Acclaimed Music VS Every Noice at Once

I personally use Rate Your Music and Acclaimed Music to discover new songs or albums. Source: over 1 year ago

I explore websites like acclaimedmusic.net and everynoise.com and go through lists of award-winning and chart-topping songs on Wikipedia. Source: over 1 year ago

He has the game on lock since his debut (almost 20 years). He is 45 years old and still has 50 million monthly listeners (more than K dot and J cole) and can still sell 300k+ copies first week (more than any rapper sans Drake). He is always talked about. According to acclaimedmusic.net he's the 13th most acclaimed musician in history. He has sold over a 100 million copies, and broke the mold with albums like... Source: almost 2 years ago

The websites I used are: Https://rateyourmusic.com Http://acclaimedmusic.net Https://www.besteveralbums.com Also used the Rolling Stones' lists: Https://www.rollingstone.com/music/music-lists/500-greatest-songs-of-all-time-151127/ Https://www.rollingstone.com/music/music-lists/best-songs-of-all-time-1224767/ This is still a work in progress, but there're 200 songs on this list, for now. I'd like to say they... Source: almost 2 years ago

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 / 22 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