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Greed.js – Run PyTorch code in browser using WebGPU
Hacker NewsGreed.js – Run PyTorch code in browser using WebGPU
Greed.js is a javascript library that allows executing PyTorch code right in the browser. It uses the WebGPU of the browser to execute PyTorch operations. We have written the core PyTorch operations in WGSL, which speedup the calculations. Also for devices/browsers which don't have GPU support. We have implemented fallback to CPU with NumPy polyfills implementing the PyTorch functions.
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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos68%68% 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, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released50%50% 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 · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%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, revenue16%16% 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, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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