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Canetis – a recursive Python audio/text aligner built on Gentle
Canetis – a recursive Python audio/text aligner built on Gentle
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
25%25% predicted probability of success on BetaList, based on ML models trained on real launch data.
23%23% 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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