Thanks for sharing lastfmstats, wasn't familiar with that one! Delightful and nostalgic seeing the listens sliced as they have
replyThe middle one is fascinating. The first track I ever scrobbled is by an artist I have yet to listen to again in 22 years. Much of the longest gaps is taken up by bands I found or started to like due to Rock Band which came out around that time. Man I miss that too, we had 30 or 40 people over right after it came out and turned the house into a karaoke dive, right down to having to kick them off the couch the next morning.
reply> shows your listening rankings by hours, minutes instead of just scrobble count
replyI've wanted to build something like this for a long time, cool (and unsurprising, really) to see it's already done!
Swans is my number 30 by scrobbles but 4 by playtime, which makes total sense.
If you're a Spotify user, you can get even more precise data by downloading your listening data. The website I linked gets data from MusicBrainz and tries to fill in the gaps with an average, but even then it gets some things wrong.
replyE.g. Fishmans - Long Season is a 40 minute song, but the website's considers it as divided into 4-5 parts. And you don't have to listen to the full song to get a scrobble.
In the Spotify data you get the exact number of seconds you listened to it. And it is surprisingly complete and easy to use too. With LLMs I bet you can load it into pandas and construct queries for any insight you want in seconds.
Nice tip, but I use YouTube Music. I just downloaded my listening history, looks like they don't include listening duration, alas.
replya while ago I created this one, for when you want to listen to a familiar album, but can't decide which one: https://what-to-listen.chef-labs.deno.net/
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