展示HN：IncidentPost – 使用最少工具生成的AI事故事后分析报告
嗨，HN，
我创建了IncidentPost（[https://incidentpost.vect.pro](https://incidentpost.vect.pro)），旨在帮助工程师和SRE（网站可靠性工程师）轻松发布清晰、公开的事件事后分析，而无需繁重的内部工具或手动撰写的压力。许多团队在事件发生后，尤其是在时间紧迫的情况下，常常难以格式化时间线、总结根本原因并生成可分享的报告。
它的功能包括：
- 粘贴原始时间线（Slack日志、时间戳、警报）
- 生成结构化报告，包括执行摘要、根本原因分析、时间线、缓解措施和行动项
- 生成一个公开的URL、Markdown/HN帖子草稿和Twitter线程，您可以立即发布
- 无需账户或复杂的入门流程即可阅读公开报告——为透明度降低了障碍
为什么这很重要：
- 公开的事后分析可以提高信任度和工程流程
- 将数小时的写作自动化为几分钟
- 让重点放在事件解决上，而不是文档编写上
目前还处于早期阶段，依赖反馈，并且故意保持简约。我非常希望听到工程师、SRE或处理可靠性和事后分析的创始人的想法：
有什么缺失？什么是必要的？您会使用这样的工具吗？
查看原文
Hi HN,<p>I built IncidentPost (<a href="https://incidentpost.vect.pro" rel="nofollow">https://incidentpost.vect.pro</a>
) 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.<p>What it does:<p>Paste a raw timeline (Slack logs, timestamps, alerts)<p>Generates a structured report with executive summary, root cause analysis, timeline, mitigations, and action items<p>Produces a public URL, Markdown/HN post draft, and Twitter thread you can publish instantly<p>No accounts or complex onboarding to read public reports — minimal barriers for transparency<p>Why this matters:<p>Public postmortems improve trust and engineering processes<p>Automates hours of writing into minutes<p>Keeps focus on incident resolution, not documentation<p>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?