Radiooooo VS Every Noice at Once

I don’t know if it technically counts, but I use https://radiooooo.com. Source: 5 months ago

Check out Radiooooo it’s like pandora but you choose a country, a decade, and a vibe (slow/fast/weird). Source: 10 months ago

Oh wait, there’s another app for that called radioooo you can select a country and a decade. I’d try Nigeria in the 80’s, Zaire in the 70’s and 80’s and Ghana around then too. Oh and South Africa as well, though that will be more horns and electrics. Source: 10 months ago

Hey y'all, I usually dig around for random obscure stuff in second hand record stores, but recently have been using radiooooo.com to give me a random track from a country and decade of my choice. it's awesome so far and I've found some really cool stuff, but I was wondering if there are any other services or apps people in here use to find obscure music. Source: 11 months ago

In the same spirit you have radiooooo where you can chose a country + a time period and you get a nice playlist. I've Discovered Amazing song on it. Source: about 1 year 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 / 1 day 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 / 18 days 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 / 4 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 / 4 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