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Measured on six things

AI UI design canvas for vibe design – describe, iterate, ...

Accessibility

Design tokens help maintain contrast and scales. Canvas supports multiple viewports. Limited explicit WCAG or screen reader mentions.

Screenshots

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dMaya

About this app

dMaya is a vibe design platform that lets you describe a product in plain language and watch it generate real, editable UI screens on a multi-screen canvas. You can iterate through chat, attach brand files or inspiration images, and when the design is right, share a preview link or export to React + Tailwind code. It supports multiple AI models (Gemini, Claude, GPT, Kimi) with no lock-in, and includes features like design tokens, components, plan and research modes, and a shareable preview chrome for client feedback. Perfect for founders, product people, designers, agencies, and anyone who needs to go from idea to UI fast without manual design work.

Key features

1Multi-screen editable canvas with desktop + mobile frames and variant generation
2Persistent chat iteration, @mentions for assets, Plan & Research agent modes
3Synced design tokens & components + high-quality React + Tailwind code export

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Solo founders and early-stage startups

Pain points

Need rapid UI mockups to test ideas or pitch to investors, but lack design skills or budget for a designer.

Primary needs

Fast, editable UI generation from text descriptions; ability to iterate quickly; no design experience required.

Demographic

Product managers and operators

Pain points

Spend too much time in design review cycles, waiting for mocks or handoff; need to communicate product vision visually.

Primary needs

Collaborative design canvas with comments; version control; shareable previews; code export for engineering.

Demographic

UX/UI designers and agencies

Pain points

Manual screen creation is time-consuming; clients often request many changes; need to maintain design consistency.

Primary needs

AI-assisted screen generation; design tokens and reusable components; multi-model support; export to code for handoff.

Demographic

Marketers and growth teams

Pain points

Need landing pages and product screenshots quickly for campaigns, but design resources are scarce.

Primary needs

High-quality UI mockups from simple descriptions; brand consistency; exportable assets.

Scout Review

Written by AI from measured evidence, scored out of 100.

dMaya is one of the more mature AI UI tools in 2026. Its multi-screen canvas, persistent chat, synced tokens/components, and high-quality React + Tailwind export make it more than a novelty. It's particularly strong for rapid iteration and client collaboration without requiring Figma expertise. While not perfect (credit costs, occasional AI drift), it delivers on the promise of going from plain-language description to editable, exportable UI faster than traditional design workflows. Solid choice for startups, agencies, and product operators who value speed and consistency over pixel-perfect manual control.

Measure by measure

Usability

Plain language prompts, persistent chat iteration, @mentions for references, plan/research modes, and ⌘K search make it intuitive even for non-designers. Preview links are client-friendly.

Design

Beautiful multi-screen canvas with synced design tokens, components, and clean frames for desktop/mobile. Inline editing and visual variants feel premium and cohesive.

Speed

Generates screens quickly with fast models like Gemini Flash. Credit system (22 per screen) and model selection balance speed vs quality. Multi-screen output is efficient.

Security

Shareable preview links without requiring accounts. No major red flags mentioned. Enterprise-level details not highlighted on site.

Accessibility

Design tokens help maintain contrast and scales. Canvas supports multiple viewports. Limited explicit WCAG or screen reader mentions.

Growth

Strong for solo founders and PMs needing fast mocks. Growing in agency/freelance space. Multi-model support and React+Tailwind export aid adoption. Credit-based pricing may limit heavy teams.

Improvement areas

Credit system can feel punitive on complex projects or when using premium models
Limited built-in accessibility validation or automated QA for generated UIs
Heavy reliance on chat can slow down users who prefer direct visual editing

Design & Usability

dMaya nails the 'vibe design' promise with a polished multi-screen canvas that feels more like a real design tool than a prompt playground. You describe a product, attach brand assets or inspiration, and it spits out editable screens in desktop and mobile frames. Chat iteration is persistent and contextual, with @mentions for referencing files or previous screens. Design tokens (colors, typography, spacing) are declared once and sync everywhere—huge for consistency. Components stay reusable. Inline edits (AI or manual) and variant generation reduce friction. It's genuinely usable for non-designers while giving pros enough control. Compared to pure text-to-image tools, this feels like a proper workspace.

Speed & Security

Generation is snappy on default models (Gemini Flash), with most screens appearing in seconds. Premium models like Claude Opus or GPT-5.5 deliver better results at higher credit cost (up to 10x). The credit system (roughly 454 designs/month on Pro) is transparent but can add up. Security is adequate for previews and sharing, though no SOC2 or advanced controls are prominently advertised. Export to clean React + Tailwind is a standout—production-quality rather than placeholder code. This combination of speed and reliable handoff sets it apart from tools that only output pretty pictures.

Accessibility & Growth

Token system indirectly supports accessibility through consistent scales and colors, but there's little evidence of built-in contrast checking or ARIA generation. Growth potential is high for solo founders, product teams, and agencies who need to move from idea to investor-ready mocks or client previews quickly. The lack of model lock-in (Gemini, Claude, GPT, Kimi) is smart. Target users—founders without design budgets, PMs tired of review cycles, marketers needing landing page assets—will appreciate the preview chrome and version-like canvas. It's positioned well against more rigid tools, though heavier teams may find credit limits constraining.

Conclusion

If you're a solo founder pitching next week or an agency juggling client revisions, dMaya can genuinely accelerate your process. It's not replacing senior designers, but it removes the blank-canvas problem and the endless handoff loops. Worth trying if your workflow involves lots of 'what if we tried this vibe?' conversations.

Suggestions for improvement

Add built-in contrast checker and basic accessibility audit on generated screens
Introduce a true free tier or generous trial credits to lower the barrier for testing
Expand code export options (e.g. Next.js, Vue, or design system integration)
Better mobile preview simulation and real-time collaborative editing on canvas

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	dMaya	Figma AI	Galileo AI	Uizard	google stitch
Text-to-UI Generation	Multi-screen canvas + persistent chat iteration	Prompt-based inside Figma, strong integration but less standalone canvas	Fast text-to-editable designs, now evolved into Google Stitch	Strong text + sketch-to-UI, good for wireframes	Google's AI design tool (ex-Galileo), prompt + image to Figma/code
Code Export	Production-quality React + Tailwind for screens & components	HTML/CSS and integration with coding tools via MCP	Clean code export, Figma plugin support	Code export available, quality varies	HTML/CSS code export
Collaboration & Previews	Shareable preview links (no account needed), comments, canvas-based	Native Figma collaboration, real-time	Limited native collab, better as Figma companion	Real-time collaboration, Figma plugin	Exports to Figma for collaboration
Model Flexibility	Multiple models (Gemini, Claude, GPT, Kimi), agent chooses, no lock-in	Primarily Figma's integrated AI models	Uses various models, now under Google/Gemini	Proprietary AI models	Powered by Gemini