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PAVL

Psychological Movie recommendation System

Streaming algorithms guess based on your flawed watch history. PAVL calculates. We replaced emotional ambiguity with math. ​Answer 24 moral movie-based questions to build a true psychological archetype. Every swipe recalibrates your vector in real-time. ​Standouts: - ​Profiling over history. - swipeable deck of recommendations ​- An asynchronous Pair Mode that calculates the exact mathematical intersection of two users to end living room arguments. - separate solo and pair watchlists

Top comment

Conventional streaming algorithms are stupid.
They don't learn from your taste; they learn from your flawed watch history and push whatever the corporation wants to sell you today.
I got tired of this, so I replaced emotional ambiguity with mathematics.

I built PAVL.

How it works:
The app forces you through 24 psychological and moral scenario questions. It calculates your archetype and hands you a deck of films you can actually tolerate. Every swipe recalibrates your vector in real-time. If you lie on the quiz to appear more intellectual than you are, the math will notice.

Why I am here:
I am entering the Closed Beta phase. I need biological error sources to stress-test the system under real-world conditions. I need you to break the passwordless Passkey login, crash the asynchronous Pair Mode, and push the TMDB API integration to its limits.

About PAVL on Product Hunt

Psychological Movie recommendation System

PAVL was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #38 on the daily leaderboard. Streaming algorithms guess based on your flawed watch history. PAVL calculates. We replaced emotional ambiguity with math. ​Answer 24 moral movie-based questions to build a true psychological archetype. Every swipe recalibrates your vector in real-time. ​Standouts: - ​Profiling over history. - swipeable deck of recommendations ​- An asynchronous Pair Mode that calculates the exact mathematical intersection of two users to end living room arguments. - separate solo and pair watchlists

On the analytics side, PAVL competes within Android, Movies and Social Networking — topics that collectively have 73.9k followers on Product Hunt. The dashboard above tracks how PAVL performed against the three products that launched closest to it on the same day.

Who hunted PAVL?

PAVL was hunted by der_kney. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of PAVL including community comment highlights and product details, visit the product overview.