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16 projects
AI设计工具，在代码库中创建UI组件，支持画布和代码编辑。
itsnintu · Product Hunt
Modeinspect 99 Days Free AI Credits - Design product UI in your codebase
部署400+开源工具到9个云提供商中任意一个。
@Dil_Lynn · X
metahub 是 AI 工具的开源注册表和沙盒评估平台。
@BobbySBX · X
We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea
用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.
为 Framer 项目提供的可复用 UI 组件和设计资源库。
@gustavwf · X
Working on a new @framer creation for
查找趋势开源项目并在一个仪表板中跟踪您的GitHub PR和问题。
@manixh · X
Free online tools for developers, creators, and businesses. No bloat, no hassle.
@toolatu · X
桌面优先的开源生产力系统，具有 Pomodoro 追踪、习惯养成和 AI 反思功能。
@Shourya60756648 · X
Let's connect, checkout
Chrome 扩展程序，自动调整注释框和箭头以标注网页元素。
@virgil_dean94 · X
Just launched my new screenshot plugin! 🎉 ✅ Smart zoom effects on key details ✅ Text extraction ✅ 100% Free Perfect for devs, designers, and anyone who wants to communicate visually with clarity! Try it out! 👇 #BuildInPublic #ProductLaunch
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
