TypeGPU Realtime Physics Sandbox

Hacker News

Inspired by Konrad Reczko Depth-aware light injection in TypeGPU - the sandbox showcases realtime PBF fluid simulation, Eulerian smoke, and multi-source light simulation on photos, videos, and live webcam. Scene gravity is inferred from the depth maps surface normals so tilted scenes should simulate fluid motion accurately. It also includes a few fun features like hand tracking and a WIP cup interior detection so you can fill up cups/glasses that appear in live video.

Visit product View on Hacker NewsAug 30, 2026

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Actual performance

2points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · 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.

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

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

47%47% predicted probability of success on BetaList, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, 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

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

nativeThis product was originally launched on this platform.

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.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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