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I Made InfoBeatLive – The Operating System for Startup Success

Hacker News

I Made InfoBeatLive – The Operating System for Startup Success

Hi HN! I'm the founder of InfoBeatLive. I built this platform to help founders avoid early startup failure. InfoBeatLive acts as an AI-powered operating system for startups — helping you with strategies in marketing, analyze product-market fit, and track performance with real-time insights. I created this because I noticed most startups fail not because of the idea, but because of a lack of clear strategy and validation. I’d love your feedback, especially from early-stage founders and builders. https://infobeatlive.com Thanks for checking it out!

Visit product View on Hacker NewsOct 23, 2025

Actual performance

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Did not reach leaderboard

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92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

33%33% 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

25%25% 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

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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 · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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