Engineering metrics comparison

Koalr vs LinearB

LinearB measures engineering velocity and cycle time well. Koalr adds the risk layer LinearB is missing: pre-merge deploy risk prediction, Linear integration, native PagerDuty and OpsGenie, and a true LLM chat interface on your live engineering data.

Where Koalr wins

Four capabilities LinearB does not offer at any price point.

🛡️

Deploy Risk Prediction

Koalr scores every PR 0–100 across 32 research-validated signals before you merge. LinearB measures what happened after the fact — it has no predictive risk model.

🔗

Linear Integration

Koalr supports both Linear and Jira natively. LinearB is Jira-only — a significant gap for the growing number of teams using Linear as their project tracker.

🚨

PagerDuty & OpsGenie

Koalr integrates natively with PagerDuty and OpsGenie for real MTTR from incident data. LinearB has no incident platform integrations — MTTR must be proxied.

💬

AI Chat with Live Data

Ask Koalr questions about your PRs, deployments, incidents, and team metrics in natural language. LinearB has no AI chat interface — only pre-built dashboards.

Full feature comparison

Feature
Koalr
LinearB
Core Metrics
DORA metrics dashboard
Deployment frequency tracking
Lead time for changes
Change failure rate
Mean time to restore (MTTR)
Engineering benchmarks report
LinearB strength
Investment distribution (features vs. debt)
LinearB strength
Risk & Safety
Deployment risk prediction
32-signal pre-merge risk score, 0–100
Not available
Test coverage integration
Codecov + SonarCloud as risk signals
Not available
CODEOWNERS sync & enforcement
Auto-sync + GitHub Check Run blocking
Not available
DDL migration detection
AI authorship detection (Copilot, Cursor)
AI & Intelligence
AI chat with live metrics data
Full LLM chat on your live eng data
Not available
AI-generated insights & summaries
AI recommendations, no chat
AI tool adoption tracking
Copilot, Cursor, Claude Code usage
PR & Code Review
PR cycle time tracking
Code review analytics
Review bottleneck analysis
PR size & risk correlation
Flow & Contribution
Work log / contribution heatmap
Investment allocation tracking
Custom metrics builder
Some customization
Delivery forecasting
Team Health
Team well-being tracker
Limited well-being data
Daily standup digest
Burnout risk signals
Integrations
Linear integration
Not supported — only Jira
Jira integration
GitHub integration
PagerDuty integration
Not available
OpsGenie integration
Not available
Slack notifications
Feature flags visibility
LaunchDarkly integration
Access & Reports
Custom reports
API access
Free tier available
14-day free trial
Starting price
$25/user/month
$25/user/month

✓ = available    ✗ = not available    ⚠ = partial / limited

Where LinearB shines

Honest assessment — LinearB does some things well.

Investment distribution reporting

LinearB's investment distribution report — showing the split between features, bug fixes, and technical debt — is one of the best in the market for executive reporting. Koalr has equivalent functionality.

Engineering benchmarks

LinearB's Engineering Benchmarks report provides useful industry context for cycle time and PR throughput. Both platforms offer benchmarking, though LinearB has a longer data history.

Pricing comparison

🐨

Koalr

$25/user/month
  • Deploy risk prediction (32 signals)
  • AI chat with live engineering data
  • Linear + Jira + GitHub
  • PagerDuty + OpsGenie integration
  • Test coverage integration (Codecov, SonarCloud)
  • 14-day free trial, no credit card required
📈

LinearB

$25/user/month
  • DORA metrics & engineering velocity
  • Investment distribution report
  • Jira + GitHub integration
  • No Linear integration
  • No deploy risk prediction
  • No PagerDuty / OpsGenie

Same price. More platform. Less risk.

Koalr matches LinearB's price and adds deploy risk prediction, Linear integration, PagerDuty/OpsGenie, and AI chat. Connect GitHub and get your first risk scores in under 5 minutes.

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