Linear Insights You Can Act On
Turn Linear data into complete delivery intelligence. Surface detailed analytics for cycles, agents, teams, and projects.
The output-first approach to AI Impact is broken.
Code output is up
Merged pull requests on GitHub have more than quadrupled since 2023, reaching 130M per month in August 2026.
Source: GitHubValue is flat
Only 6% of companies are “high AI performers” that report “significant” AI impact and ≥5% impact on earnings, unchanged from 2025 to 2026.
Source: McKinseyA strategy that works: stop slop to accelerate value.
minware’s Lean AI Framework™ unlocks value by eliminating everything that gets in the way: rework, bugs, reviewing low-quality code, context switching, babysitting agents, and more.
Measure best practices that drive AI impact.
Other platforms measure outcomes, but don’t tell you how to get better.
minware offers actionable metrics that help teams improve AI impact.
Team Workflow Efficiency
Ticket Work-in-Progress (WIP)
Planning and Prompting
Ticket Size
Pull Request (PR) Complexity
Pre-Merge Churn Rate
Post-Merge Churn Rate
Session Automation
Human Commit Rate
Agent Session Length
Human Intervention Rate
Cloud Agent Use/Success Rate
Tool Use/Runtime
Culture
AI Rules of Engagement
Customize metrics for the way each team creates value.
minware’s hypercube data model and minQL language (patent-pending) interlink and surface every SDLC artifact.
We help you customize editable metric formulas for each team’s value creation workflow – aligning statuses, labels, custom fields, and team conventions.
Any Metric ✕ Any Dimension ＝ Accurate Value-Aligned Insights
Start from comprehensive pre-built reports and industry benchmarks.
How can we increase velocity?
Pinpoint where tasks stall and resolve roadblocks faster with clear data about Ticket Cycle Time.
When will our projects finish?
minware's Project Completion Tracker keeps everyone aligned and informed about progress.
What is the impact of AI?
Monitor AI adoption and usage patterns across your development teams with AI Performance Reports.
minware integrates with every major development tool.
minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
Save your tokens and leave the rest to us.
Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.
Automated Caching & Orchestration
The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.
Standard Data Modeling & Benchmarks
minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.
Vendor Data Linking & Normalization
minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.
Error Handling & Recovery
minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.
Identity Resolution
minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.
Role-Based Access Control
Easily control team and individual data access permissions for minware users based on their role and team membership.
On-Premise Ingest Agent
For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.
AICPA SOC 2 Type 2 Certified
minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.
Frequently Asked Questions
How does minware improve on Linear Insights?
Linear Insights provides a simple view of what's happening inside Linear, with no context or drill down options. minware adds delivery context from Git, PRs, CI/CD, and calendars, connecting the full timeline from plan to release so you can surface bottlenecks, delays, and delivery risks.
Can we report across multiple Linear teams?
Yes, minware normalizes team-specific workflows so leadership metrics stay consistent without forcing teams into one workflow.
How does minware calculate cycle time and lead time compared to Linear?
minware calculates lead time and cycle time using actual development and deployment events, not just ticket status changes. It provides accurate cycle time across all stages. This allows engineering leaders to measure how long work actually takes, instead of relying on manual spreadsheets.
How does minware link Linear issues to code?
minware links issues to commits and PRs using common conventions (issue IDs in branch names, PR titles, or commit messages), then uses review and delivery signals to explain throughput and delays.
Can minware show work that isn’t tied to a Linear issue?
Yes. minware can highlight “ticketless work” from Git activity so you can reduce invisible work.