About Nutrify
Analysis Functions
Artist/Track Percentage:
percentage = artist_appearances_in_top_tracks total_tracks × 100
Calculates how often each artist appears in your top 100 tracks
Mainstream Level:mainstream = Σ(artist_popularity) total_track_based_artists
Average popularity score of artists found in your top tracks
Sleeper Pick Selection:sleeper = min(popularity)
where popularity < 50 AND track ≠ top_track
Finds hidden gems with low popularity but high personal ranking
Genre Percentage:genre_percentage = tracks_with_dominant_genre total_tracks × 100
Calculates what percentage of your tracks contain artists from your most common genre
...and some other fun calculations!
Privacy & Security
Nutrify only accesses your music listening data and never stores personal information permanently. All authentication is handled securely through Spotify's official API, and you can disconnect at any time.
About Me
Nutrify was created by Andrew Chung as a fun way to visualize music listening habits. Inspired by Receiptify and MagicSpoon Cereal, it's another fun way to look at music taste.
You can check out the project here: Github