No
Nos-stock, using tensorflow to automate YouTube frame grabbing
Nos-stock, using tensorflow to automate YouTube frame grabbing
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →70%70% 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.
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.
45%45% 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.
40%40% predicted probability of success on AppSumo, 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.
14%14% 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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