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Linear integration

Connect Linear and turn your issues into engineering dashboards.

Flitch is an AI BI tool that connects to Linear and turns your data into shareable dashboards. Bring your Linear issues, projects, teams, and cycles into Flitch and build dashboards on your software work. Track issues by state, assignee, and cycle, and follow throughput over time. It reads 5 Linear objects, including Issues, Projects and Teams.

  • One-click read-only sign-in
  • Issues, projects, teams, users, and cycles
  • Chart issues by state, assignee, and team
  • Schedule background refresh

What Linear data can you import into Flitch?

ObjectAPI resource
Issuesissues
Projectsprojects
Teamsteams
Usersusers
Cyclescycles

Objects map to resources in the Linear API documentation.

How do you connect Linear to Flitch?

One-click read-only sign-in with Linear (OAuth).

OAuth

Generate a dashboard

Pick a prompt to get started.

Linear integration FAQ

Can I build an issue tracking dashboard from Linear?

Yes. Import your issues, cycles, and projects, then describe the dashboard in plain language. Flitch charts issues by state, assignee, and team, no SQL needed.

What does Flitch import from Linear?

Flitch reads your Linear issues, projects, teams, users, and cycles as datasets. Issues carry fields like state, priority, estimate, assignee, and team you can chart.

How do I track issues across cycles in Linear?

Connect your issues and cycles, then ask Flitch to group issues by cycle and state. You get a clear view of scope and progress across each cycle.

Can I chart Linear issue throughput over time?

Yes. Created and updated dates on issues let Flitch plot issues over time, so you can watch throughput and spot changes in pace by team.

Does connecting Linear give Flitch write access?

No. The connection is read-only, so Flitch only reads the issues and projects you import and never changes your Linear workspace. A scheduled refresh keeps dashboards current.

Does Flitch copy my Linear data?

Only the objects you choose. Linear is an API rather than a database Flitch can query in place, so those objects are pulled on your refresh schedule and stored as datasets. Nothing else is taken, and aggregation still happens in SQL against your data model, so a figure means the same thing on every dashboard built from it. Connect a database instead and Flitch queries it directly with no copy at all.

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