Richard Jones is still alive and kicking https://x.com/metabrew

Still a member of Last.fm, scrobbling since 4 Jan 2007 with 283,262 scrobbles.

I just moved my scrobbling to a self-hosted instance of Koito after switching from Spotify to Jellyfin. Very happy with the change, as I can still share all my music data with friends

I'm still scrobbling after all these years.

Also from this era and loosely related.

https://en.wikipedia.org/wiki/Oink%27s_Pink_Palace

I love last.fm with all my being. I recently created a ListenBrainz (same org as MusicBrainz) account which is an open source alternative that you don’t have to host yourself. I’m scrobbling to both places now just in case.

Check out tapmusic.net too to make cool diagrams out of your scrobbled music.

I'm a big fan of last.fm.

If you use Spotify, you can download your full listening history here: https://www.spotify.com/us/account/privacy/. You get it in a pretty convenient JSON format and with a little bit of code it's pretty easy to create some visualizations.

There are also websites for visualizing this data. I'm quite fond of this one: https://explorify.link/. It allows you to do some custom queries.

Google Music killed my used of foobar, scrobbling, soulseek and probably others.

Memories. I wrote the initial Windows Media Player plugin for Audioscrobbler but didn't maintain it.

Last.fm is still used quite a bit, mainly as a listening history tracker rather than a radio or recommendation engine.

Spotify is still the only big streaming service with native platform-level scrobbling. For everything else it's a lot more DIY, usually with third party tools at the device level.

A big reason it’s still relevant is the ecosystem around it. The API hasn't really changed in 15 years, which makes it easy to build tools where a username alone is enough. That kind of lightweight social integration has mostly disappeared elsewhere.

Today, the social / community side is almost entirely just Discord. Nearly every music related server has a bot that displays Last.fm stats. My estimate is that abut 10% of Last.fm their users are also active in Discord music communities.

(Disclaimer: I run .fmbot, a Discord bot that integrates with Last.fm.)

I stopped scrobbling many years ago when they messed together my top artist at the time (the lovely "alan", spelled with all small letters) with other entirely unrelated artists by the same name (but with different letter case, e.g. some "Alan" this, and some "Alan" that.) It didn't represent at all what I was actually listening to, so what was the point?

https://listenbrainz.org/ is an open source scrobbler, with the advantage that it leverages the musicbrainz database and connects listens to artist and track IDs instead of names, avoiding duplicate confusion. You can keep last.fm and submit to both of you like.

Still scrobbling since 2008. A lot of smaller artists used to upload their music to last.fm, and I found a lot of gems there (specifically in the swedish bitpop scene).

Part of the quantified self movement. https://en.wikipedia.org/wiki/Quantified_self

The thing with data is that you have to act on it for it to be useful, and this data is useful only to recommendation engineers. Spotify's end-of-year summary is more than enough to satisfy my curiosity.

Last.fm was probably my first social network, although it probably doesn't make it justice to call it that! I am still scrobbling after so many years! Loved this article. Really good memories... Thx for sharing

https://libre.fm/ scrobbling since 2009 built on GNU FM

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 recommend based on my profile. I got introduced to varied music, different genres and even a bit from different countries.

The worst was Pandora, which did recommendations based on breakdown of musical instruments and elements in the song. It did what it aimed to do pretty well, only it was a bad idea. It gave you a lot of uninspiring music that sounded like a bland copy of something you actually liked.

Spotify's recommendations are not super awful, but definitely feel closer to Pandora's style. I wonder why is the result like that even though I'm sure they train their model based on listening history.

I always thought Apple missed a huge opportunity to build a social network on top of iTunes.

See what your friends are listening to, develop communities around shared musical interests, get better recommendations. Sort of like YouTube now.

ooo... i thought Last.fm was a rebranding of audioscrobbler; i didn't know it was a parallel project. and I am an audioscrobbler user since 2006! and I've used it to this day, i mean, last.fm.

very interesting article!

I guess I'm gonna pop in here and mention libre.fm