FocusStream – Learn from YouTube Without the Distractions

Hacker News

I built FocusStream because I was frustrated with how hard it is to stay focused when trying to learn from YouTube. You go there to watch one tutorial and twenty minutes later, you're deep into random recommendations that have nothing to do with what you came for. FocusStream solves that. It strips away the noise and lets you use YouTube intentionally: - You enter a topic you want to learn. - It fetches only relevant educational videos. - No autoplay, no sidebar recommendations, no algorithmic rabbit holes. The goal is simple: help people actually learn from YouTube without getting pulled away by distractions. It's free, minimal, and runs directly in the browser. Try it: https://focusstream.media For those who prefer to watch a video, here's the demo: https://drive.google.com/file/d/1fCvOJ6kRs9jn7O_hIGgP6wBuq4f... Would love your feedback, especially from anyone who's struggled to stay focused while learning online.

Visit product View on Hacker NewsOct 21, 2025

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3points

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% 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 · Strong signals: google · Missing: mac, agents, macos

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

TrustMRRLess likely to generate early MRR · Strong signals: video, google, way · Missing: mobile apps, ios, personal

46%46% 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

32%32% 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

31%31% 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

18%18% 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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