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Realtime, expressive AI personas that you can video call

Hacker News

Realtime, expressive AI personas that you can video call

Hey HN. Over the last few months, we've (me and @parthradia) homebrewed some very fast, very cheap, and pretty expressive talking head models. Our latest enabled us to finally get a live-streaming API together, which you can try at the playground link above. We actually fell down this rabbit hole because we were spending a significant amount of time building yet another language learning app. We came to the conclusion that the barrier for learning wasn’t the course content, but real, conversational practice. We tried prototyping with standard speech-to-speech models (OpenAI Realtime, Gemini Flash, etc.), but found that we weren’t really triggering our “fight or flight” response. What did trigger it was talking to a person, face to face. We looked for existing realtime avatar APIs to bridge that gap, but they didn’t fit the constraints: they either didn’t cross the uncanny valley, were too slow (<15 fps), or were way too expensive. So we decided to make our own :-) The model itself runs at less than a cent per minute and at >30fps on commodity hardware (4090s!), which is pretty cool. But more importantly, we’ve actually found ourselves using it as a speaking partner for learning Spanish, which is a pretty remarkable feeling at times. This has inspired us to look beyond language learning; we are exploring other use cases (e.g., telehealth, mock interviews, refining elevator pitches) where face-to-face interaction measurably elevates the experience (and we’d love to hear from you here!). With respect to our tech, there’s still low-hanging fruit to pick: 1. It takes roughly 6s to get a response end-to-end (the video gen is fast, but the chain of ASR -> LLM -> TTS adds up) 2. The resolution could be higher 3. The model feels expressive and natural during its speech, but less so during user turn (early prototypes of the model reacting in realtime to what you’re saying show promise) While we build out consumer-facing application(s) powered by our model, we’re opening up an API early to see what other developers might build with it. We’d love for you to try it in our playground. Leave a comment below or shoot us a line if you want early access (access@keyframelabs.com)!

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos
98%98% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, month, way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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Apoyo integral para personas con autismo

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