Good Calculators
Pay Calculator
Napflix
Omni Calculator
GetHuman
Viddit.Red - Download Reddit Video
Financial Independence Calculator
Blackpills
Every Noice at Once
Last.fm
Rate Your Music
RadioGarden
Archive.org
Ishkur's Guide to Electronic Music
Radiooooo
Music-Map
The "Good Calculators" project is a group of high functioning online calculators which have been carefully programmed to work on computers, smart phones and tablets. This project is ongoing and is meant for there to be a calculator for any of our communities needs, whether they be personal or business.
Good Calculators Every Noice at OnceBased on our record, Every Noice at Once seems to be a lot more popular than Good Calculators. While we know about 422 links to Every Noice at Once, we've tracked only 2 mentions of Good Calculators. 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.
Good Calculators -- can calculate almost everything. Source: almost 2 years ago
Why YSK, becasue theres something for EVERYTHING and Great TOOLS for every calculation or conversion you may ever need. Source: almost 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 / 25 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 / about 1 month 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 / 5 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
Pay Calculator - Simple calculator for Australian income tax.
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
Napflix - Siesta video platform
Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.
Omni Calculator - Helping you make rational decisions, one calculation at a time.
RadioGarden - An interactive map of live radio stations across the globe.
