Speak

A new way to learn languages, powered by AI. We're hiring:

[Speak @speak]

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!

https://t.co/4tLshWo1Kc

[Speak @speak]

When a learner gets stuck mid-sentence, a hint needs to arrive while it can still help.

In our testing, Decisions API cut GPT-Live’s time to next action from 1.4s to 0.13s. That brings us closer to a tutor that adapts at the pace of the conversation.

More on what we learned below ⬇️

[Andrew Hsu @adhsu]

https://t.co/GH9LCjpsuz

[Connor Zwick @connorzwick]

Rolling out our AI Tutor Call feature today for Spanish learners. Check it out!

In our initial market Korea learning languages over the phone is very common and this feature is designed to bring that same form factor to everyone at a fraction of the cost or inconvenience.

On the surface, this might feel like just another AI chatbot. The more interesting story is the harness under the hood.

To get this to feel better than just talking to ChatGPT, we needed to solve bilingual speech, ability to drive real teaching moments in a structured manner, a specially trained turn taking model, and a supervisor agent to ensure we're giving the right level of corrections.

This is part of a much wider rearchitecture currently under way at @speak and I'm excited for what we'll be launching over next few months!

[Android Authority @AndroidAuth]

Speak is getting an interactive new way to practice your language skills https://t.co/3gAuwBHewm

[Speak @speak]

Introducing AI Tutor Call. Personal language tutoring, one tap away.

Talk about any topic. Get help in your native language when you’re stuck, with live feedback as you go.

Live today for English and Spanish learners, with more languages coming soon. Your tutor is in your practice tab. Give them a call. 📞

[Connor Zwick @connorzwick]

It's clear to anyone in harness land that there's going to be 6-12 domain specific harnesses that become dominant at the application layer.

One for each major domain and category of human behavior.

If models are intelligence, harnesses are the digital bodies that perform the actually useful work. But in the real world, that work can be extremely different across domains and require fundamentally different "bodies" to be successful.

At @speak, for example, we're building what we think of as the world's best teaching harness: specialized skills for curriculum planning and feedback, a huge swath of tools for interactive lessons, longitudinal learner memory, and validated proficiency assessment backed by 3rd party studies.

These tools mean that we build trust that we'll actually help you achieve your goal in the long run and our system is accountable for it.

[Connor Zwick @connorzwick]

If I had to bet on the shape of AI at the application layer in a few years

I'd guess there will be ~5 distinct harness categories that reshape the world

And a tutor harness will be one of them

If you want to work on those class of problems check out @speak

[Andrew Hsu @adhsu]

Come build a superhuman tutoring agent with me @speak

[Ben Lang @benln]

45+ startups hiring in this thread:

1. @turbopuffer - remote, NYC, Sf
2. @convex - SF
3. @fal - SF / remote
4. @firecrawl - SF / remote
5. @attio - SF, NYC, London + remote
6. @Linear - North America & EU remote
7. @warpdotco - NYC
8. @speak - SF / Seoul / Tokyo
9. @BrightHarborCo - Austin
10. @Vizcom - SF & US remote
11. @PostHog - NA + EMEA
12. @sievedata - SF
13. @artie_labs - SF & remote
14. @concurrencehq - NYC / SF
15. @spacexai - global
16. @EnclaveAI - NYC, SF, TLV
17. @tweetsbyport - US, TLV
18. @RevelHQ - LA / SF / NYC
19. @SnorkelAI - SF & NYC
20. @neatlogs - remote
21. @BabaHQ - NYC
22. Tremendous - remote (Americas)
23. @nucleussec - Florida / fully remote
24. Searchable - London / Salt Lake City
25. @flytbase - Pune, India
26. Indices - London / SF
27. Duna - across Europe
28. @aiunderwriting - San Francisco
29. @zenml_io - SF
30. @nexcade_ai - London
31. Social Fetch - remote
32. @gumloop - SF + Vancouver
33. @LulaConvenience - US remote
34. CLAR AI - Munich
35. @valkai - NYC / SF
36. @KeycardAI - SF
37. Latent Defense - NY
38. @DataUAcademy - Southeast Asia + global
39. @Nooqbook - remote
40. @saasflashstudio - remote
41. @SkydioHQ - US
42. @NotionHQ - global
43. @Replit - global
44. @forus - NYC
45. @harmonic_ai - NYC

[Speak @speak]

@benln 👋🏼 SF / Seoul / Tokyo https://t.co/8fl3XSrdwu

[Speak @speak]

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 ⬇️

[Andrew Hsu @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. https://t.co/KInfDeuRUZ

[Andrew Hsu @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. https://t.co/KInfDeuRUZ

[Speak @speak]

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 ⬇️

[Andrew Hsu @adhsu]

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!

[Speak @speak]

@bernardgolden Love to hear it!!

[Andrew Hsu @adhsu]

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.

[Speak @speak]

that's our CTO!!

[ben hylak @benhylak]

sat down with the cto of @speak to talk about signal engineering for production agents

(+ how they use @raindrop_ai)

[Speak @speak]

https://t.co/8fl3XSrdwu

[Speak @speak]

"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!

https://t.co/Vl2tBR6Sxf

[Speak @speak]

https://t.co/8fl3XSrdwu

[Speak @speak]

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!