I Built a Python script that uses a local Ollama LLM to automatically find and add movies to Radarr.
It picks random films from your library, asks Ollama for similar suggestions based on theme and atmosphere, validates against OMDb, scores with plot embeddings, then adds the top results to Radarr automatically.
Examples:
- Whiplash → La La Land, Birdman, All That Jazz
- The Thing → In the Mouth of Madness, It Follows, The Descent
- In Bruges → Seven Psychopaths, Dead Man’s Shoes
Features:
- 100% local, no external AI API
- –auto mode for daily cron/Task Scheduler
- –genre “Horror” for themed movie nights
- Persistent blacklist, configurable quality profile
- Works on Windows, Linux, Mac
GitHub: https://github.com/nikodindon/radarr-movie-recommender
I would say there is a lot of truth to that statement. The backlash is immediate and punishing. I’ve said before, I think there are a lot of young devs who would like to contribute to the opensource/selfhosting community, but lack the experience.
We also have issues with young people in the industry. As some junior developer stuff is now done by AI, we’re lacking more and more positions to start in, and learn the ropes. And you can’t start out as a senior, either. So that got more complicated as well.