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Based on our record, Every Noice at Once should be more popular than You.com. It has been mentiond 422 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.
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 / 10 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 / 27 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
Do we need some way to grade these services based on vertical or use-case? I actually tried the same tech questions to multiple services when I first started playing around with these commercial LLMs. I would copy and paste the same question to GPT4, MS Bing (I soon stopped using that since I already have a sub to gpt4), claude, bard, and recently You (https://you.com) and while Claude.ai was rarely as good as... - Source: Hacker News / 5 months ago
Diversify your AI usage 😅 Especially for web browsing I’d suggest you.com! Maybe the free version is already sufficient for you?! Source: 5 months ago
You can see you.com this website as a reference. Source: 6 months ago
With You.com - use search tab, with Phind - there should be a panel to the right of prompt. [0] - https://you.com. - Source: Hacker News / 6 months ago
I am myself in one of these countries, but I also care about my privacy, so I use services that use chatGPT indirectly instead: https://you.com with disposable email and https://phind.com. - Source: Hacker News / 8 months ago
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Brave Search - Private search that puts you first, not big tech