koalr
@Koalr
Andrew McCarronverified
Builder of Koalr — deploy risk prediction for engineering teams
About
Founder of Koalr — deployment intelligence for engineering teams. I write about deploy risk, production reliability, and the signals that predict failures before they happen.
Projects
Koalr
Visit Project open_in_new Aug 2021 - PresentKoalr scores every pull request for deployment risk before it merges — using 36 weighted signals including change entropy, author file expertise, minor contributor density, SLO error budget burn rate, and an LLM semantic layer that catches things like "temporarily disabling rate limiting."
Most teams find out a deploy was risky after the incident. Koalr tells you before the merge button.
What it does:
Deploy risk score (0–100) on every PR
DORA metrics, flow metrics, review analytics
Weekly AI risk briefing
Works with GitHub — connects in under 5 minutes
Try the live demo (no account): https://app.koalr.com/live-risk-demo
Licenses & Certifications
verified
SAFe 6 Practice Consultant
Scaled Agile
Issued Nov -0001Credential ID 59544740-9675
Show Credential open_in_new
verified
SAFe 6 Agilist
Scaled Agile
Issued Nov -0001Credential ID 64134984-1731
Show Credential open_in_new
verified
SAFe 6 Scrum Master
Scaled Agile
Issued Nov -0001Credential ID 28260103-4652
Show Credential open_in_new
Language & Tools
TypeScript, Next.js, NestJS, PostgreSQL, ClickHouse, Prisma, Redis, GitHub API
Currently Exploring
Predictive ML for deployment failure signals — ranking pre-merge risk across 36 weighted signals
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