YouTubeTldw: ad‑free, login‑free YouTube summaries in a flash

Hacker News

I made an open source, no BS youtube summary website that makes use of the tldw [1] python library to create really quick youtube summaries. The longer a talk is, the more ad revenue a creator gets. But we don't all have 40 minutes to listen to someone slowly edge around a point. This website has no ads, no login, and is 100% free.You can find the source code here [2]. [1] https://pypi.org/project/tldw/ [2] https://github.com/DavidZirinsky/tldw-site

Visit product View on Hacker NewsJul 29, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code, open · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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