Linear + PostgreSQL: Issue Tracking Meets Your Database

Your engineering team lives in Linear - creating issues, managing cycles, and tracking initiatives. Your PostgreSQL database holds the data that powers your product. With Neotask, you can bridge these two systems in plain language, syncing issue data into your database, querying project health, and building engineering analytics without writing a single script.

Custom Issue Analytics

Run SQL queries on Linear data stored in your own database.

Historical Trend Tracking

Retain full issue history in PostgreSQL for long-term analysis.

Cross-System Data Joins

Combine Linear metrics with other business data in one place.

Workflows

Sync Linear Issues to PostgreSQL Tell Neotask to pull all open issues from a Linear team and insert them into a PostgreSQL table. Neotask handles the API calls, maps the fields, and runs the inserts - keeping your database in sync with your issue tracker.

Build Engineering Cycle Reports Ask Neotask to query your PostgreSQL database for cycle completion rates, average issue resolution time, or team velocity over the last quarter. Neotask writes and runs the SQL, then surfaces the results in a readable summary.

Triage and Log Issues Automatically Describe a recurring triage workflow - for example, creating a Linear issue whenever a specific database condition is met - and Neotask configures the automation to run on a schedule or trigger.

Archive Completed Cycles At the end of each Linear cycle, have Neotask export completed issues and their metadata to a PostgreSQL archive table. Build a long-term history of your engineering work that you can query any time.

  • Describe what you need
  • Neotask configures the automation
  • It runs on autopilot
  • "Pull all Linear issues assigned to me this cycle and insert them into my `eng_issues` table"
  • "Query PostgreSQL for the average time to close issues in the last 30 days and create a Linear initiative with the findings"
  • "Create a Linear issue for every row in my `bug_reports` table where severity is critical"
  • "Archive all completed Linear issues from this cycle into my `cycle_archive` PostgreSQL table"
  • "Show me which Linear team has the most open issues and log it to my `team_metrics` table"
  • Keep a dedicated PostgreSQL schema for Linear data so your analytics queries stay clean and isolated from production tables.
  • Use Neotask to schedule nightly syncs so your database always reflects the current state of your Linear workspace.
  • When building reports, ask Neotask to create views or materialized views in PostgreSQL - this makes repeated queries much faster.
  • Combine Linear cycle data with your PostgreSQL deployment logs to correlate shipping frequency with issue resolution rates.
    • Can Neotask write SQL for me automatically? Yes. Describe what data you want and Neotask generates and runs the SQL against your PostgreSQL instance. You do not need to write queries manually.

    Does this work with any PostgreSQL host? Neotask connects to standard PostgreSQL instances, including self-hosted servers, AWS RDS, Supabase, and other managed providers.

    Can I sync data on a schedule? Yes. You can set up recurring syncs - hourly, daily, or on a custom schedule - so your database stays current without manual intervention.

    Will Neotask modify my production database? Neotask only performs the actions you describe. You can direct it to write to specific schemas or tables, keeping production data safe while you build out your analytics layer.

    Learn more about linear

    Learn more about postgresql