Every Noice at Once
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Every Noice at Once
Socket for PythonBased on our record, Every Noice at Once seems to be more popular. It has been mentiond 433 times since March 2021. 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.
Ya'll should checkout https://everynoise.com/. Similar in spirit. Just read the update: > 2024-01-05 status update: With my 2023-12-04 layoff from Spotify 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.. What a shame. I didn't realize... - Source: Hacker News / about 2 months ago
Tried out a few prompts and the suggestions that came back didn't even seem in the ballpark of what I would've expected. Interesting idea nonetheless. https://everynoise.com/ is still my favourite for discovering new artists, especially in fairly esoteric genres. - Source: Hacker News / 5 months ago
> In the age of machine learning, I'm really surprised there aren't superhuman music recommendation algorithms. Because music is extremely hard to quantify. What do you quantify it on? See https://everynoise.com/ (the mess on the page is quantifying by just three or four out of 17 IIRC parameters) and their small doc on it: https://everynoise.com/EverynoiseIntro.pdf And doing that at scale across hundreds of... - Source: Hacker News / 6 months ago
I'm hoping that this metadata leak can revive projects like https://everynoise.com Spotify (and netflix etc..) have become very hostile to exposing their catalogue over API, so I'm glad they've gotten open sourced :). - Source: Hacker News / 7 months ago
Simply sharing metadata, related artists, genres, etc would create a pretty interesting ecosystem[1]. [1]: https://everynoise.com/. - Source: Hacker News / 7 months ago
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