Most TTS benchmarks are broken.
They assume long, clean, studio audio.
Real users give you 2 seconds, recorded on a phone, with noise.
We at @useCamb_AI built MARS8 to win there.
Super appreciate @akshay_pachaar pointing out the dope work of the @resembleai team.
Hardest part of getting Turbo unlocked is infra and I’m proud @TeamHathora sorted this before Christmas so you can try it this week:
https://t.co/NLX5qHurLu
Which of our 14 regions are you closest to? I’d love to get that hit ASAP to get you the lowest latency possible.
We would not complain if you got us past the Following/Follower ratio as a Christmas present.
Come through for:
- Multi-Modal AI Inference
- Our globally distributed network
- Dank memes (?)
- Niche gaming references
See you soon!
Announcing our latest partnership with @TeamHathora!
Hathora is a next-generation model marketplace and inference platform, giving developers unified access to cutting-edge ASR, TTS, STS, and LLM models across 14+ global regions, without managing infrastructure or multiple vendors.
Hathora’s architecture is built for real-time AI, routing every request to the closest available model instance for consistently low-latency performance.
We’re excited to bring Rime’s Arcana model into the Hathora marketplace, making it easier than ever for developers to add our expressive, converting, and enterprise-grade voices to their agentic and conversational AI applications.
Get up and running in minutes with Arcana on Hathora!
Tonight’s AI Lightning Talks at the @shinecapital office with talks from
Zack @AssemblyAI
@andre_slav03 @TeamHathora
And Kent from @Medal_TV and General Intuition.
We lit up the minds of NYC AI curious.
Come back in 2026!
We asked ~200 builders at yesterdays hackathon a simple question:
Which Real-time AI models do you actually want to use?
Some clear winners. Some surprises. A few “wait, really?” moments.
What stands out to you from this chart?
And which models should we add next?
More marketplace insights dropping soon. 📈
You might be shocked, but I didn't learn to code in Rabbinical School - but with @base44 i made my first voice-enabled app.
https://t.co/mSZ2oUJGL3
Pardon the crappy name and limited utility - but I swapped out the non-working ASR model for @nvidia's parakeet and I pulled out the standard Base44 LLM with @Alibaba_Qwen 3 30b, and this thing works! (Ofc, hosted on @TeamHathora)
I did do this with @Lovable first, but needed help so I can't count that as a totally solo project. Stand back, I'm a vibe-coder now.
Only three companies offer Speech-to-Speech APIs today: @OpenAI (GPT Realtime), @hume_ai (EVI), and now @TeamHathora with Qwen3-Omni.
That's right, we've shipped Qwen3-Omni to production, no waitlist, no queue.
Test it live: https://t.co/K1OETybLfw
Open-source S2S + real-time inference + multi-region infra.
Let me know what you think.
Hackathons actually suck.
I've been to the largest in the world: Calhacks and I've organized closed to a dozen
Honestly, you probably shouldn't go to one.
Here's why 🧵👇
I tried my first #voiceAI project on @TeamHathora and recorded it on @loom.
Used the @chatterbox model. I'm going to try it with @ElevenLabsDevs next. Maybe @thorwebdev will help me if I can't figure it out.
I'd love your feedback!
https://t.co/l4xorCujUv