完整作品展
技术栈
22 projects
为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
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
统一后端平台，为 SaaS 和 AI 公司提供身份验证、支付、客户数据库和分析。
@NikChr1414 · X
使用托管 Postgres、身份验证和自动生成的 API 构建后端。
@im_pradee_p · X
Backend as a service
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
Monitor your domains with real-time status updates
@theHumanFlag · X
Get alerts when a site is down.
Real-time messaging powered by Cloudflare Durable Objects
@DIYregistry · X
If anyone tries to clone this repo and runs into a problem, send a message to me on I was vibe coding when I made this work & luckily created a README file. Otherwise, I'd have a hard time remembering how to repeat the steps coding a custom business email.
发现从Reddit和Hacker News讨论中的AI评分SaaS创意。
@_itisthedude · X
Building FounderMate, helps builders to find pain points from Reddit and Hacker News
Run cold email campaigns, automate follow-ups, manage replies, and track what converts from Gmail, SMTP, or the sending provider you already use.
@Yanis_Djabali · X
The complete outbound platform, go try it free
将自然语言描述转换为生产就绪的后端API和服务
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,
提供日常软件实用修复的浏览器工具，首先支持GitHub。
yusveng · HN
Workaround – Unstar GitHub Repos in Bulk
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
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. •
