Every Noice at Once VS Discoveries.fm
Compare Every Noice at Once VS Discoveries.fm and see what are their differences
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
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Every Noice at Once
Last.fm
Rate Your Music
RadioGarden
Archive.org
Ishkur's Guide to Electronic Music
Radiooooo
Music-Map
Discoveries.fm
Listnd
MusicHarbor
Acclaimed Music
TheSixtyOne
humit
CritiqueBrainz
Maloja
Every Noice at OnceBased on our record, Every Noice at Once seems to be more popular. 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 / 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
Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
Listnd - Listnd is a social platform for tracking, rating, and reviewing the music you listen to, and for sharing your thoughts with your friends and the world at large.
Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.
MusicHarbor - MusicHarbor is an app that helps you stay on top of new music releases, music videos, events, and news from all your favorite artists and record labels.
RadioGarden - An interactive map of live radio stations across the globe.
Acclaimed Music - Acclaimed music is a top music recommendation tool that showcases the most popular song based on which is currently topping the Billboard charts and provides links to the latest music news.