Real time AI voice chat with Elon

Hacker News

Hey everyone! We've just rolled out a fun Valentine's Day project: an Elon Musk chatbot. Our goal was to capture Elon's unique voice, adding a bit more depth and charm, and to ensure chatting with AI in real-time is a smooth experience. We're using GPT-3.5 (faster than 4), Deepgram for ASR, and lmnt-tts-0131 for TTS. Our average latency is 300ms. We plan to open-source the project after February 14th. Check it out at https://www.sexyelon.ai/ and share your thoughts on latency, voice quality or anything else. Are you building a chatbot with voices? We're happy to share our experiences and discuss any challenges if that’s helpful. Drop me a line!

Visit product View on Hacker NewsFeb 12, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

92%92% 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.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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, real time · Missing: web3, crypto, cryptocurrency

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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