A
A refreshing take on White Noise playlists
A refreshing take on White Noise playlists
This project originated from an observation: white noise playlists offered by streaming platforms, are often made up by brief and disjointed audio tracks. This strategy maximizes plays and revenue for their publishers, resulting in a less than ideal auditory experience for the user.
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
48%48% predicted probability of success on BetaList, based on ML models trained on real launch data.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
22%22% 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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