PaperTube – Turn YouTube Videos into Kindle-Ready Articles

Hacker News

Would you prefer reading podcasts, TED talks, or conversations instead of watching/listening to videos? If so, you might find this interesting. PaperTube lets you turn any YouTube video into an easy-to-read, well-formatted article with speaker names, and you can even get it on your Kindle. I've been working on this small project over the last week. Right now, it supports sending any video to Kindle. I'd love to hear if anyone is interested in this. Looking forward to your feedback and discussion! It's currently free because I have some free credits for the LLMs I'm using. I need to find a way to fund it. Some features I'm planning include subscribing to YouTube channels and getting daily or weekly articles on your Kindle, and maybe a browser extension to quickly convert any video.

Visit product View on Hacker NewsMay 26, 2024

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

79%79% 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: using · Missing: mac, agents, macos

70%70% 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, way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, 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

41%41% 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

15%15% 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.

Incorrect prediction on native model

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