Hard Pass

I just pushed v22 of my project : a local AI companion for Radarr, that goes beyond generic genre or TMDb lists.

This isn't "yet another recommender". It's your personal taste explorer that actually gets the vibe you want in natural language and builds recommendations starting from your existing library.

Key highlights from a real recent run:

• Command: --mood "dystopian films like Idiocracy, Gattaca or In Time"
• Output: Metropolis (1927), V for Vendetta, Children of Men, Brazil (1985), Minority Report, Dark City, Equilibrium, Upgrade, The Road... → oppressive/surveillance/inequality/societal critique atmosphere, not just "dark sci-fi".

How it works :

• Starts by sampling random movies from your Radarr collection (or uses your mood/like/saga input).
• Asks a local Ollama LLM (e.g. mistral-small:22b) for 25 thematic suggestions based on atmosphere/vibe.
• Validates each via OMDb (IMDb rating, genres, plot, director, cast...).
• Scores intelligently: IMDb rating + genre match + director/actor bonus + plot embedding similarity (cosine on Ollama embeddings).
• Adds the top ones directly to Radarr (with confirmation: all / one-by-one / no).
• Persistent blacklist to avoid repeats.

Different modes :

• --mood "dark psychological thrillers with unreliable narrators" , any vibe you describe
• --like "Parasite" --mood "mind-bending class warfare" (or just --like "Whiplash")
• --saga (auto-detects incomplete sagas in your library and suggests missing entries) or --saga "Star Wars"
• --director "Kubrick" / --actor "De Niro" / --cast "Pacino De Niro" (movies where they co-star)
• --analyze → full library audit + gaps (e.g. "You're missing Kurosawa classics and French New Wave")
• --watchlist → import from Letterboxd/IMDb
• --auto → perfect for daily cron / Task Scheduler (wake up to 10 fresh additions)

Standout features:

• 100% local + privacy-first (Ollama + free OMDb API only)
• No cloud AI, no tracking
• colored console output, logs, stats, HTML/CSV exports
• Synopsis preview before adding
• Configurable quality profile, min IMDb, availability filters
• Works on Windows, Linux, Mac

GitHub (clean single-file Python script + detailed README):
https://github.com/nikodindon/radarr-movie-recommender

If you're tired of generic Discover lists, Netflix-style randomness, or manual hunting give it a spin. The vibe/mood mode + auto saga completion really change how you expand your collection.

Let me know what you think, any weird mood examples you'd like to test, or features you'd want added!

PewDiePie’s AI ambitions have finally become a reality after months of documenting his journey into building his own free AI platform.

As revealed in a video titled “MY trillion $Dollar Project is finally OUT!”, PewDiePie has officially launched Odysseus, a free self-hosted AI workspace designed to give users an alternative to popular platforms like ChatGPT and Claude.

Over the last year, the YouTuber has been diving deep into AI development, building custom systems to run open source models on his own hardware, and aiming to create a tool that offered the same convenience as mainstream AI platforms without relying on cloud services or handing data over to major tech companies. Well, now that project has finally arrived. PewDiePie launches free self-hosted AI workspace Odysseus

According to the official description, “Odysseus is a self-hosted interface for talking to language models – chat, autonomous agents, tools, model serving, email, research, and more. Local-first, privacy-first, and no telemetry. Just you and your models.”

The interface is essentially designed as an all-in-one AI workspace where users can connect local models or external APIs, run autonomous AI agents, perform deep research tasks, compare multiple model outputs side by side, and manage documents directly inside the platform.

In the launch video, PewDiePie showcases the interface’s various features, demonstrating how it can handle research tasks, manage conversations, and operate as a private AI assistant without relying entirely on third-party services.

Despite all that, a major focus of the platform is privacy. Odysseus is marketed as a local-first experience, meaning users can keep their conversations, files, and personal data on hardware they control rather than sending everything to external servers.

The project is also completely open source and free to use. On the website, PewDiePie describes it as having “No sales team, no demo request, no Trojan horse,” while encouraging users to download, modify, and host it themselves.

That philosophy was summed up during the launch with one of the project’s most direct messages aimed at major AI companies: “The war on big tech has just begun.”