Launched today. Koalr β deployment risk scoring for every PR, before it merges
Hey everyone β Andrew here, founder of Koalr. We just launched. Koalr scores every pull request 0β100 for production risk before it ships. It uses 36 research based signals β things like file change blast radius, author expertise drift, CODEOWNERS violations, CI history, and time-of-week patterns β to flag risky deploys before they become 2am incidents. It connects to GitHub in minutes, no code...


I'm Andrew, founder of Koalr β AMA about what actually predicts production failures
Hey PH π I'm Andrew, founder of Koalr β a deployment intelligence platform that scores every PR 0β100 for production risk before it merges. The idea came from 20 years in IT consulting and delivery. I've sat in more post-incident reviews than I can count, and the pattern is almost always the same: someone merged something on a Friday, nobody flagged it, and the team spent the weekend...
What signals do you actually check before merging a high-stakes PR?
Most teams have an informal mental checklist β PR size, who wrote it, whether tests passed, time of day. But it's rarely written down, and it varies by person. Curious what signals matter most to your team before you merge something you're nervous about. Is it coverage? CODEOWNERS sign-off? Who's on call? Something else entirely?
