[kolleraa]

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/

[2143]

It's a very cool idea.

However, I gave it "Jane Eyre" (a mid-19th century novel by Charlotte Bronte; it's a classic) with the expectation that it will return "Wuthering Heights" – another a classic novel written in mid-19th century by Emily Bronte (yes the authors are related) – among other things. People who like Jane Eyre tend to like Wuthering Heights, and vice versa.

But everything it returned were new works – published in the last 20 years – of stories that are set in the 19th century.

The only filters applied were: "Preferred: Gothic romance novel, Victorian literature, Highly influential classic literature, Early 19th-century England ".

So, something seems amiss for now. Nevertheless, it's a very cool idea.

(Edited to fix my grammar; English is not my first language, so pardon me for any mistakes.)

[kolleraa]

Thanks for the feedback!

This is happening because I intentionally added a strong bias for more recent books. I thought that's what most people would be looking for - at least for fiction - and I also assumed there were other good ways to discover older books (lists, collections etc).

You're absolutely right though, it should give you some Victorian lit given your preferences! I'll work on addressing this.

[glayciar]

This is amazing, bookmarked and will try and use it to discover some new artists.

It seems to reverse the song/artist names occasionally. For example I've got a recommendation of 'Russian Circles' by Harper Lewis, but it should be 'Harper Lewis' by Russian Circles.

It is also telling me the song 'Ten Billion People' is by As I Watch You From Afar (who have a song called '7 Billion People all Alive at Once'), however it's from Explosions in the Sky.

[themingus]

Reminds me of GNOD’s Music Map. https://www.music-map.com/

I really appreciate Apple Music links being listed instead of just Spotify.

[kaspermarstal]

Omg instantly bookmarked.

How to find "Military science fiction series" that are "Complex and Strategic" and includes "Space battles and tactics", "Action-packed sequences", "Strategic dialogue", "Multiple book series expansions", "Futuristic space environment", "Spaceships and battle fleets"? Use yogurrt. Never found it so easy to narrow down my interests and find new books. Thanks!

[A4ET8a8uTh0]

Bookmarked. It actually does seem to work well for the items I have selected. I actually got some interesting hits I feel compelled to look up now ( nice call on adding purchase link -- unobtrusive way to monetize it ).

Nice work!

[tillcarlos]

This works surprisingly well. Just shared it with my sci fi group.

Idea: make an email opt-in and then new releases based on old preferences. My use case is always to go to DVDs/netflix releases, filter for sci fi and then high IMDB.

[SomaticPirate]

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!

[hoqqanen]

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 :-)

[kolleraa]

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!

[grif-fin]

Also curious to know what's sharable under the hood. Getting good results, looks good.

[emrah]

This is a huge gap we have these days. Everything out there is incentivized to suggest the most selling stuff rather than unique and interesting stuff.

[kolleraa]

Yeah, this is definitely an important aspect of the problem I'm hoping to solve. I've found that selecting interesting preferences yields some interesting, non-obvious results "out of the box" - but if you really want to go off the beaten path try selecting the "Little known" preference under Other (and make it Required).

[netcoyote]

This is great! I’d encourage you to add buttons for values larger than $1!

[highdeserthackr]

Very nice! Just snagged a number of scifi titles it identified.

[WaitWaitWha]

interesting.

Considered tying it into LibraryThing?

Although they have a recommendation section, I am always open to new suggestions. I would also like to steer it to some general direction.

[WillAdams]

c.f.,

https://www.literature-map.com/

[rufi]

well done.. i was thinking of same from long time.. great to find this.. will be using this.