Mi
Min-char-RNN-rs: A rust implementation of karpathy's min-char-rnn.py
Min-char-RNN-rs: A rust implementation of karpathy's min-char-rnn.py
Share cardActual performance
1points
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Launch Intel predictions
Analyze your own launch →78%78% 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.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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