Web Video editor, 100% local, AI subtitle, auto cut based on volume

Hacker News

I made this mostly to make content creation faster. When recording a youtube video/ podcast. there's alot of downtime (silence) while looking at scripts or getting the correct item to display. So I made a webapp to automatically cut and stich the video back together then I can further edit in davinci resolve. But I recently found out that this is crazy good for rewatching lectures or meeting recordings, No need to render, just drop the video in and watch it right away. 30min lecture can be watched in 12min! I even added auto generation of subtitles to make studying lecture /meeting better. Best of all everything runs locally, even the AI is running local models. Hope HN finds this useful like it did for me!

Visit product View on Hacker NewsApr 19, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, recordings · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: video, 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

44%44% 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

24%24% 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

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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