PAVL
Psychological Movie recommendation System
What it does
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
Does the same job
all alternatives →
- RARecommendarr – AI Driven Recommendations Based on Sonarr/Radarr Media2025 · github.com · ▲88
Hello HN! I've built a web app that helps you discover new shows and movies you'll actually enjoy by: - Connecting to your Sonarr/Radarr/Plex instances to understand your media library - Leveraging your Plex watch history for personalized recommendations - Using the LLM of your choice to generate intelligent suggestions - Simple setup: Easy integration with your existing media stack - Flexible AI options: Works with OpenAI-compatible APIs like OpenRouter, or run locally via LM Studio, Ollama, etc. - Personalized recommendations: Based on what you actually watch. While it's still a…
- OSOpen-source model and scorecard for measuring hallucinations in LLMs2023 · vectara.com · ▲65
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
- MAMoodflix – a movie recommendation engine based on your mood2023 · share.streamlit.io · ▲6
Last week I released Moodflix (https://moodflix.streamlit.app), a movie recommendation engine based to find movies based on your mood. Moodflix was created on top of a movie dataset of 10k movies from The Movie Database. I vectorised the films using Hugging Face's T5 model (https://huggingface.co/docs/transformers/model_doc/t5) using the film's plot synopsis, genres and languages. Then I indexed the vectors using hnswlib (https://github.com/nmslib/hnswlib). LLMs can understand a movie's plot pretty well and distill the similarities…
- PRPersonalized Recommendations on Simkl for Movies, TV Shows and Anime2024 · simkl.org · ▲11
Personalized Recommendations: Tailored Just for You! Ever felt lost in the sea of TV shows, anime, and movies ? We’ve all been there. But guess what? Those days are over. Say hello to Personalized Recommendations. This isn’t just any update; it’s your ticket to a curated watchlist that feels like it was handpicked by your best friend who knows your taste inside out. Uses two separate recommendation engines — each serving up not just tens but hundreds, and sometimes even thousands, of personalized picks to which you can apply your preferred sorting and filters to narrow down exactly what you…
More life & fun this month
the category →- TL
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Photosynthesis fires two of your iPhone
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Scroll through all 43,252,003,274,489,856,000 reachable Rubik's Cube permutations.
Life & fun · 27d ago · everycube.alen.is
Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
Life & fun · 27d ago · baselashraf81.github.io
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com