Hi Product Hunt - I am Tianpeng, the maker of U2C. I built U2C after repeatedly hitting the same problem with AI UI tools: the first result could look impressive, but the next screen often used different spacing, colors, controls, or interaction patterns. Repeating a long style prompt did not create a reliable system. U2C treats the design system as project data rather than prompt decoration. You can define Design DNA - semantic colors, typography, component behavior, generation rules, and accessibility constraints - and bind it to a project. New generations resolve the project-bound system before the model is called. For this launch I also added a free Design System Audit. Paste a public website URL and U2C extracts visible design signals and basic consistency findings. You can inspect the complete report without an account; Pro and Max users can save the result as reusable Design DNA. Paid plans currently include GPT-5.6 Sol and Claude Fable 5. I am not claiming one model wins every task, so I am publishing a repeatable comparison framework based on completion rate, valid output, design-system adherence, and repair effort. I would especially value feedback on three questions: 1. Does the Design DNA workflow feel understandable before you generate? 2. Which audit finding would make the report genuinely useful to your team? 3. Where does the generated UI still drift from the system you selected? Thank you for trying it. I will be here throughout launch day answering questions and shipping fixes.

U2C

Generate UI that stays true to your design system

Generate UI that stays true to your design system