Based on our record, Every Noice at Once seems to be a lot more popular than aux.app. While we know about 422 links to Every Noice at Once, we've tracked only 5 mentions of aux.app. 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 / 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
I've been working on an alternative for the last year if anyone is interested: https://aux.app. Source: over 1 year ago
We've also been working an a similar product over at https://aux.app. We have a Mac/Web app for syncing and collaborating on Ableton and Logic Pro projects. Happy to chat to hear what people are looking for in a tool like this. Source: over 1 year ago
If you're using Live or Logic you could take a look at https://aux.app/. Source: over 1 year ago
Https://aux.app/ appears to be something similar with uploading stems and bouncedowns, and DAW integration for Live and Logic. Comes with a basic 10gb storage for it's free tier and more with paid tiers. Source: over 1 year ago
My name is Joe and I'm the Content and Community manager for aux.app - a new platform for musicians to upload, share, collaborate and discover the tools to level up their music, launching this November. Before we launch the app I've launched our music industry blog - Aux Connect (aux.app/connect ) . Source: over 2 years ago
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