VideoGist – Useful YouTube video summaries

Hacker News

Hi all! I put together a website that summarizes youtube videos. Enter any YouTube URL, and it will give you an overall summary, individual chapter summaries, along with key video frames. Here are a few examples: https://www.videogist.co/videos/tips-for-technical-startup-f... https://www.videogist.co/videos/openai-devday-opening-keynot... https://www.videogist.co/videos/cbs-evening-news-full-episod... https://www.videogist.co/videos/the-best-easy-miso-salmon-re... I'd love to hear feedback - if it's useful (or not!), what could be improved, etc. Thanks for taking a look! p.s. it can take a few seconds for summary content to show up - I am working to speed it up

Visit product View on Hacker NewsDec 7, 2023

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

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

47%47% 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

46%46% 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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, openai, 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 · Missing: arr, mrr, revenue

16%16% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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