Every Noice at Once Reviews

Audicable Reviews

1. Lennon

   9 months ago
   A hassle-music music conversion experience. thx AudiCable!

   I haven't experienced any issues, the application is really simple to operate, and even with the trial version, I am able to obtain the entire experience, including having short songs fully converted. In the not-too-distant future, I plan to upgrade my subscription to a lifetime subscription. Also, this program does a fantastic job of finding music that I can't acquire anywhere else; as a result, I can now have such songs and albums in my collection even when I'm not connected to the internet. Try it out. The application merited it.

2. Samantha

   10 months ago
   Works as described perfectly

   AudiCable works as described perfectly. Have had no crashes or worries. And contact with support has been iris regarding a billing issue. A good purchase.

3. Austina

   over 1 year ago
   Record audio from a wide range of streaming services

   I recently started using AudiCable Audio Recorder to record audio on my windows and it is easy to use. It allows me to record audio from a wide range of streaming services, including Spotify, YouTube Music, Apple Music, etc.

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 / about 2 months 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 / 2 months 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 / 6 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 / 6 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: 6 months ago

Audicable mentions (0)