're doing a lot at Speak to stay on the cutting edge here as a team - a few examples:
- Continually thinking about what we're still doing manually and following that signal to agentify our repos and processes
- Retooling our engineering hiring process to explicitly test for agentic engineering skill and mindset
- Explicitly trying to build production features while keeping manual code as close to 0% as possible
If you're working at a company that isn't all-in, you should leave before it's too late. Accelerate!
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