Every Noice at Once VS volt.fm

I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 21 days ago

Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / about 1 month ago

The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 5 months ago

This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 5 months ago

Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 5 months ago

I'll do a proper Show HN very soon, but for anyone who's interested in viewing their detailed Spotify stats, you can use https://volt.fm. - Source: Hacker News / 3 months ago

For 3 years I have been using Last.fm and its clearly the best. But recently I found volt.fm for Spotify, that gives you your all time Spotify stats without the need of scrobbling, just connecting your profile. Source: 6 months ago

With Super Stats, volt.fm now continuously monitors your played music and uses that to calculate and present you with lots of cool stats, such as the number of times you've played a song and your listening patterns (https://volt.fm/soheilpro). Source: 7 months ago

Volt.fm is pretty good too (and free), but not as comprehensive and it's the same semi-inaccurate data that Spotify uses for stuff like Spotify Wrapped and such, but still a nice way to see who your top artists, tracks, genres, etc. are! Source: 11 months ago

You can do stats.fm or volt.fm. I prefer volt because it shows your top 100 tracks, artists, albums. I'm slightly fanatical about stats. Source: 12 months ago