Sync GitHub development activity to Segment automatically and route engineering events across your analytics stack. Stop manually tracking developer actions, code releases, and deployment events — let Redbird AI turn your version control activity into structured customer data platform events.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically send GitHub deployment and release events to Segment as track calls, enriched with commit metadata, developer attribution, and feature flags. Route production deployments to analytics tools to correlate feature releases with user behavior changes.
Capture PR opened, merged, and closed events from GitHub and send them to Segment with author, repository, and review metadata. Build unified dashboards of engineering velocity alongside product usage and customer engagement metrics.
When Segment detects specific user events or behavioral patterns, automatically generate GitHub issues with full context, user segments, and reproduction steps. Route product analytics signals directly into engineering workflows without manual handoff.
Match GitHub usernames or emails with Segment user IDs and enrich customer profiles with contributor metadata, commit history, and repository access levels. Identify power users, OSS contributors, and developer customers across your product analytics.
Send CI/CD pipeline status, test results, and build metrics from GitHub Actions to Segment as engineering events. Route workflow outcomes to data warehouses and observability tools while maintaining a unified event schema across development and product data.
When new feature flags or experiments are configured in tools receiving Segment data, automatically create corresponding feature branches in GitHub with proper naming conventions and initial setup. Connect product experimentation workflows directly to code development cycles.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize GitHub and Segment with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands both GitHub's webhook payloads and Segment's event spec, so you can route development activity into your customer data platform without custom code or transformation scripts.
Redbird automatically maps GitHub event schemas—commits, pull requests, deployments, releases, issues, and Actions workflows—to Segment's track, identify, and group calls with proper traits and properties. Our AI handles timestamp conversion, user identity resolution between GitHub usernames and Segment user IDs, and payload transformation so events arrive in Segment with clean, queryable metadata. Whether you're tracking engineering activity alongside product metrics or enriching customer profiles with developer data, Redbird maintains schema consistency across both systems.
faster than building custom GitHub-to-Segment event pipelines
Redbird can pull from GitHub and Segment simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either GitHub or Segment.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from GitHub into Segment, or from Segment back into GitHub. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start from any GitHub development event or Segment data routing operation and build multi-step workflows across your entire stack.
Trigger when a PR changes state, with full diff, reviewers, and approval metadata.
Trigger on production deployments, pre-releases, or tagged versions with environment context.
Trigger when CI/CD pipelines finish, with status, duration, and test results.
Generate GitHub issues with structured data, custom fields, and automatic routing.
Post automated updates, analysis results, or approval notifications to existing threads.
Manage GitHub project metadata and organization based on external events.
Trigger when Segment workspace configuration changes or new data flows are added.
Trigger on customer events meeting defined criteria, with full event payload and user traits.
Trigger when Segment links anonymous users or updates identify traits.
Post structured events to Segment with proper timestamps, user IDs, and event metadata.
Enrich Segment user profiles with data from GitHub or other connected systems.
Manage Segment account-level data based on repository, organization, or team changes.
Start syncing GitHub development activity to Segment in minutes. Build workflows that connect version control, deployments, and engineering metrics to your entire customer data platform — no custom code required.