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Imagine your AI doing design research before generating UI. Studying real screens and user flows instead of guessing That’s Refero MCP

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Mike Bespalov

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151,714 просмотров • 5 месяцев назад •via X (Twitter)

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UI/UX Designers and Developers, you need to see this. If you’re doing UI implementation for iOS apps, you absolutely need this. Mobbin lets you explore 621,500+ screens from real apps and see exactly how: ・User flows progress ・Screens transition ・UI details are designed ・Animations work It’s basically a massive visual library for researching how real apps handle UI before you start implementing. If you’re going to research UI before building, this is a must-have. Bookmark it for later 💜
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UI/UX Designers and Developers, you need to see this. If you’re doing UI implementation for iOS apps, you absolutely need this. Mobbin lets you explore 621,500+ screens from real apps and see exactly how: ・User flows progress ・Screens transition ・UI details are designed ・Animations work It’s basically a massive visual library for researching how real apps handle UI before you start implementing. If you’re going to research UI before building, this is a must-have. Bookmark it for later 💜

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What if AI could design with taste - powered by the best real-world design resources on demand? We’ve embedded a design search engine directly into the SuperDesign.Dev agent, partnering w/ Mobbin It contextually pulls relevant user flows, UI patterns, and vertical-specific mocks from curated sources like Mobbin, Dribbble, Behance, and more. Better input → better output. No generic AI gradients. Just real, proven design patterns - instantly remixable.
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What if AI could design with taste - powered by the best real-world design resources on demand? We’ve embedded a design search engine directly into the SuperDesign.Dev agent, partnering w/ Mobbin It contextually pulls relevant user flows, UI patterns, and vertical-specific mocks from curated sources like Mobbin, Dribbble, Behance, and more. Better input → better output. No generic AI gradients. Just real, proven design patterns - instantly remixable.

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Mobbin MCP is here. Think of it as giving your AI a library card to 600k+ screens & 300k+ flows. Paywalls, onboarding, checkout, permissions — from apps that already shipped. Works with Claude, ChatGPT, Cursor, and more. Available on all paid plans:
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Mobbin MCP is here. Think of it as giving your AI a library card to 600k+ screens & 300k+ flows. Paywalls, onboarding, checkout, permissions — from apps that already shipped. Works with Claude, ChatGPT, Cursor, and more. Available on all paid plans:

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HE TURNED A $9,000 UI HANDOFF INTO A 3D SAAS INTERFACE IN 30 MINUTES this guy didn’t build another flat dashboard, he built a living 3d workspace with Claude Code reading the structure, logic and components instead of guessing from screenshots Moonchild makes the design system first: tokens, spacing, cards, charts, navigation, typography, then Claude turns it into a working React app through MCP 2 tools, 1 design system, 8+ screens and a second Claude checking drift while most founders still pay agencies to align buttons by hand save the full breakdown before your next SaaS looks like 6 templates fighting for custody of the same logo ↓
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AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

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Forget Dribbble for UI inspiration 🙅‍♂️ I've been using another tool that has real-world designs. 📚 Huge library of screenshots & flows 📱 Across iOS, Android, and web 🔎 Filter by UI element/pattern 💨 Super quick competitor analysis Link below 👇 #design #ux #uxui #uxdesign

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