Fi
Fixrs – Refactoring for long absolute paths and clippy:absolute_paths
Fixrs – Refactoring for long absolute paths and clippy:absolute_paths
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →73%73% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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