Br
Browser LLM Fit
Browser LLM Fit
Auto-detect client hardware capabilities and match against in-browser AI models across WebGPU, WASM, and ONNX Runtime. GH: https://github.com/hemanth/browser-llm-fit
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →68%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.
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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