More than just ‘what app are you using’, but I do want that as well.

I want a good mindset for downloading music that has what I want and at least some of what I’ll probably like.

Currently, partially as a limitation of the app, I have every song in every album that contains something I like. This works well ish for discovery, but I know less than a quarter of my library, no matter how much time I spend listening to new music. This was with Lidar + tubifary (Tidal and Slskd only).

Currently I’m trying Downtify configured with slskd and yt as a backup, but it seems very slow to download and the app itself is very laggy.

  • wyldrstallyns@lemmy.dbzer0.com
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    6 hours ago

    On a similar note, I’ve been curious if that’s a tool that one could feed a playlist into and have it return another playlist, based on the former’s genre, tone, bpm, lyrical theming, etc. I’m not even sure how to begin searching, though. 🤷🏼‍♂️

    Also, I have the slimmest idea of what to recommend here, sorry. 🙇🏼‍♂️

    • BillButter@lemmy.dbzer0.comOP
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      5 hours ago

      You can kinda use audiomuse? Scans your local library and by way of a plugin can generate songs that sound like a given song.

      Doesn’t work on a whole playlist, but this is a start

      • wyldrstallyns@lemmy.dbzer0.com
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        2 hours ago

        Generate, as in list them, yes? I’m somewhat amenable to LLM use in such a search, but “AI” “music” is worse than TJ Maxx in the 90s.