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Ask HN: Music streaming algorithm mix-and-match: Does it exist?
I recently migrated from a longtime Spotify subscription to Tidal after getting sold on the CD bitrate. After going through the common procedure of paying a third-party to migrate my saved tracks/playlists/artists it was a pretty rocky experience as I really started to get the hang of the suggestion algorithms and feedback loops. The general flavor of the songs and artists popping up on track radios was so alien to me. Streaming services have replaced radio and the algorithms used to feed the listener have taken on the role of the DJ.
I'm curious if there is a way someone has found to use one service's algorithm to fetch content that is consumed on another. I am ready to dig deep into the APIs of Spotify, etc. but I want to know if someone else has gone down this path before? What were the largest hurdles?
- mtmail 4y ago> the common procedure of paying a third-party to migrate my saved tracks/playlists/artists I didn't even know that was possible. Do you have a link or recommendation?
- popcalc 4y agohttps://soundiiz.com https://soundiiz.com I used these guys, but who knows, there might be better options. I paid for the "premium" plan with a $5 limit Privacy card. With these types of end customer facing SaaS services I always like to err on the side of caution as then I don't have to read the fine print about recurring billing carefully and it just gets declined if they try to pull a sneaky move. For context, I had about 40K tracks in Spotify. Importing them to Soundiiz was near instant. The process of automatically finding the equivalent tracks, artists, etc. and saving them to Tidal took about half an hour. For $3 definitely worth it. Typically I like to first try to solve an issue myself but this was one of those things where using some found-on-Github project and getting everything working just wasn't worth my time if it could be handled seamlessly by someone who already put in that work.