The full gallery
Tech stack
29 projects
Browse 10,000+ open-source AI projects with benchmarks, pricing, and code relationships.
osaitech · Product Hunt
OpenSourceAI.tech Discover 10,000+ open-source AI projects, models & tools
Retrieve traffic, DNS, WHOIS, backlinks, and SERP data for any domain or URL via a single API.
@Lucas_hack91 · X
AITDK 作者 Blank 上线了个新网站 里边有各种上站需要用到的 API
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
Visualize SQL schemas as ER diagrams and review AI-suggested fixes before applying them.
@erd_factory · X
Paste your CREATE TABLE statements. Get an instant ER map, flagged issues, and AI-proposed fixes — reviewed as a diff before anything touches your schema.
Validate, fix, and convert JSON and XML; monitor API response changes.
@SupportFixzi · X
Building an API monitoring tools which allows you to know when your AI breaks, before your users do. It has an API monitoring tool and an AI schema validator in it. This is a solution that can ensure your customers trust your app.
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
Use 47 pay-per-use APIs for OCR, translation, image generation, and LLM chat.
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402
Compare how different AI models generate frontend code and view accessibility scores.
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. •
Generate realistic mock APIs with response rules, variables, and AI-assisted setup for development testing.
u/Not_Imagine · Reddit
I built a tool to instantly generate mock APIs instantly with AI Hi everyone, We all run into the same frustrating bottleneck on projects: the UI is ready to go, but the backend API isn’t finished yet and we need to resort to hardcoding mock data. This, however cannot reproduce edge cases like rate-limiting, network latency, or 500 errors. To solve this, I built SynthAPI https://getsynthapi.com/ It's a developer tool that lets you generate live mock API endpoints in se
Mask personal data and reduce AI token costs by processing data locally before sending to Claude, ChatGPT, Gemini, or other APIs.
@AI_303030 · X
Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X
Unified API gateway providing OpenAI, Claude, and Gemini-compatible access to multiple AI models.
@YinsenW_ · X
CherryIN 平台已经上线了DeepSeek v4 flash Vision-Exp 模型，为全球用户带来最领先的多模态AI 服务哈哈哈
