Based on our record, Every Noice at Once should be more popular than Ishkur's Guide to Electronic Music. It has been mentiond 422 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 8 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
By electronic music styles and year https://music.ishkur.com/ (can recommend just clicking around and reading the texts too). Source: about 2 years ago
Https://music.ishkur.com/ is very helpful, and quite accurate, speaking as someone who's been listening to various forms of electronic music since they started as genres (as opposed to one-offs like Jean Michel Jarre or Wendy Carlos, trailblazers in the technology but were before the mainstreaming of it). Source: about 2 years ago
It's so easy. There's even a website that lets you enjoy all flavors. Thank you Ishkur. Source: about 2 years ago
Https://music.ishkur.com/ I know that this web site is a little daunting but if you enjoy digging though music this is the best place to start. This genera is really dense has so many hidden gems. Source: over 2 years ago
If you really want go down the rabbit hole of electronic subgenres: https://music.ishkur.com/. Source: over 2 years ago
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