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Refs

A searchable archive of 3,033 films, measured cut-by-cut into blueprints and prompts that help Claude and other AI agents build better video.

3,033 films archived67,703 shots measured28 formulas across filmsMCP for Claude Code, Codex and CursorFilms studied from Apple, Google, OpenAI, Anthropic and more
Category
AI reference library / motion design data infrastructure for AI agents
Business model
Freemium subscription; free users can browse and see partial data, while Pro unlocks full measurement blueprints, prompt recipes, formulas and MCP integration
Stage
Launched product with active Product Hunt launch; funding stage unknown
Target audience
Founders, developers, motion designers and AI-assisted video creators who use Claude Code, Codex or Cursor to produce product launch films, motion design showreels and landing videos
Opportunity score
52/100

A clever AI-agent-native reference play with a real data asset, but narrow demand, low ARPU and unproven retention cap near-term upside.

Founder verdict
MAYBE

A clever AI-agent-native reference product with a real data asset, but too early to prove willingness to pay and broad category demand.

What is Refs?

Refs is a specialized reference library for AI-assisted motion design. It takes short product films, launch videos and visual stories, measures them frame by frame into cut maps, shot timing, beats and formulas, then turns those measurements into prompt recipes that Claude Code, Codex or Cursor can run to generate new work. The positioning is sharply aimed at founders and developers who already use coding agents to create product films, and the product's core insight is that Claude is only as good as the references you give it. Revenue, growth and team size are not publicly disclosed, but the product is publicly launched with a freemium model: free browsing, with Pro at $10/month billed yearly or $16 monthly for full blueprints, recipes, formulas and MCP credits. Its strongest asset is the structured data moat created by measuring thousands of films, though its long-term defensibility and willingness to pay are still unproven.

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