141–149 of 149 posts
When I used to be much more active in online music communities I would post a 9x9 of my most listened to albums of the past week and discuss them.
Lastfm stopped me moving from Spotify to Apple Music; none of the iOS scrobblers seem to consistently catch all listens.
Earlier this year I decided to move away from streaming platforms and rebuild my local music collection and serve it out over Plex. Plex supports last.fm so everything gets recorded there. I also use the following docker containers on my home server: Multi-Scrobbler: https://hub.docker.com/r/foxxmd/multi-scrobbler Koito: https://koito.io/guides/installation/ This allows me to share my last.fm input to both a local sc…
If you want something that doesn't require a docker container to run but still supports multiple targets, I'm maintaining a small linux daemon for that: https://github.com/mariusor/mpris-scrobbler
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In my experience Spotify's song/playlist recommendations are not great, but the album recommendations have a pretty high hit rate. I'm not sure why this would be.
Did they get a lot better recently? For years I rarely even looked at them because they were so banal and repetitive, but about six months ago they suddenly became something to stay on top of.
The best ”algorithm” for discovering new music was digging through profiles on last.fm back when the social functions of the site were still active. Sure, it was a lot of manual work, but the results were amazing. It wasn't completely blind, I found that people I had high similarity with, it was more likely I'll like what they like, even across different genres. Sometimes people were nice and took the effort to recom…
This has been until very recently the modus operandi of most recommendation engine algorithms. If an algorithm is essentially doing what you do, would you not like that?
The best ”algorithm” for discovering new music was digging through profiles on last.fm back when the social functions of the site were still active. Sure, it was a lot of manual work, but the results were amazing. It wasn't completely blind, I found that people I had high similarity with, it was more likely I'll like what they like, even across different genres. Sometimes people were nice and took the effort to recom…
The best way to discover music nowadays is RateYourMusic. I go to an album I like, read a couple reviews to find like-minded people and check out their profiles. They often have lists with their favorite albums. The album chart queries are also incredible. The site has a very detailed system of genres and descriptors so you can find exactly what you want.
My problem with this is that it makes certain assumptions about the consistency of applying genres and about the very concept of genre which (imo) is more of a social construct than an empirical concept. It falls in the same category as religion-sect, language-dialect.
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Silly curiosity - what's that "BEAM-appreciator" in that bio? I could only think of a protein brand name (that too not from my geography) shortened as BEAM :/ Anyway I loved that he has reposted a post from musicbraniz https://bsky.app/profile/musicbrainz.org/post/3lnhvp23jc22l/...
I would guess it's referring to the Erlang VM: https://en.wikipedia.org/wiki/BEAM_(Erlang_virtual_machine)