I also worked for 8 months on a music discovery webapp called Noiseblend that uses Spotify. We were never accepted for their commercial program and were not allowed to ask for money on the website. Source: about 1 year ago

My most ambitious web project was https://noiseblend.com which is a web app for discovering music on Spotify. It’s a next.js + React slow and memory hungry mess [1] which could have been static HTML with some JS for the dynamic bits. Experience taught me to keep it simple nowadays, but I had to go through the Noiseblend mistakes first. The stack is Python with Sanic for the backend, Postgres for db and Redis for... - Source: Hacker News / over 1 year ago

I’m serving everything from the Spotify API directly on Noiseblend (https://noiseblend.com) and rate limit has never been a problem. When a request fails because of a rate limit, Spotify responds with 429 and a Retry-After header so you know when to schedule the next request. In my tests, that header never had a value greater than 10 seconds, and 429 responses were very rare. - Source: Hacker News / over 2 years ago

I've been using this site ever since I discovered it! I'm glad to see it featured on HN. I started learning to play the Romanian Kaval [1] last summer and Songdata helped me enormously in finding good backing tracks to improvise on. I'm mostly improvising on chillhop tracks right now because I'm trying to develop less traditional rhythms (although I'm still clumsy with the breathing and knowing when to keep the... - Source: Hacker News / over 2 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 / about 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 / 2 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 / 6 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: 6 months ago