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Show HN: A personal YouTube frontend based on yt-dlp

(github.com)
319 points modmodmod | 2 comments | 15 Mar 25 15:45 UTC | HN request time: 0.42s | source
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greggyb ◴[15 Mar 25 18:17 UTC] No.43374252[source]▶
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 off platform, and 2) any changes to my viewing habits won't be reflected in algorithmic suggestions.

Am I making any bad assumptions or missing anything that would be useful?

As an example, I usually get conference presentations surfaced for me, but I don't track conferences to know when I should go looking for presentations. YouTube is good at surfacing these for me.

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siavosh ◴[15 Mar 25 18:29 UTC] No.43374323[source]▶
I looked into this as well since I find the YouTube algorithm terrible, but couldn’t find any API for exploration. Which makes sense they want to control what you watch and hence monetize. In a perfect world you could just pick an open source recommendation algorithm from a marketplace and YouTube would just be a wrapper around s3 buckets and some index.
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1. bluebarbet ◴[15 Mar 25 19:28 UTC] No.43374644[source]▶
An even more perfect world would not have S3 buckets.
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2. toomuchtodo ◴[15 Mar 25 19:30 UTC] No.43374650[source]▶
You have to store bits somewhere, and an S3 compatible target optimizes for flexibility and optionality. It can be local (Minio), it can be remote, the client does not care where it is. Even the Internet Archive's API is S3-ish.