Moodflix
Stop endless scrolling. AI movie matches for any mood.
Moodflix launched on March 31, 2026.
What it does
We’ve all been there: spending more time searching for a movie than actually watching one. Moodflix ends the scroll fatigue. Powered by AI, it analyzes the exact mood, vibe, or aesthetic you describe and instantly recommends the perfect film. Whether you want "visually stunning sci-fi that bends reality" or "a comforting 90s rom-com," Moodflix curates your ideal watchlist in seconds. Currently live on Web and accepting pioneer testers for our Android Beta. Stop scrolling, start watching.
Stop scrolling. Pick your mood and get the perfect movie in seconds. Moodflix is the AI movie picker that recommends what to watch based on how you feel — not algorithms, not genres. Free on Android.
Tell Moodflix exactly how you feel. Our AI instantly recommends the perfect movie or show — no more 40 minutes of paralytic scrolling. Moodflix completely reimagines how you discover entertainment. Describe how you're feeling—like 'I need a thriller that will keep me up all night'—and our AI finds the perfect match instantly. Generate stunning generative-art posters showcasing your current movie mood to share directly to your Instagram Story or friends. Stop juggling lists. Keep all the movies and shows you want to watch from Netflix, Hulu, Max in one easily readable place. A gorgeous Neo-Brutalist interface that makes finding popcorn-worthy content actually fun—no more endless scrolling…from moodsflixs.vercel.app
Does a similar job
all alternatives →- IMI made a movie recommendation app based on your mood2021 · mood2movie.com · ▲163
How you feel is everything. Try our movie recommendation engine based on your feelings.
- 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…
- IMI made a movie recommendation app based on your mood2025 · moodiemovie.top · ▲5
I built MoodieMovie, a web app that recommends films based on how you're feeling right now. Select emotions like "cheerful," "reflective," or even "weird," and get curated movie suggestions that match your current state of mind. Features: Mood-based algorithm that actually works (no more scrolling endlessly through streaming services) Magazine-style TOP100 section showcasing essential cinema Simple, intuitive UI with smooth animations Detailed movie pages with shareable links Tech stack: Next.js, Framer Motion, and a custom algorithm that maps emotional states to film characteristics. All…
Facesfilm: movies for the mood2021 · facesfilm.tilda.ws · ▲24Your face knows what do you want to see
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