matchcn：用 Jev 分类器匹配 UI 组件
作者索引 9 个 shadcn 注册表的 1783 个组件，用 Jev 分类器做匹配，让编码 agent 先搜索再生成并给出置信度。
Built @matchcndev because I think coding agents should search before they generate. You describe the UI in plain language, and matchcn finds the closest component, explains why it matched, and gives you the install command. No guessing component names. No jumping between libraries. No rebuilding something that already exists. Right now I’m indexing 1,783 components across 9 shadcn registries, classified across purpose, motion, density, interaction, data, and decoration. The classification and matching layer is powered by Jev through classifier, so every decision comes with confidence instead of just generated text. The goal is simple: make component discovery agent-native, so coding agents can reliably find and install the right existing component for the UI they’re building. Still early, but this is the direction I’m pushing.