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Loracle
Stop AI from hallucinating your design system components
AI coding agents don't know your design system. They guess which components to use, pick the wrong ones, and produce inaccurate UIs. • Loracle Understands your components, including props, behavior, use casesand what each component looks like. • Loracle helps any coding agent to find the right component, allowing them to accurately find the component it needs • Loracle any coding agent to product on-brand UIs using your component library. Any framework. Any library size. Free tier included.
Hey Product Hunt! I'm Boris, the maker of Loracle.
I built this because I kept watching AI agents hallucinate component names from our 150+ component library. They'd invent when we had , or add props that never existed.
The core insight: AI agents need a way to *search* your actual design system, not guess from training data. Loracle scrapes your Storybook, creates multimodal embeddings (including screenshots), and serves results via MCP so any coding agent can find the right component.
What makes this different from Storybook's built-in MCP: we use semantic search with AI-enriched embeddings, not a static manifest dump. This matters a lot when you have 100+ components.
Would love your feedback — what would make this useful for your team?
About Loracle on Product Hunt
“Stop AI from hallucinating your design system components”
Loracle was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #147 on the daily leaderboard. AI coding agents don't know your design system. They guess which components to use, pick the wrong ones, and produce inaccurate UIs. • Loracle Understands your components, including props, behavior, use casesand what each component looks like. • Loracle helps any coding agent to find the right component, allowing them to accurately find the component it needs • Loracle any coding agent to product on-brand UIs using your component library. Any framework. Any library size. Free tier included.
On the analytics side, Loracle competes within Design Tools, Developer Tools and Vibe coding — topics that collectively have 772k followers on Product Hunt. The dashboard above tracks how Loracle performed against the three products that launched closest to it on the same day.
Who hunted Loracle?
Loracle was hunted by Boris Litvinsky. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Loracle including community comment highlights and product details, visit the product overview.
Boris Litvinsky