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i built a free tool that interviews you about your design taste before ai writes any frontend code

every time i asked an ai agent to build me a ui, the result looked the same. nice enough, but interchangeable with every other ai-generated page out there. so i built opendesigner as a side project. it is a skill that flips the order: before any code gets written, it interviews you about your taste - what sites you like, how dense you want your layouts, how loud the colors should be. then it writes a DESIGN.md with concrete rules and tokens, and every component the ai generates after that

五维评分

付费意愿
28
需求真实度
52
个人可落地
85
竞争空间
48
新鲜度
72

AI 分析

痛点:AI 编程助手生成的 UI 千篇一律、缺乏个性,用户没法把自己的设计品味稳定地传达给模型

目标用户:用 Claude Code、Cursor、Copilot 等 AI 编程工具做前端的独立开发者与小团队

证据:every time i asked an ai agent to build me a ui, the result looked the same. nice enough, but interchangeable with every other ai-generated page out there. / the interview matters more than the tokens.

变现:核心开源(MIT)免费获客,围绕商业版变现:团队共享设计系统与 DESIGN.md 托管、私有 token 库与版本管理、订阅制 SaaS(多项目切换、风格预设市场)、为企业提供定制设计规范生成服务

MVP:做一个 2 周能完成的访谈式生成器:5-8 个问题(喜欢的站点、信息密度、色彩强度、圆角/间距偏好)→ 输出 DESIGN.md 与 tokens 文件,一键导出为 Cursor/Claude Code 的规则文件,附带 3-5 套预设风格模板和前后对比 demo

竞品:OpenDesigner(本项目,MIT 开源)、shadcn/ui themes、Tailwind UI / Catalyst、各类 design-system prompt 与 .cursorrules 模板仓库

摘要:作者因 AI 生成的 UI 千篇一律,做了 OpenDesigner:先用访谈式问答挖掘用户设计品味,再生成 DESIGN.md 规则与 tokens,让后续 AI 生成的组件保持一致。工具免费且 MIT 开源,支持 Claude Code、Cursor、Copilot、Codex、Gemini CLI。痛点真实,但作者自己免费开源,帖子里没有付费意愿或收入数据,变现路径需自行验证。