
ZeroSev — Your Oncall copilot
By the time you are paged, the root cause is ready!
ZeroSev — Your Oncall copilot launched on June 2, 2026 with 14 votes, #1,036 of 22,647 launches that month and more than 90% of that year's launches.
What it does
Your always-on AI oncall engineer. The moment an alert fires, ZeroSev investigates your logs, metrics, traces and deploys, builds a cited root-cause hypothesis, and drafts the fix — so your first human minute is reviewing, not reading dashboards.
Does a similar job
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Vibe OnCall by Vibranium LabsMay 2026 · vibraniumlabs.ai · ▲67AI-pager that triages IT incidents before 3 a.m. wake-ups
I built an open-source tool to make on-call suck less2024 · github.com · ▲319Hey HN, I am building an open source platform to make on-call better and less stressful for engineers. We are building a tool that can silence alerts and help with debugging and root cause analysis. We also want to automate tedious parts of being on-call (running runbooks manually, answering questions on Slack, dealing with Pagerduty). Here is a quick video of how it works: https://youtu.be/m_K9Dq1kZDw I hated being on-call for a couple of reasons: * Alert volume: The number of alerts kept increasing over time. It was hard to maintain existing alerts. This would lead to a lot…

Incident/OpsJan 2026 · incidentops.io · ▲59I've been an on-call engineer at startups where "incident management" meant someone panic-creating a Slack channel called #fire-fire-fire, or all incidents handled in the #incidents channel at the same time... and the postmortem was whatever someone remembered to write in Notion three days later. So I built a Slack bot to fix my own workflow. Figured I'd share it. What it does: "/incident start sev2 API latency spike" creates a dedicated channel, invites whoever's on-call, pins the details, and starts recording a timeline. When you run "/incident resolve", it uses GPT-4 to analyze…

AI Baby Monitor – local Video-LLM that beeps when safety rules break2025 · github.com · ▲94Hi HN! I built AI Baby Monitor – a tiny stack (Redis + vLLM + Streamlit) that watches a video stream and a YAML list of safety rules. If the model spots a rule being broken it plays beep sound, so you can quickly glance over and check on your baby. Why? When we bought a crib for our daughter, the first thing she tried was climbing over the rail :/ I got a bit paranoid about constantly watching her over, so I thought of a helper that can *actively* watch the baby, while parents could stay *semi-actively* alert. It’s meant to be an additional set of eyes, and *not* a replacement for the…
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