
ossium - The True OSS Helper | Find Best GitHub Projects Fast
发现趋势 GitHub 仓库、初学者议题和 GSoC 组织,寻找开源贡献机会。
@Manixh02 · X
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发现趋势 GitHub 仓库、初学者议题和 GSoC 组织,寻找开源贡献机会。
@Manixh02 · X

Find the best product, not the best marketer. Ranked by ninety days of real GitHub work - no upvotes, no launch day, no copywriting. Work your way to the top.
@verbove · X
to uncover the best products instead of marketers.

免费列出 GitHub 仓库,或出价提升排名。
@ashkans_dev · X
just for fun while the trend lasts :

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

跨14个维度分析Python代码,检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

在付费排名排行榜上排名GitHub仓库及开发工具。
@OngDevLab · X

在 GitHub 上发现趋势 AI/ML 仓库,包含实时警报和提交热力图。
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

使用AI从GitHub提交自动生成发布说明。
@ReleasePilotHQ · X
Just shipped ReleasePilot. Connect GitHub → push code → release notes write themselves. No Actions. No config. Just push. Free for 1 repo & free trial → #buildinpublic #indiehacker #saas #github

通过导入简历和连接 GitHub、Medium 和 LeetCode 来构建开发者作品集。
@prathyarti · X

为开发者设计的笔记应用,支持代码块、看板管理和GitHub导入。
@SinghApurv1711 · X
Hey! Check it out here:

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.

浏览热门公司使用的技术栈并分享你自己的。
mythz · HN
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