Software Alternatives & Reviews

Every Noice at Once VS Gnoosic

Compare Every Noice at Once VS Gnoosic and see what are their differences

Every Noice at Once logo Every Noice at Once

Every Noise At Once is a web app that lists every single music genre in an explorable, listenable...

Gnoosic logo Gnoosic

Even if you don't know what you are looking for - gnod will find it.
  • Every Noice at Once Landing page
    Landing page //
    2023-05-06
  • Gnoosic Landing page
    Landing page //
    2021-09-19

Category Popularity

0-100% (relative to Every Noice at Once and Gnoosic)
Audio Player
84 84%
16% 16
Music
73 73%
27% 27
Audio & Music
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Every Noice at Once seems to be a lot more popular than Gnoosic. While we know about 422 links to Every Noice at Once, we've tracked only 3 mentions of Gnoosic. 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.

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 / 5 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 / 21 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 / 4 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
View more

Gnoosic mentions (3)

  • like you do-Joji n About Us- the 1975
    I'd recommend visiting gnoosic.com and adding Joji/The 1975 etc. Into the algorithm to generate similar artist recommendations. Alternatively, you could probably type generic keywords into Spotify like 'young love' or 'the one that got away' and find some relevant playlists there. Source: about 1 year ago
  • Listen to Suishou no Fune!
    After LRD's songs were removed from Spotify I really had nothing that sounded like them to listen to except the recent version of White Awakening. About a week ago I discovered a website called gnoosic that recommends music based on a few bands you like. I put in LRD and it recommended Suishou no Fune so I checked them out. They sound so much like LRD and I finally found some LRD-esque music to listen to. If you... Source: about 2 years ago
  • Share your favourite site, best one I like will get Gold
    My whole life changed when I found this website. Source: about 3 years ago

What are some alternatives?

When comparing Every Noice at Once and Gnoosic, you can also consider the following products

Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm

BandNext - Discover bands that sound similar to artists you already love with BandNext. A single click saves your results to a Youtube playlist.

Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.

Music-Map - The Music-Map is the Tourist Map of Music, part of Gnod, the Global Network of Discovery.

RadioGarden - An interactive map of live radio stations across the globe.

TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.