ResizeImage.dev – A fast image resizer runs in browser

Hacker News

Hey HN I built ResizeImage.dev that runs 100% client-side — nothing gets uploaded, and it’s instant. What it does Resize, crop, and optimize images directly in your browser Supports JPG, PNG, WebP Works offline (PWA-ready) No tracking, no server, no data collection How it works It uses the Canvas API and WebAssembly codecs to process everything locally. All transformations happen in-memory, so no files ever leave your machine. Why I built it I needed a simple, no-BS way to resize images for web and social media — something fast, private. Try it https://resizeimage.dev Feedback welcome I’d love feedback from the HN community Thanks for reading!

Visit product View on Hacker NewsOct 24, 2025

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3points

6comments

Did not reach leaderboard

Launch Intel predictions

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

76%76% 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.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

31%31% 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

20%20% 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.

Correct prediction on native model

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