We
We wrote forensic intelligence reports on 20 open-source codebases
We wrote forensic intelligence reports on 20 open-source codebases
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →77%77% 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.
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
18%18% 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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