Comprehensive Genre Exploration
Every Noise at Once offers an extensive array of music genres, enabling users to discover both mainstream and obscure musical styles from all around the globe.
Interactive Experience
The platform's interactive interface allows users to click on any genre and listen to a sample, simplifying the discovery process and making it enjoyable.
Visually Engaging
The scatterplot-like visualization is not only functional but also aesthetically appealing, encouraging users to explore more genres.
Data-Driven
Every Noise at Once leverages data from Spotify to ensure that genre classifications are current, accurate, and reflective of real listening habits.
Deep Links to Spotify
For users who want to dive deeper, the platform offers direct links to Spotify playlists for each genre, facilitating further exploration.
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Spotify has not viewed itself as a music company for longer than that. It's a platform for audio. And, while there are still music first people at the company, they are not in the power positions that they used to be. The transition didn't start when they laid off Glenn MacDonald, but that sort of cemented it. They had already gutted curation before that and by this time you were far more likely to find people... - Source: Hacker News / 19 days ago
No, you didn't really have all the music: you were very limited by what was playing on the radio (fully influenced and often paid for by large labels) and in the local record store. Now you can chose to listen to almost anything: https://everynoise.com/. - Source: Hacker News / 5 months ago
One of the gratest Spotify tools is : https://everynoise.com/#otherthings I hope they will long live. - Source: Hacker News / 5 months ago
A map to me is something that organizes something spatially, two-dimensionally, like everynoise[1], which I don't really see here. [1]: https://everynoise.com/. - Source: Hacker News / 7 months 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 / about 1 year 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 year 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 / over 1 year 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 / over 1 year 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: over 1 year ago
I am trying to make a torrent of everynoise.com, I'll share it to the internet archive, but not sure if it will get taken down. (I only got the first 2 levels of HTML files, not the CGI files that are linked from the artist/group HTML pages). Source: over 1 year ago
Other interesting websites that came out in my research are: Https://everynoise.com//. Source: over 1 year ago
See furia.com for ongoing updates, but yeah, I was included in the massive 1500-person Spotify layoffs on Monday, with only 15 minutes of warning and thus no time for any contingency plans. everynoise.com won't disappear, but I'd be surprised if anything changed in a way that would make it possible for it to continue updating. Then again, I've been surprised by events before, most recently on Monday, so we'll see. Source: over 1 year ago
I see the Music Map link below and I raise you Every Noise at Once. Source: over 1 year ago
I use MusicBee as my player. there is a tab called Music Explorer and in there is similar artists. Shows what you have that is similar. But there is a MORE similar artists. From there it opens a rabbit hole of artists I might not have heard of. It has certainly ballooned my collection. Additionally, I like Every Noise at Once as a unique website to explore the plethora of genre options. Source: over 1 year ago
Edit: Also go to everynoise.com, search for an artist, click their profile, listen to the canonical path playlist. Source: over 1 year ago
Today, Spotify’s data alchemist, Glenn McDonald, announced on his Twitter that his project, Every Noise at Once, a map of music genres recognized by Spotify and an excellent resource for finding new music, may be shutting down sometime in the near future. Thankfully, many of the genre maps have been archived in the Wayback Machine, but the site is SO MUCH more than that, and the majority of the genre playlists... Source: over 1 year ago
You might like Every Noise at Once (works best on desktop). Source: over 1 year ago
A popular music genre exploration site everynoise.com may be suddenly shut down soon according to this tweet. Most likely due to Spotify wanting to charge more for API requests is what most people are thinking. Source: over 1 year ago
Edit: I'm remiss not to mention the value I've found in Every Noise At Once -- a pet data wrangling project of somebody who works at Spotify and gets to really dip his hands into the spaghetti of the database. Not only does he have some really fringe genres cataloged there, but you can also find things like top songs by country and city or even college, songs by city of origin, demographics, even an 'obscure... Source: over 1 year ago
A similar website, but using genre clustering instead of artists: https://everynoise.com/. - Source: Hacker News / over 1 year ago
The every noise at once site is also a great genre map I've sunk far too much time into: https://everynoise.com/. - Source: Hacker News / over 1 year ago
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