
reqit — Local-First API Client | No Account, No Cloud, No Electron
免费的本地优先 API 客户端,支持 HTTP、WebSocket、GraphQL、gRPC、MQTT 等。无需账户或云端。
@HalxDocs · X
Reqit—a fast, local-first API client for developers.
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免费的本地优先 API 客户端,支持 HTTP、WebSocket、GraphQL、gRPC、MQTT 等。无需账户或云端。
@HalxDocs · X
Reqit—a fast, local-first API client for developers.

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


免费在浏览器中编辑和格式化JSON,支持验证和转换。
@bhushankuma491 · X

托管 JSON 数据库,用于存储 agent 内存,具有 REST 和 MCP 连接能力
@StuSim · X
hey Adam, I run , lightweight agent memory

通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X

统一API网关,审计Token消耗并分析多个AI提供商的成本。
@amiuchat · X
我做了一个桌面工具:Token Switch。 给 Codex / Claude Code / OpenCode 重度用户统一管理 Provider、模型、Token、Base URL、连通测试和消耗统计。 多个 Agent,一个 Token 工作台。欢迎试用,也欢迎吐槽你最烦的配置问题。

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

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

AI助手用于聊天、编码和API,支持30+个前沿模型并学习你的代码库
@otakuaakash · X

一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

社交媒体爬虫 API,统一接口访问 44 个平台的数据。
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went