The full gallery
Tech stack
12 projects
Single API key for accessing OpenAI, Claude, Gemini and other AI models.
@lologfts · X
built Apiarium, with one api key you can choose multiple Ai models, easy integration
Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers
Upload any receipt image via API and get clean, structured JSON back in seconds. Built for developers who need accurate receipt data at scale.
@vernroq · X
I made a receipt parser api:
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
Platform enabling AI agents to access 800+ OAuth-integrated services via sandboxed code execution.
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions
Access multiple AI language models through a unified API interface.
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
Stream Claude Code agent execution from the cloud via HTTP API calls.
karakanb · HN
Epho – run Claude Code with a curl
AI API platform offering faster and cheaper alternatives to Claude for developers.
@WebWrightAI · X
Access 200+ AI models (Claude, GPT, Gemini) through one unified API with automatic failover.
@MixRoute_ai · X
One API to send WhatsApp, SMS, OTP codes, and transactional emails.
@amifideles_ · X
Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.
Give AI agents real email inboxes to receive and respond to messages independently.
u/JanJanJaJa · Reddit
Give your AI agent a @yourcompany address. Shipped the domain part this week and it's free We've been building email for AI agents. The idea is that an agent gets a real inbox, not a webhook, so it can receive things and answer in thread like anyone else on your team. The piece that was missing until this week was the address itself. Every agent lived on our domain, which is fine for a demo and wrong for anything real, because a domain where anyone can grab a free address in ten seconds loo
