Vid2gif – Convert .mp4/.mov to optimized GIFs locally using FFmpeg

Hacker News

As I worked on my personal projects, I kept running into the same problem: There wasn’t a simple, local way to convert screen recordings into GIFs that look clean in a README.md. Recordings don’t render inline on GitHub READMEs, and I didn’t want to rely on bulky video editors or upload my files to some sketchy ad-filled site. So, I wrote a small script. I found myself using it so often that I turned it into a proper tool: minimal, local, and built for developers who care about good documentation. I’m not some elite hacker — just a dev who wanted a better way to share demos. Thought others might find it useful too.

Visit product View on Hacker NewsJul 27, 2025

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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.

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

58%58% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, video, way · Missing: mobile apps, ios, entrepreneurs

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

19%19% 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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