Linear Insights You Can Act On

Turn Linear data into complete delivery intelligence. Surface detailed analytics for cycles, agents, teams, and projects.
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Effortlessly answer any question with rich, trustworthy data.

What's my Token Cost by Project ?

Start from 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.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

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.

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.

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