Ph
PhishTracks Stats - listening stats for the band Phish
PhishTracks Stats - listening stats for the band Phish
https://www.phishtrackstats.com/stats?entity=tracks&timeframe=all_time It's a tool I built to identify quality tracks based on play count in the vast Phish catalog (~27k tracks). It's also a way for me to play with some new tech: Elasticsearch & angularJS. What do you think?
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Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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