
reqit — Local-First API Client | No Account, No Cloud, No Electron
Free local-first API client for HTTP, WebSocket, GraphQL, gRPC, MQTT, and more. No account or cloud required.
@HalxDocs · X
Reqit—a fast, local-first API client for developers.
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Free local-first API client for HTTP, WebSocket, GraphQL, gRPC, MQTT, and more. No account or cloud required.
@HalxDocs · X
Reqit—a fast, local-first API client for developers.

API to extract data from 44 social media platforms through a unified interface.
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

AI API platform offering faster and cheaper alternatives to Claude for developers.
@WebWrightAI · X

API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

Reduce AI API costs using smart caching, model routing, and prompt compression.
@PrathamGup34482 · X
Day 1 of building in public. TokenSave: a proxy that automatically reduces AI API costs — caching, model routing, compression. Up to 40% savings, zero code changes. 0 users. 0 revenue. Just shipped the MVP. Gonna share the real numbers every week here.

Use one API to access AI models from 12 different providers.
@Boltchh · X

Manage API keys and usage budgets for coding-agent workflows with request routing.
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

Infrastructure service for spinning up isolated browser sessions controlled via API.
@ignacyrusz · X

CU_RIOUS TECH APIs is a developer-focused API platform built by Benson Divine. Discover, explore, test and integrate APIs across AI, Anime, Gaming, Music, Downloads and more.
@Curiou_s53363 · X

Find context plugins to teach AI coding agents the exact specifications of any API.
sohaibtariq · HN
A Context Registry for AI coding agents

Access multiple AI agents through a unified API with per-use billing.
@agentsky_dev · X
Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:

Upload, store, and deliver media files through an API and dashboard.
@SOrjiude · X
Hey Peter, you can store those files here