For others who also love making outfits and fashion mood boards with apps like Pinterest, you might also like Combyne, Shoplook, Statement, Drest, and Fashmates which are some of my favorites. Source: about 1 year ago

- Fashion- We're big into expressing ourselves with fashion and have pretty distinct styles. Only problem is building even one closet can be difficult and expensive. Thrifting is definitely a fun activity for everyone to do together on a budget, though. Otherwise, we use things like Shoplook to make collages of dream outfits. (More subtley would be wearing different necklaces or personal jewelry). Source: about 2 years ago

Clothing references: Https://shoplook.io/home : Easy to find entire outfits, easily searchable tags, you can make your own posts and save them using real life clothes. Pinterest.com : same deal as shoplook , has the added benefit of being a reference for bedroom furniture, home items, and hairstyles. Very useful for if you don't know where to begin. Stitchfix.com : Same verse, same as the first. Has the added... Source: about 3 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 / 2 months 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 / 3 months 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 / 6 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 / 7 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: 7 months ago