Every Noice at Once VS Spotify

Every Noice at Once Reviews

Spotify Reviews

1. FaizaAdeel    

   Owner at Peacock.collection11 | 6 months ago
   Enjoyable Music Experience

   Spotify stands out as a top-tier music streaming service with its vast library, user-friendly interface, and personalized playlists. Despite minor drawbacks, such as audio quality variance and download limitations, it remains a go-to platform for music enthusiasts.

   🏁 Competitors: SoundCloud

   👍 Pros:    Extensive music library|User friendly interface|Personalized playlists|Cross-platform sync

   👎 Cons:    Audio quality variation for lower tired subscription pla|Limited offline downloads
2. LPS    

   almost 2 years ago
   My favourite feature is the Listen Along and Weekly Playlist!

   It's extremely fun to listen along to a friend or random people, find new songs. I really like spotify's algorithm and how it comes up with new weekly playlists. I always love those (most of the time XD)

Every Noice at Once mentions (422)

• When do we stop finding new music?

  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 / 10 days ago

• Spotify launches personalized AI playlists that you can build using prompts

  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 / 26 days ago

• Displaying Content as a Graph

  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

• The Beginning of the Past

  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 / 5 months ago

• [OC] Exploring my world of music in 7 years of listening data

  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

Spotify mentions (0)