
PetriDish — Indian pharmacogenomics dosing safety
输入遗传数据获得印度化的药物剂量推荐。
@ravi2706kumar · X
Cells to Cure for indian genes,check it out at
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输入遗传数据获得印度化的药物剂量推荐。
@ravi2706kumar · X
Cells to Cure for indian genes,check it out at

生成品牌社交媒体帖子、标题和图像,可直接发布到 Instagram、Facebook 和 LinkedIn。
@chrombyte · X

扫描 GitHub 仓库检查生产就绪度、安全性和可扩展性。
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.

为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

监控应用依赖的 75+ 外部服务,故障时获得即时告警。
@DownDrHQ · X
DownDr — Otto watches 75+ services your app depends on and tells you when it's them, not you. MRR: a proud $0, launched days ago 😄 Why: everyone who's ever debugged a bug that turned out to be someone else's outage is the market. 🦦

扫描GitHub代码库查找安全漏洞,AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

Hexabench 本地开发者工具套件,支持 CSV、Parquet、JSON 格式处理,无需上传。
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]

发布股票、ETF和加密货币预测,在排行榜上跟踪结果,证明你的判断。
kkjh0723 · HN
I ran 12 AI bots predicting stocks for two months, every call public

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

浏览并复制为图片、视频和音乐 AI 生成工具精选的提示词。
weijunext · HN
Free, curated prompts for AI image, video and music

在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X

浏览并复制 Shadcn UI 组件、区块和模板库用于 React 开发。
@gupta05_vaibhav · X