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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A great AI tutor knows when to let you think. We saw almost 80% fewer interruptions during learner thinking pauses with GPT-Live-1.
Sometimes the biggest leap in voice AI is giving someone space to finish a sentence.
More from our co-founder & CTO @adhsu ⬇️
@speak, we've been working closely with OpenAI on GPT-Live-1 for the past few months, building with an entirely new class of voice model model that continuously listens and speaks at the same time. Here's some of what we learned.
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Speak retweeted
@speak, we've been working closely with OpenAI on GPT-Live-1 for the past few months, building with an entirely new class of voice model model that continuously listens and speaks at the same time. Here's some of what we learned.
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Introducing Live Tutor Lessons, powered by @OpenAI GPT‑Live-1: Interactive language lessons with a tutor that get you talking, listens in real time, and helps you find your words. Jump in with a question anytime.
Limited rollout for English and Spanish learners. See it in action ⬇️
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Speak retweeted
Congrats to the @indent team and @sthupukari on launching! We've been using Indent for well over a year now @speak and it's organically become one of our few internal agents adopted by almost the entire team, and it helps us make more data-driven decisions daily. I've been really impressed with the significant progress they've made on a lot of the nitty gritty hard parts of enterprise agent uptake including auth/IAM and team memory and context. Onwards!
Introducing @indent, one coworker for your whole company
Indent is a single agent that is built to work with every member of your team, simultaneously. Instead of every one setting up their own agents, use Indent to build one together.
Try it at indent.com
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Speak retweeted
Amazing technical writeup worth reading in full - kudos to the gpt-live team on this work! It's clear that full duplex/bidi is the future of voice and it's really cool to peek under the hood at the complex systems engineering that makes it all "just work". Some observations/notes for voice agent builders:
- The whole post is a huge flex, but especially turning the “improve startup latency” ticket into a new webrtc handshake protocol. Generational scope creep. @juberti what was the original estimate on that issue? :)
- The voice must flow. Nothing matters but continuous realtime audio flow and smoothness. Be extremely clear in your voice agent’s system design about division of responsibilities between the realtime band and async channels/sidecars, and treat the async RPC boundary as a first-class conversational & UX design principle.
- Many other details are direct consequences of optimizing for voice fluidity: prompt caching and avoiding audio-blocking prefills, live context compaction with blue-green-style cutovers, smoothly handling long-running voice sessions (that are much longer than gpt-live’s context window)
- Future models and versions of gpt-live will continue to become more intelligent and handle more tasks natively in the realtime band. As inference speed improves, the model will also be able to spend more tokens thinking and delegating within the realtime response latency budget. This means both the actual delegation and “perceived delegation” boundary will push out.
- Interesting details on the turn-transcript heuristics, e.g. “we prioritize coherence in the displayed assistant responses even when the user speaks in the middle.” The full bidirectional/duplex model arch breaks free of modeling the convo as a traditional ordered list of chat messages, but heuristic/projected semantic turn messages are still critical for most voice agent harness systems you’d want to build around the core live model.
- Realtime full-duplex sessions load your voice agent application server’s CPU (stream handlers, queues, network paths) more heavily than almost any other ordinary application type. Think about the fact that each full-duplex session processes ~100 audio frames per second across both directions. This is a very nontrivial driver of higher infra/capacity costs when scaling realtime voice experiences.
- The bar has been set extremely high for long-running voice agent infra providers, with a lot of additional complexity to support very smooth realtime voice model inference with an explicit temporal dimension. It’ll be interesting to see the industry patterns that emerge here.
Just posted our technical deep dive on the GPT-Live system, by @zahanm and yours truly.
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"The success of my [agentic influencer management dashboard] changed my career — I went from a marketer who manages a process to one who builds the systems that run it."
Naoki, Speak's Influencer Marketing Manager, shares his learnings on how non-eng roles can leverage agentic tools to stand out in their roles!
speak.com/blog/what-i-learne…
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Thank you to everyone who stopped by our booth last week at #ACL2026! We loved meeting with thought leaders at the intersection of ASR, LLMs, and NLPs.
The conference was full of thoughtful conversation, boundless coffee, and invigorating sessions on some of the latest challenges we're tackling in modern ASR for pronunciation training.
If solving problems at the intersection of Voice/ASR, LLMs and EdTech is interesting, come join us!
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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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