Show HN:IncidentPost – 運用極簡工具生成 AI 驅動的事件事後分析報告
一款名為 IncidentPost 的新工具利用 AI,能從原始時間軸自動生成結構化的事件事後分析報告,旨在減輕工程師和 SRE 的手動撰寫壓力,並提升透明度。
I built IncidentPost (https://incidentpost.vect.pro
) to help engineers and SREs ship clear, public incident postmortems without heavy internal tooling or manual writing stress. Many teams struggle to format timelines, summarize root causes, and produce shareable reports after outages — especially under time pressure.
What it does:
Paste a raw timeline (Slack logs, timestamps, alerts)
Generates a structured report with executive summary, root cause analysis, timeline, mitigations, and action items
Produces a public URL, Markdown/HN post draft, and Twitter thread you can publish instantly
No accounts or complex onboarding to read public reports — minimal barriers for transparency
Why this matters:
Public postmortems improve trust and engineering processes
Automates hours of writing into minutes
Keeps focus on incident resolution, not documentation
It’s early, feedback-driven, and intentionally minimal. I’d really appreciate thoughts from engineers, SREs, or founders who deal with reliability and postmortems:
What’s missing? What feels necessary? Would you use something like this?

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