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.
I get music from a variety of sources. Mostly torrents or soulseek. Both are hooked up through Lidarr but I also like to use the soulseek daemon web UI. I also buy off Bandcamp and download from the browser. Less often I get files from friends. All sources lead to “inbox” folders for Beets-flask, which handles tagging and then importing to the actual library. Navidrome serves the library up for clients. Koito handles scrobbles.
I’ve been trying out Aurral for recommendations and playlist generation but I’m not loving it. Pretty quick I learned it wants me to stream from it’s subsonic API (in place of Navidrome) for best results. I can’t figure out if it will work just off my Koito scrobble history.
Will try Audiomuse AI at some point. Auto playlist generation would make my stack feel more “modern” I think.