Creating flowing particle animations out of images (JS and WebGL)

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Hi! I'm Alan, and I built a website that turns images into flowing particle animations. This javascript / WebGL tool creates particle animations out of any image in real-time within the browser, with particles that dynamically respond to edge detection and flow fields. It uses Sobel edge detection, a Perlin noise flow field, and webGL / GLSL for better performance. The tool is completely free and open source (MIT license). Github repo: https://github.com/collidingScopes/particular-drift Let me know of any feedback or suggestions for improvement.

Visit product View on Hacker NewsJan 29, 2025

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

66%66% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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