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Pick My Film vs ZeroClaw

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Pick My Film compared with ZeroClaw
DetailPick My Film logo Pick My FilmZeroClaw logo ZeroClaw
What it doesFind your perfect film by answering questions about your mood, time and taste A lightweight, secure personal AI agent you run on your own machine with your keys or local models
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree Open source
PricingNot given Free and open source. No subscription. Pay only your own LLM provider costs, or nothing if you use a local model with Ollama.
Key features
  • Answer 10 smart questions to receive personalized recommendations
  • MoodMATCH: film matching based on your mood
  • GenreMATCH: recommendations by film genre
  • StoryMATCH: recommendations by story type
  • Watchlist and Favorites feature to save films
  • 70+ LLM provider support including Ollama, OpenAI, Anthropic, and OpenAI-compatible endpoints
  • 30+ communication channels including Telegram, Discord, WhatsApp, Slack, Signal, iMessage, email, and Matrix
  • Supervised autonomy with approval-required and blocked action modes
  • OS-level sandboxing with Landlock, Bubblewrap, Seatbelt, or Docker
  • Cryptographic tool receipts with HMAC-SHA256 signing
  • Single native Rust binary with no runtime dependencies
  • Millisecond cold start in approximately 12 milliseconds on Apple Silicon
  • Command allowlists and workspace scoping to control what runs
  • Runs on ARM and x86 from Raspberry Pi to cloud VMs
  • Memory footprint less than a browser tab
What makes it different
  • Smart matching algorithm that analyzes mood, interests and desires through guided questions
  • Takes approximately 2 minutes to complete the recommendation process
  • Completely free to use with no account required
  • Adaptive questionnaire that adjusts questions based on previous answers
  • Fully owned on your machine with your own keys or local models, no cloud seat or subscription
  • Security by default with supervised autonomy, sandboxing, and cryptographic receipts rather than as an add-on
  • Lightweight native binary architecture with millisecond startup and minimal memory overhead
  • 70+ LLM providers and 30+ channels in a single deployable binary
  • Open source under MIT or Apache-2.0 with active development and monthly releases
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check57 no change since last check
Trust Flow (Majestic)010
Citation Flow (Majestic)1243
Referring domains (Majestic)3345

4 details filled in for both companies.

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