I created the first 24/7 AI Livestream

Hacker News

Hey All - I'm excited to launch the World’s First 24/7 AI Podcast Stream After some serious server headaches, the world’s first 24/7 AI podcast stream is live! It generates 5-10 minute segments with different AI hosts and even responds to viewer comments (eventually) by turning them into podcast episodes. The idea is to create a space like Lofi Girl where people can hang out or actively chat. I see this as the start of new community experiences around AI—more of a “movie theater” vibe compared to Character AI’s “Netflix” feel. It’s still early days, but I’m excited to see where this goes. Check it out and let me know what you think!

Visit product View on Hacker NewsFeb 15, 2025

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2points

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Launch Intel predictions

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

74%74% 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: created · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

42%42% 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: host · 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 · Strong signals: active · Missing: arr, mrr, revenue

16%16% 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 · Missing: web3, crypto, cryptocurrency

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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