Hey Product Hunt! 👋 I'm Vinicius — 13 years in engineering, the last stretch leading SRE, security, and platform teams. I've been the one in the war room at 3am, scrolling through dashboards, logs, and Slack threads trying to figure out why production just broke. That investigation process — the one where you're jumping between CloudWatch, GitHub commits, Jira tickets, and Slack messages trying to piece together what happened — that's what CauseFlow AI automates. 🔍 What it does: → Connects to your existing stack (Slack, GitHub, Jira, CloudWatch) → AI investigates the incident automatically → Delivers root cause analysis in minutes instead of hours 🔒 Privacy-first: We deploy a Docker agent in your infrastructure that masks sensitive data (PII, API keys, debug logs) before anything reaches our AI cloud. Built for GDPR/LGPD compliance from day one. 💰 No per-seat pricing: Usage-based model. Your whole team can use it without worrying about seat count. 🎯 Built for: Small and mid-size engineering teams (10-100 engineers) who don't have a full SRE team but still deal with production incidents regularly. We're in early beta and I'd genuinely love your feedback — what would make this useful for YOUR team? What integrations would you need first? Use code PRODUCTHUNT for priority beta access.

CauseFlow AI

Find why your app broke in minutes, not hours

Find why your app broke in minutes, not hours