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Based on our record, Every Noice at Once seems to be a lot more popular than PRISM Break. While we know about 422 links to Every Noice at Once, we've tracked only 18 mentions of PRISM Break. 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.
Yeah, you need pretty heavy tech know how to read up on https://prism-break.org or https://www.privacytools.io/ about which apps/services to use and avoid and how to increase your privacy. If you don't have a doctor title in this field, there is nothing you can do. Source: over 1 year ago
Every anarchist should be aware of prism-break. Source: over 1 year ago
If I need to advise someone anything, I give that person this link https://prism-break.org/. - Source: Hacker News / almost 2 years ago
I like this, this, this, this and most of all this site. You can translate the latter via DeepL. None of them recommends Collabora though, which easily opens .docx and .xlsx files. Source: about 2 years ago
Other ideas could be found in https://www.privacytools.io and https://prism-break.org. Source: about 2 years 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 / about 1 month 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 / about 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 / 5 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
privacytools.io - You are being watched.
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
Privacy Guides - The goal of this guide is to make it easy for people to learn how to protect their privacy and educate them about what is happening on the web and how to protect themselves.
Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.
DNS leak test - Test your connection for DNS leaks.
RadioGarden - An interactive map of live radio stations across the globe.