Modeinspect
The AI-native way to design production-grade UI.
Design Tools·AI & Machine Learning
About
The AI-native way to design production-grade UI.
Mode is the AI design canvas for shaping product UI directly in your codebase.
Design in code on a visual canvas
Mode turns your product’s codebase into editable canvas frames. Refine real UI with visual controls, experiment with AI then share or hand off for review.
EXPLORE
Start from a product screen or blank frame and explore directions with Al.
DESIGN CONTROLS
Prototype your interface on a canvas with familiar layout and style controls.
BUILD
Build any design into a live prototype with your real design system, tokens, and components.
SHARE AND REVIEW
Share the live prototype for feedback, then send engineering a PR with pixel-perfect changes.
Key Features
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1:1 Component Sync: Directly use your existing design system components, variants, and states within the visual canvas.
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Token Enforcement: Automatically applies your design tokens to maintain brand consistency without manual intervention.
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Code-First Design: Changes made on the canvas generate clean, type-safe pull requests, eliminating the need for separate design specs and documentation.
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AI Assistance: Utilize AI to explore design variants, refine styles, or adjust content while staying within your production environment.
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Live Data Prototypes: Prototype using real product data to ensure designs handle edge cases and dynamic states correctly.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
The biggest mistake in web2app is treating it as a binary. Web2app versus app install is not the question. The question is: where is this user coming from and what context are they in? Match the journey to that context. Sometimes that means web. Sometimes that means the App Store.
Context of the ad placement matters more than web vs app choice — match the journey to traffic source
Petit's framework is traffic-source-first: Facebook and Google search users may convert fine through direct app install because they're in high-intent, familiar territory. TikTok users, Outbrain users, or cold display traffic are in lower-intent, lower-trust contexts where a landing page warms them before asking for an app install. The web landing page's job is context bridging, not fee avoidance.
We still have a million daily new installs and as I say half of those are reinstalls. It's worth for us to keep the content furnace and the virality going and not jeopardize it by trying to extract too much value.
Protecting the core game from hard monetization preserves word-of-mouth that sustains 1 million daily installs 13 years in
Subway Surfers founders set a non-negotiable rule: the core run is always free, players can always progress, and aggressive monetization walls are off the table. Thirteen years later, 1 million new installs arrive daily — half of them reinstalls from people who still think of it as their go-to game. The refusal to squeeze every dollar protects the viral word-of-mouth and TikTok-shareability that makes it discoverable to a new generation of players every year at zero paid acquisition cost.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
1Hey 👋 I’m Alex and I run growth at Mode. We built Modeinspect because product design shouldn’t have to stop at a picture of the product. Unlimited free tokens for launch. I’d love to hear thoughts <3