Clarityops - AI analyzes production incidents in 5 seconds

Clarity cuts incident resolution from 4 hours to 5 seconds with AI. Unlike Datadog/PagerDuty that only ALERT, we ANALYZE and FIX: - Upload logs (JSON, CSV, plaintext, syslog) - AI finds root cause in 5 seconds - Get exact kubectl commands (not vague suggestions) - 95% confidence, PII auto-redacted Free forever. Open source. MIT licensed. Try now (no signup): clarity-jade-five.vercel.app Built for DevOps engineers tired of 3am debugging.

Hey Product Hunt! 👋

I'm Kunal, founder of Clarity.

I built this after spending 4 hours at 3am debugging a database connection pool issue. I fed the same logs into an AI tool I built — it found the root cause in 5 seconds.

What makes Clarity different from Datadog/PagerDuty:

🎯 We don't just ALERT — we ANALYZE

- Exact root cause with 95% confidence

- Not "database error detected"

- But "Connection pool exhausted due to auth-service spike at 10:30:42"

⚡ We don't suggest — we SOLVE

- Exact kubectl remediation commands

- Not "investigate database"

- But "kubectl rollout restart deployment/auth-service -n default"

🆓 We're FREE and open source

- 100 analyses on web app

- Unlimited with CLI install

- MIT license — use anywhere

Try the live demo (no signup):

https://clarity-jade-five.vercel.app

Three pre-loaded scenarios:

→ Database pool exhaustion

→ Memory leak (OOM)

→ Deployment regression

Each shows different AI analysis. Each takes 5 seconds.

I'm here all day to answer questions and take feedback!

What would make this useful for your DevOps team?

GitHub: https://github.com/kp183/clarity-agent

Clarityops - AI analyzes production incidents in 5 seconds

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