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Based on our record, Every Noice at Once seems to be a lot more popular than Cowboy. While we know about 422 links to Every Noice at Once, we've tracked only 5 mentions of Cowboy. 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.
According to the 'Server' response header, Cowboy is the customer facing web server Https://github.com/ninenines/cowboy. Source: over 2 years ago
===> sh(git clone -n https://github.com/ninenines/cowboy .tmp_dir636214859401) Failed with return code 128 and the following output: Cloning into '.tmp_dir636214859401'... Fatal: unable to access 'https://github.com/ninenines/cowboy/': SSL certificate problem: unable to get local issuer certificate. Source: over 2 years ago
RE: HTTP/Web Sockets/TCP/UDP/etc. - check out NineNines libraries: Ranch (TCP Socket Acceptor), Cowboy (HTTP Server), Gun (HTTP client), and CowLib (General HTTP/SPDY library) are pretty good from what I hear. Source: over 2 years ago
Ranch is a pretty well optimized and battle hardened tcp acceptor. It powers the Cowboy/Phoenix server which scales to extreme level of concurrency and low latency. Cowboy uses ranch to pool and accept connections and I believe it uses {active,once}. https://github.com/ninenines/cowboy https://github.com/ninenines/ranch. - Source: Hacker News / over 2 years ago
I have a web application which uses cowboy and cachex every so often cachex errors, which means my server returns a 500. Source: 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 / 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
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