We

We turned ChatGPT into a real voice agent (no API, no back end)

Hacker News

We turned ChatGPT into a real voice agent (no API, no back end)

We wanted to see if we could make ChatGPT talk to a user in real time — without using the API, SDK, or any backend. We routed audio between ChatGPT Desktop (Advanced Voice Mode) and a Jitsi video call using Voicemeeter Potato. It’s a working two-way voice agent. No code, no infra. Demo (split screen video) and full tutorial here. Would love feedback.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, user, chatgpt · 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 · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
43%43% 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 · Missing: plus, platform, intuitive
27%27% 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
24%24% 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, audio · Missing: web3, crypto, cryptocurrency
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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