YakGPT – A locally running, hands-free ChatGPT UI

Hacker News

Greetings! YakGPT is a simple, frontend-only, ChatGPT UI you can use to either chat normally, or, more excitingly, use your mic + OpenAI's Whisper API to chat hands-free. Some features: * A few fun characters pre-installed * No tracking or analytics, OpenAI is the only thing it calls out to * Optimized for mobile use via hands-free mode and cross-platform compressed audio recording * Your API key and chat history are stored in browser local storage only * Open-source, you can either use the deployed version at Vercel, or run it locally Planned features: * Integrate Eleven Labs & other TTS services to enable full hands-free conversation * Implement LangChain and/or plugins * Integrate more ASR services that allow for streaming Source code: https://github.com/yakGPT/yakGPT I’d love for you to try it out and hear your feedback!

Visit product View on Hacker NewsMar 30, 2023

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Actual performance

287points

118comments

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, openai, code · Missing: mac, agents, macos

85%85% 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 · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, calls · Missing: plus, intuitive, reviews

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, audio · Missing: web3, crypto, cryptocurrency

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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