Arbiter
Local, On-Device AI
I created Arbiter because I believe AI should be private, accessible, and under the user’s control.
Share cardActual performance
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Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →77%77% 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.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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