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Show HN: HN Update – Hourly news broadcast of top HN stories

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596 points yunusabd | 1 comments | 20 Oct 24 07:10 UTC | HN request time: 0.205s | source

I feel like it was inevitable, with the recent buzz around NotebookLM. I'm just surprised that it hasn't been done yet.
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andai ◴[20 Oct 24 22:32 UTC] No.41899047[source]▶
Brilliant idea. I think this has real value as well: as I get older, I find that I have less energy for reading, but I also notice I often miss really cool stuff that was briefly on the front of HN.

I like that it summarizes the comments too. There are often real gems buried in there. (I assume you're only taking a few top ones?)

I think a great improvement could be made with personalization. Most of what's on the front page isn't personally relevant to me, and there's a lot of cool stuff on the new submissions page that never catches on. So it would be nice if a system could learn what kind of stories I personally respond to, and show me (a summary of?) those -- even if they aren't currently trending.

Last.fm came out 20 years ago (proving you don't even need AI for amazing recommender systems), but it seems personalizing your experience never really caught on. (Yeah, the YouTube algorithm kind of does this, but you unfortunately have no real control over it.)

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1. yunusabd ◴[21 Oct 24 00:57 UTC] No.41899795[source]▶
Thanks for the comment, I'm really enjoying the discussion it has sparked.

Yes, I'm just taking the top comments, along with a few child comments, in order to not exceed the context window of the model.

Regarding personalization, there's definitely lots of potential. HN can be so random though, sometimes you find things that you didn't even know you needed (intellectually). I guess as with most recommender systems, it's about a balance between exploration and exploitation. Maybe an MVP could filter for specific keywords and add those posts to the model input.