开发者工具1 month ago
ARGUS — Forensic Observability for AI Agent Pipelines
ARGUS：为AI代理流程的可观测性平台，检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents
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ARGUS：为AI代理流程的可观测性平台，检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Zuvio Atlas — 通过 AI 根因诊断监控服务器和按需响应。
@iamjackwiz · X
油气行业安全审计软件，支持离线工作、JSA分析和热工许可流程。
@jay_cobski · X
Awesome oil and gas safety audit tool -
为非洲创业者管理合规、财务和法律文件的一体化平台
@hello_itsammy · X
Hi. I am building a Regulatory Tech product. I don't want business to fall behind due to missed deadlines, and I also want to ensure that businesses can track their finances, and see real time data and results from it to make informed decisions.
The first social ecosystem where visibility is earned through contribution, not algorithms or ads. Join communities, share posts, and build your reputation.
@Woopeeu · X
You said drop your startup link, so here we go 👀 We’re building Woope — a social network where you actually find people who share your interests. No paid reach. No endless algorithm games. Just people, communities and ideas. 🚀
通过 GitMission 的交互式任务和浏览器终端与虚拟团队学习 Git。
@0shuvo0 · X
KyroGPT帮您构建并优化专业简历，轻松通过ATS筛选。
@AyushGu50073550 · X
Some improvements are still required
CanaryHub 实时监控应用和 API，故障时通过 Telegram 即时警报。
u/AgitatedLemon6836 · Reddit
I've got too many sites to monitor at this point I have been working on a bunch of different SAAS ideas at this point, some of them are just parked right now as I have decided to market others or have lost passion for the project. Its hard to check logs in a unified fashion for a bunch of different sites, I have backend's on Fly io, Heroku, Vercel, Hetzner and AWS (for varying reasons, some consulting, some work etc). just wanted like text message updates for things with a summary, like "3
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
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.
