MusicMagal – Hacker Noon

If you're like me and my friend Daniel Franch, you love music passionately and extensively use services like Spotify and Last.Fm to get new music (and track your old musical habits). This two and others like Shazam, Apple Music and Pandora (just to name a few) make use of machine learning, signal processing, powerful hardware systems and HUGE music and user-related databases to quietly and elegantly deliver fresh albums, tracks, playlists an artist that you'll most probably like. In Spotify's case, 'Discover weekly' hands me a new playlist made out of 30 new tracks tailored just to my taste each week. A couple of friends like and share my taste in music (at least to some degree) and follow my version of this playlist since I've made it public. Daniel and I started thinking about applications for a hypothetical product.