Hype Machine VS Every Noice at Once

Since no one's mentioned it, I wanted to mention Hype Machine, a music blog aggregator. It indexes hundreds of music sites and makes it easy to listen to their latest posts. Its basic mission is to help find the best new music first. Tracks favourited the most by users show up on the Popular page. I use heaps of methods to discover new music that have been mentioned already, but I didn't see Hype Machine - it's... Source: about 1 year ago

Did you know this still exists? https://hypem.com/. Source: about 1 year ago

I suppose there are a few sites that hang onto the Web 2.0 spirit. The Hype Machine is a good example, despite no longer having the content it used to...and it's no longer a relevant force in music anymore. It's a shame what the Web has become but at least there are pockets out there that keep the spirit alive. Source: over 1 year ago

Then as my iTunes library grew in the late 2000s early 2010s, I became obsessed with building playlists. This coincided with finding The Hype Machine https://hypem.com , where I could find new music though oftentimes these were remixes, unless I specifically searched new genres. I found alt-country during this time which broke my opposition of country music. Source: almost 2 years ago

Https://hypem.com/ Pretty random, but sometimes make me happy :). 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 / 7 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 / 24 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 / 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