Sync product analytics data with your data pipelines automatically. Redbird AI connects Airflow and PostHog so you can orchestrate event ingestion, trigger workflows from user behavior, and move analytics insights across your stack—no custom operators or manual exports.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically kick off downstream data transformations when A/B tests conclude or feature flags reach full rollout. Redbird monitors PostHog experiment status and triggers the corresponding Airflow DAGs to refresh dashboards, update models, or sync results to your warehouse.
Run nightly Airflow DAGs that pull raw event data, session recordings metadata, and funnel metrics from PostHog into Snowflake, BigQuery, or Redshift. Redbird handles incremental extraction, deduplication, and schema mapping so your analytics team always has fresh product data.
Track your data infrastructure as product events. When Airflow DAGs succeed or fail, Redbird sends structured events to PostHog so you can analyze pipeline reliability, build dashboards on ETL health, and correlate data freshness with product metrics.
After Airflow runs feature engineering jobs or customer scoring models, automatically push those computed attributes back into PostHog as person properties. Redbird syncs the enriched data so product teams can segment users and target experiments based on your latest ML outputs.
Monitor conversion rates, error events, or usage metrics in PostHog while data pipelines execute. Redbird checks analytics KPIs at each DAG task completion and routes alerts through Airflow's callback system when user behavior indicates data quality issues or product incidents.
Orchestrate long-term retention policies by triggering Airflow workflows that compress and move PostHog session recordings, event exports, and analytics snapshots to S3 Glacier or GCS Archive. Redbird schedules the archival jobs and maintains metadata for compliance and auditability.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and PostHog 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 understands Airflow's DAG structure, task dependencies, and XCom variables alongside PostHog's event schemas, person properties, and insight queries—so your orchestration and analytics work together seamlessly.
Redbird reads your Airflow DAG definitions and PostHog event taxonomy to intelligently route data between systems. It recognizes when a pipeline produces user attributes that should update person properties, identifies which events signal workflow triggers, and handles schema evolution when your analytics tracking or pipeline structure changes. The AI suggests mappings between XCom task outputs and PostHog custom events, validates event property types against your PostHog schema, and ensures pipeline metadata flows into the right analytics dimensions.
faster than building custom Airflow operators for PostHog
Redbird can pull from Airflow and PostHog 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 Airflow or PostHog.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into PostHog, or from PostHog back into Airflow. 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 automations from pipeline events in Airflow or user behavior changes in PostHog—Redbird handles the orchestration in both directions.
Trigger when an Airflow workflow finishes successfully or fails with errors.
Fire when individual DAG tasks succeed, fail, retry, or reach custom states.
Detect when task outputs or shared variables cross thresholds or match conditions.
Programmatically start Airflow workflows with custom configuration and runtime parameters.
Modify Airflow variables or connections to dynamically adjust pipeline behavior.
Reset task states to re-run portions of a DAG without restarting the entire workflow.
Trigger when feature flags roll out to new percentages or specific user cohorts.
Fire when trends, funnels, or retention metrics cross defined values in saved insights.
Detect when your product starts sending previously unseen event names or properties.
Enrich user profiles with computed attributes, scores, or warehouse-derived features.
Track pipeline completions, data quality checks, or infrastructure events as product analytics.
Programmatically enable or disable flags for specific users based on pipeline outcomes.
Stop building custom Airflow operators for analytics exports. Redbird AI orchestrates Airflow and PostHog together so your pipelines and product insights stay in sync automatically.