A
A NLP Library for Matching Parse Trees
A NLP Library for Matching Parse Trees
Share cardActual performance
46points
12comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →71%71% 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.
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
60%60% 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 AppSumo, based on ML models trained on real launch data.
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
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