Other6 days ago
rankbuy.lol — Will you take #1 when this site goes viral?
No ads, no API keys, no revenue sharing. Just outbid your competition to get to the top. The fastest competitive leaderboard.
@rankbuylol · X
so here it is
The full gallery
Tech stack
95 projects
No ads, no API keys, no revenue sharing. Just outbid your competition to get to the top. The fastest competitive leaderboard.
@rankbuylol · X
so here it is
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
Turn natural language descriptions into production-ready backend APIs and services.
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,
Add data persistence and authentication to AI-built apps in minutes without database setup.
@MuratOnX · X
OpenAI-compatible chat, embed, and rerank on one key. Hard-capped prepaid billing and an official n8n node — no surprise invoices.
@trycaedral · X
Production-grade face recognition API: index, search, compare, and detect faces with high accuracy. Drop-in compatible with AWS Rekognition — point your existing SDK at one new end
@justbuildingai · X
Popular agents in the cloud, one call away. Claude Code, Codex, Hermes, pi & more — one API key, billed per use.
@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:
Verify mathematical expressions reliably using five independent numeric engines via REST API and MCP.
@UtevR57878 · X
Not vibe-coded, rather AI assisted dev:
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.
Verify an AI agent's decisions and test tampering with the verification records.
foh_quarters · HN
Verify what an AI agent did, then tamper with the record (no signup)
Query normalized SEC filings, insider trades, and holdings via APIs or RAG exports.
@nomasfyi · X
mcp server with sanitized SEC data
Access top-tier AI models through a unified API with anonymous, borderless payments.
@xiaoheihei257 · X
📢 大消息！Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite 已经在 API 正式上线了！🚀 最近模型更新越来越频繁，这次 直接把两个新版本推出来，实际用起来感觉又进了一步。 先说 Gemini 3.6 Flash： 它是 3.5 Flash 的升级版，输出质量明显更好，但价格完全没变。最关键的是 token 消耗减少了大概 17%，遇到 DeepSWE 这种复杂代码生成任务，最多能省下 65% 的 token，成本直接降下来了，性价比很高。 再看 Gemini 3.5 Flash-Lite： 这是 3.5 系列里跑得最快、最省钱的那个，输出速度最高能达到 350 tokens/s。特别适合做高频任务，比如批量处理文档、Agent 实时搜索这些场景，用起来又快又稳，不会卡顿。 的模型生态现在越来越丰富了，两个新模型都支持官方 API 直接调用，开发者用着也方便。整体看下来，AI Agent 时代的底层支持又扎实了不少。 有在做 AI 项目或者日常调用大模型的朋友，不妨去试试新版本，体验应该会挺惊喜的～ @justinsuntron @BAI_AGI #TRONEcoStar