Data pipelines & ETL with AI
Pull, transform, write - on a schedule or webhook. GenMB workflows replace the homegrown Python scripts that always end up nobody-owns after six months.
Sources
Postgres, Airtable, Google Sheets, Notion, REST APIs, webhooks, S3/GCS.
Transforms
AI summarization, classification, extraction. Or plain JS/Python in the code node.
Sinks
Same set of destinations as sources. Plus: send_email, slack_message, gmail_send.
Real pipelines people run
- "Every hour: pull new Airtable records, classify with AI, write to my Postgres."
- "On webhook from Typeform: enrich with Clearbit, append to Google Sheet, notify Slack."
- "Weekly: query Postgres for inactive users, generate personalized winback emails, send."
- "Every 15 min: pull error logs from S3, summarize with AI, post to PagerDuty."