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634 points david927 | 1 comments | | HN request time: 0.209s | source

What are you working on? Any new ideas that you're thinking about?
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kolleraa ◴[] No.41343559[source]
I'm working on a web app that helps you discover books, movies, TV shows, video games, and songs that you'll like. The app makes it super easy to describe what you're looking for and then gives you a unique set of 10 suggestions on each run.

It's the first solo project I've done in many years and I'm having a great time learning. I've also been able to get some great recommendations for myself and it's fun to use!

https://www.yogurrt.com/

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SomaticPirate ◴[] No.41344261[source]
I’m really curious how this works! Obviously I don’t want you to disclose anything you don’t want to.

I assume its some sort of ML? Are you using an external LLM? Any insights into building recommendation systems would be awesome!

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hoqqanen ◴[] No.41349471[source]
The results of the categories look similar to what happens when prompting ChatGPT with "describe a list of {genres/moods/etc.} for <content>". Also the links are all for query pages on amazon/spotify/etc, which says LLM to me (rather than a database). This dynamic schema generation -> UI supported query builder seems like a really interesting direction. I'd love to see it for the web more generally and I bet Exa.ai+LLM of choice would be a pretty good place to start. If it's an LLM I'm curious about hallucination rates and excited for future web-level RAG in only returning real objects.

Also you can supply content which doesn't exist and it will automatically infer genre and such (another strong indication of LLM). I.e. you can imagine the aesthetics of the kind of content you might want by title and then use the UI to explore real recs related to that.

PS to the creator: I love the simplicity of the design and the execution is inspiring. Sent a dollar for my searches :-)

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1. kolleraa ◴[] No.41350913[source]
You are spot on :) - including about potential additional and broader use cases for this kind of UI. Hoping I can explore that more. Thanks for the tip about Exa.ai!

Also, I'm sincerely flattered that you like the design and execution. Thank you for that and for your contribution!