1001 Tracklists VS Every Noice at Once

Hi everyone! I am huge fan of hardstyle anthems, and also a 1001tracklists.com special user. Source: 8 months ago

DJ sets from 1001tracklists.com. Love how they break down sets track by track. Source: 11 months ago

Third is the music. I would recommend 1001tracklists.com as a source of inspiration. There is a LOT there, so you have to try to find DJs of similar sound. Just go through, find tracks that you like and build a wish list from there. Now you need to source it. Beatport and Traxxsource are probably your best places to go for now. Download the tracks and import them into Rekordbox. Source: 11 months ago

100% agreed with you The energy levels are dopeee I'm badly waiting for this to be released It's showing up with a pre-save on http://1001tracklists.com Hope it's releasing pretty soon🤘🏽✌🏽. Source: about 1 year ago

More than likely, their playing tunes you like, so you want to play them. I use 1001tracklists.com for inspiration all the time. It's essentially a bunch of curated tracks. 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 / 11 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 / 28 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