I’

I’ve made a real-time 3D fluid simulation in WebGPU

Hacker News

Hello, I've deployed a real-time 3D water simulation for browsers. Works on your browsers which support WebGPU. - demo: https://splash-fluid.netlify.app/ - code: https://github.com/matsuoka-601/Splash - demo video: https://www.youtube.com/watch?v=9C7DRSdh88g To my knowledge, this is one of the largest scale fluid simulations for browsers. Around 70,000 particles can be simulated in real-time on my laptop with only an integrated graphics. With a discrete GPU (e.g. RTX 3060 laptop), 180,000 particles can be simulated in real-time. An algorithm called MLS-MPM (Moving Least Squares Material Point Method) enabled this level of real-time performance in browsers. For real-time rendering of the fluid, a technique called Screen-Space Fluid Rendering is used. If you want to know more, also see the GitHub repo!

Visit product View on Hacker NewsMar 23, 2025

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

84%84% 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 · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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.

Incorrect prediction on native model

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