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I built a tool to fight YouTube clickbait with AI summaries

Hacker News

I built a tool to fight YouTube clickbait with AI summaries

Hi HN, I built this to solve my own problem: wasting time on clickbait YouTube videos that bury one minute of value in a 20-minute runtime. My solution is Peekatube, a simple tool that gets you the key info first. - The Core Feature: It pulls a video's transcript and generates an AI summary so you know if it's worth watching. - It's Fast: With the help of a proxy and gemini-2.5-flash-lite, getting the full transcript and summary takes only 3-4 seconds on average. This is a live beta. The ultimate goal is to build this into a Chrome extension that works right on the YouTube homepage. I would love to hear your brutally honest feedback. What's the one thing you'd add or change? I'll be here all day to answer questions. Thanks!

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
85%85% 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: gemini · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
38%38% 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
26%26% 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
22%22% 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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