Show HN: AI Movie Finder – I created a way to find movies by describing
aimoviefinder.comHi Hacker News,
I'm excited to share a project I've been passionately working on in my spare time: AI Movie Finder (https://www.aimoviefinder.com).
The idea was born out of a simple, yet frequent, frustration: having a movie on the tip of my tongue but being unable to recall the title. All I could remember were fragments – a specific scene, a snippet of dialogue, the general plot, or even just the mood it evoked. Traditional search engines often fell short with these kinds of abstract queries.
So, I decided to build a solution. AI Movie Finder uses a natural language processing model to understand these descriptive and sometimes vague queries. You can type in things like:
"that movie where a guy keeps reliving the same day"
"a sci-fi film with a blue alien opera singer"
"a feel-good movie about a band in the 80s"
The goal is to make movie discovery more intuitive and human-like. Instead of just searching by actors or exact titles, you can search by memory and feeling.
The backend is built with Python and utilizes a fine-tuned sentence transformer model to create vector embeddings for a large movie database. The frontend is a clean and simple interface built with vanilla JavaScript to keep it fast and accessible.
This is still very much a work in progress, and the database is continuously growing. I'm actively working on improving the model's accuracy and expanding the search capabilities.
I would love to get your feedback. Please give it a try and let me know what you think. I'm particularly interested in:
How well does it work for your queries?
Are there any features you think would be a great addition?
Any suggestions on how to improve the model or the user experience?
Thanks for checking it out! I'll be here to answer any questions.
I tried some prompts and it kinda works OK, here are the prompts I tried: 1. A man is stuck in time loop and reliving the same day over and over, and there's a pool, and some goat (Palm Springs) - it showed up as 2nd option 2. a movie where they talk about the mission to the moon and they are working on the live streaming the landing, starring Scarlett Johansson (Fly me to the moon) - didn't find it at all 3. a movie about black slave becoming a free man and a bounty hunter (Django Unchained) - got it
I have some questions: 1. What data are you using and where are you getting them from? 2. What's the advantage to this compared to just using some chatbot? I tried gemini 2.5 pro with the same prompts as above and it got all of them the first try, so theoretically better than yours.
One thing you could add to the UI to improve it would be a link to imdb page for each movie in the results. Also, maybe you could make the example in the hero section functional - it was the first thing I looked at and tried typing my prompt in there, only to realize that's just for the looks. Hopefully this feedback helps you make it better.
I typed in “Kevin!” and it said “Home Alone.” Bookmarked!
[flagged]