
OpenAPI Studio — Design, test, and publish AI-ready APIs
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.
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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.

SimplestAPI:为 AI 应用添加数据存储和登录,无需数据库设置。
@MuratOnX · X

GoldBean 是按使用付费的 API 市场,提供 47 个端点用于 OCR、翻译、图像生成和对话式 AI。
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402

无代码应用构建器,支持AI工作流,专为非技术创始人设计。
@sanchoyai · X
2/ Meet Momen - the no-code builder for production-ready Apps Go to → Got a big app idea but can’t code? The no-code builder that lets non-technical founders create apps go from idea → millions of users. UI, database, workflow, AI — all in one. Not vibe coding, but something you can control, grow, and scale.

Flowdia 用 AI 团队来规划、设计和部署配备真实数据库和 API 的应用。
@islamtaha · X

通过 AI 辅助写作,从 API 规范和文档生成品牌化的开发者门户
@jitendraballa · X

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

用自然语言描述你的想法,即可构建并部署生产应用。
@jordanunegbu · X
Develop apps and websites with natural language?

可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

用独立验证的数据对比和评估 SaaS API,辅助自建或购买决策。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

选择技术栈快速生成配置好的SaaS启动项目GitHub仓库
madhudollu · Product Hunt
SupaBoot — SaaS + AI starter kit Choose your stack. Get a production-ready GitHub repo. ⭐

NextBunny:可视化构建生产级 React & Next.js 应用,导出整洁代码。
@MahatiSingh · X