Tune My Music VS Every Noice at Once

I usually use http://tunemymusic.com. Source: 10 months ago

I have not tried playlisty, so I cannot tell you. However, I’ve used tune my music and it’s pretty simple. When you go to the Website, you select what service you're coming from, and the next screen is the destination service. And then you just select songs/playlists that you’d like to transfer and watch it go. It’s pretty straightforward, and if you have any questions, I’d be happy to help you do it as I’ve used... Source: 10 months ago

You just copy and paste that output - the artist - song name, and save it into a plain text file. You can use services like tunemymusic.com and it will import that text file and create an actual music playlist in spotify, or in a bunch of other music services, so you don't have to go searching. I've already dumped a CSV file of your playlist :-). Source: 12 months ago

Two that I've used in the past is soundiiz.com & tunemymusic.com. Source: 12 months ago

I m using tunemymusic.com to transfer, it only allows me to transfer 500 songs a time unless I pay for the premium. 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 / 5 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 / 21 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 / 4 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