dia injects screenshots, competitive patterns, and design-system signals directly into your coding workflow so the UI stays grounded in evidence, not vibes.
Reference hit-rate
94.2%
Average response
<3s
Indexed patterns
142
Searching for sharp pricing references with tier hierarchy and middle-plan emphasis from curated design platforms.
Match 01
Pricing density
Clear tier separation and restrained copy length.
Match 02
CTA hierarchy
Muted secondary action, high-contrast primary plan.
Match 03
Spacing model
Predictable rhythm between headline, price, and proof.
Evidence: Linear and Vercel use tight spacing with subtle borders for pricing cards.
awaiting next prompt
dia wins when the task needs references that are visually useful, structurally relevant, and immediately actionable inside a product workflow.
Composition-aware matching
Ranks references by layout usefulness, not just textual similarity.
Visual context injection
Returns screenshots and signals that can drive concrete UI decisions.
dia lands materially better references than general-purpose agents.
Lead margin
+45.7 pts
Better than generic
2×
Curated sources
6
Avg response
<3s
dia supplies real screens, interaction flows, and design system patterns so the implementation layer has something concrete to imitate.
Why this matters
The faster the agent sees reference material, the less time the team spends correcting layout drift later.
Search multiple curated platforms in parallel. Get the best screens as images alongside design guidance — from Mobbin, Dribbble, Godly, and more.
Capture any live product's UI — mobile or desktop, full page or viewport. Automatically dismisses cookie banners and modals via Firecrawl.
Build a persistent local library of UI patterns. Tag, search, and recall past research instantly across all your agent sessions.
Deploy an agent to crawl a specific site and extract every instance of a pattern — pricing tiers, headers, or checkout flows.
Pull the system behind the surface: colors, fonts, type scale, spacing, and button styles from any website — instantly.
Have an AI agent click through gated platforms like Mobbin or Godly to navigate filters and extract visual structures.
dia routes visual retrieval through complementary backends depending on whether the target is static, dynamic, or access-controlled.
Firecrawl Engine
Broad search, high-quality screenshots, and design-token extraction for Discovery.
TinyFish Browser Agent
Agentic browsing for gated platforms (Mobbin, Godly), rich filters, and dynamic flows.
await dia.find_inspo({
query: "SaaS dashboard layout",
reasoning: "true",
limit: 5
})
// returns screenshots + design reasoning
// builds your persistent local research index
// grounded in evidence from the live webHow dia handles indexing, privacy, speed, and bot-protected sources in day-to-day use.
Deployment model
Runs as a local MCP server and compounds your own reference memory over time.
dia uses specialized browser navigation techniques combined with clean residential IPs to handle aggressive bot-protection on platforms like Mobbin and Dribbble. If it encounters a hard block, it automatically falls back to standard page retrieval.
dia removes the reference hunt from the workflow. Search, compare, and package visual evidence without leaving the environment where the UI actually gets built.
git clone https://github.com/Ash-Blanc/dia-mcp