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Based on our record, Every Noice at Once seems to be a lot more popular than Famous Birthdays. While we know about 422 links to Every Noice at Once, we've tracked only 12 mentions of Famous Birthdays. 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.
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 / 11 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 / 28 days 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 / 4 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
I went to famousbirthdays.com and searched on 1400's, and a lot of fairly well-known names came up as being living as of the year 1523 (500 years ago). Henry VIII, Martin Luther, Copernicus, Macchiavelli, and many many more. Source: about 1 year ago
What drugs is famousbirthdays.com on to make that conclusion? Source: about 1 year ago
- neuwiki: a different approach to a wiki. All sections are pages by themselves, which makes embedding sections on multiple pages easier (for pages about similar topics or for a pages in a different languages). I'm building it because I've long wanted to create an open-source, open-data/open-knowledge website with detailed information about influencers (something like wikipedia.org + famousbirthdays.com, but... Source: over 1 year ago
I compared everyone's birth dates (from Wikipedia and famousbirthdays.com, so maybe not 100% accurate), with the date of their first aired episode (because when the series were actually filmed isn't freely available knowledge), and it turns out that the oldest contestant was Jo Brand, 62 at the time the series aired. Source: almost 2 years ago
I was visiting famousbirthdays.com and I noticed timeworks was in june 29'th birthday list. Source: almost 2 years ago
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
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Rufus By Jtanza - Rufus is a free, open-source web based RSS reader, designed to be both simple and fast.