Based on our record, Every Noice at Once seems to be a lot more popular than Smileys Generator. While we know about 422 links to Every Noice at Once, we've tracked only 2 mentions of Smileys Generator. 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 also like https://lenny-face-generator.textsmilies.com for those who don't yet know it. Source: about 3 years ago
Ok let's be honest. How many people have you had sex with in your life? ( ͡° ͜ʖ ͡°). Source: about 3 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 2 months 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 / 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
Emoticon Maker - Outline your own particular energized emoticon in a couple of clicks! Fast and simple to utilize, the Emoticon Maker permits you to make your specific emoticons and smileys from a photo.
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
Emoticon Art Editor - Emoticon Art Editor is an ultra-oversimplified and fun application that gives you a chance to make drawings by utilizing different emoticons.
Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.
GitHub Student Developer Pack - The best developer tools, free for students.
RadioGarden - An interactive map of live radio stations across the globe.