behind @mobbin's new homepage: 31 dead headlines, 269 figma comment threads, one fake testimonial, zero process. wrote up the full story here. if you ship things with AI and other humans in 2026, you'll feel seen →

I gave my AI access to 600,000 real app & web screens. Here's the workflow: 1. Connect @mobbin MCP to your AI (I used Claude, works w/ Codex, Cursor, Antigravity too) 2. Ask it to research how top apps in your industry design what you're building (eg. fintech onboarding) 3. Ask it to compile the findings into a visual report 4. Build, but give it context first: Attach the report, a spec or PRD, your design system the result - without the MCP: generic output - with the MCP: Claude picks up the industry context, sees the end-to-end flow, considers the edge cases. Think of Mobbin MCP as a librarian, not a designer. It hands your agent a library card to 600K+ real screens, full flows and animations from products already shipped. Your agent sees what good looks like, then gives you a starting point to build on. here's the full workflow + detailed prompt 🔍 'mobbin' on youtube

We studied 2,995 paywalls. Interviewed 'The Paywall Guy' @jondeparra, who's designed 4,700+ paywalls. Analyzed 728 subscription flows on @mobbin. We found these and more: → An ugly paywall could outperform a pretty one → More friction could increase conversions → Users often decide to pay before they reach the paywall → Multi-page paywalls > single-page paywalls In this video, we break down: → real a/b tests → examples from best-in-class apps → paywall placement strategy → pricing + packaging → value framing → reducing risk → timing → copy This is one of the most research-heavy videos we've made. 🔍 'mobbin' on youtube

while everyone debates whether AI will replace designers, designers are using it for everything but generating UI. 5 ways to use @mobbin mcp as a context engine (no slop), for @dribbble

when @ManusAI meets @mobbin, the hardest part is picking which use case to show first. competitive teardowns, pricing audits, a retro digicam app from scratch...we had fun with this one. click through for prompts 👇

"How do the top products handle this?" Every builder has asked this, and it usually means a week of screenshots and a shared doc. Give @ManusAI access to @Mobbin and it does the research for you, and more. Go from: — KYC onboarding across 10 fintech apps → stakeholder deck — Camera app research → working retro digicam prototype — Pricing page audit → annotated recommendations on your design — 10 language learning apps → competitive pattern atlas Save this thread.

ICYMI: we now have 3 tools to search across 3 types of content on @mobbin mcp - search_screens: search for app screenshot reference for ios/web - search_flows: search for app screenshot sequences for ios/web - search_sections: search for snippets of section on websites such as marketing pages, landing pages, etc.

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:

just launched: @mobbin mcp 💛 your AI agents can now search 600,000+ real app screens. paywalls, onboarding, checkout, permissions — from apps that already shipped. ai tools can write code. they just don't know what good looks like. now they do. 👉

got @claudeai to design a banking kyc flow using the @mobbin mcp with just 3 messages. what it did under the hood: 1️⃣ search mobbin for top banking app's kyc screens 2️⃣ analyse and enumerate common industry/domain specific patterns observed 3️⃣ build UI using those patterns