A question for the author or anyone else who has experience in similar solutions. Is there any good solution for discovering new content? Much of the time, I want to stick to my subscriptions, but I do enjoy content surfaced by the algorithm at least once weekly, sometimes more often. My concern in taking my viewing off-platform is twofold: 1) going to YouTube will prompt me with all the stuff I've already watched of…
Show HN: A personal YouTube frontend based on yt-dlp
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Re: Show HN: A personal YouTube frontend based on yt-dlp
#52Re: Show HN: A personal YouTube frontend based on yt-dlp
#53A question for the author or anyone else who has experience in similar solutions. Is there any good solution for discovering new content? Much of the time, I want to stick to my subscriptions, but I do enjoy content surfaced by the algorithm at least once weekly, sometimes more often. My concern in taking my viewing off-platform is twofold: 1) going to YouTube will prompt me with all the stuff I've already watched of…
I've also noticed that I getting more recommendations for small creators with little to no views/subs when I'm browsing from a smaller, developing country.
Re: Show HN: A personal YouTube frontend based on yt-dlp
#54The 'Subscriptions' link at the top left of the Youtube home page only shows the things you subscribed to, just bookmark that.
Re: Show HN: A personal YouTube frontend based on yt-dlp
#55I basically have an even simpler version of something like this for my own personal use too. I found it pretty easy to write in Go and my area of expertise is decidedly not web frontend/backend. I’d recommend it as a fun little project if you’re looking for something to do. For mine, I paste in a video or playlist URL and it downloads the video and creates a lower resolution transcoded version suitable for streaming…
Re: Show HN: A personal YouTube frontend based on yt-dlp
#56Re: Show HN: A personal YouTube frontend based on yt-dlp
#57A question for the author or anyone else who has experience in similar solutions. Is there any good solution for discovering new content? Much of the time, I want to stick to my subscriptions, but I do enjoy content surfaced by the algorithm at least once weekly, sometimes more often. My concern in taking my viewing off-platform is twofold: 1) going to YouTube will prompt me with all the stuff I've already watched of…
But otherwise I agree with your concern. Video recommendations on youtube was far from perfect (very repetitive in my experience), but was uncovering useful stuff.
Re: Show HN: A personal YouTube frontend based on yt-dlp
#58Earlier quoted context omitted.
I view Discovery as a social problem where the content you want is almost always clustered between a relatively small number of creators, regions, etc. Technically it then becomes less of an indexing everything problem and more of a find a few cornerstone creators, say Khan academy, and occasionally branching out. So to answer your question I don’t thing the cost/benefit for automating discovery is much better then s…
There’s a lot of truth to this but one of the most powerful elements of a discovery algorithm is finding things you completely did not look for, ie Christopher Columbus and the western continents. Like your cornerstones are iOS and recipe videos but you discover the right dance video and it changes your whole life.
Re: Show HN: A personal YouTube frontend based on yt-dlp
#59Basically, there should be a video indexing/search/discovery protocol (don't care if it's still http) where random people can submit metadata and a link to a distributed content-addressable system like ipfs. Alternatives to youtube,tiktok,etc.. even platforms like Bluesky can make use of this. Popular videos get more "seeds"/"mirrors" this way. The biggest problem is getting enough interesting content, so the browser extension helps with that, you just click "share in " and you have it locally available as well as available on any of your other devices, and now others can see the content without having to use yt.
Re: Show HN: A personal YouTube frontend based on yt-dlp
#60A question for the author or anyone else who has experience in similar solutions. Is there any good solution for discovering new content? Much of the time, I want to stick to my subscriptions, but I do enjoy content surfaced by the algorithm at least once weekly, sometimes more often. My concern in taking my viewing off-platform is twofold: 1) going to YouTube will prompt me with all the stuff I've already watched of…
If you were to have something local build you an algorithm, what signal would you want it to consume and how far from the median would you want it to deviate? Would you want it to use signal from online socials?
As a first step, a page showing recent youtube links from HN would be nice!