ETLR

ETLR is a developer-focused workflow automation platform that lets you build, version, and deploy workflows entirely in YAML. Instead of dragging blocks around a visual canvas, you write your workflow as code — defining steps like calling OpenAI, sending a Slack message, or transforming data with Python. It's designed for teams who want to treat automation the same way they treat application code: stored in a repo, reviewed in pull requests, and deployed with a single command.

What makes ETLR stand out is its commitment to developer workflows. Every deployment creates a new version, so you can roll back instantly if something breaks. The platform includes built-in observability — real-time metrics, structured logs, and execution traces — so you can monitor and debug without leaving the dashboard. It integrates with 25+ services out of the box, including OpenAI, Anthropic, Google Gemini, AWS S3, Slack, and HubSpot. You can also write custom Python steps for anything not covered by the built-in integrations.

ETLR is ideal for developers and engineering teams who have outgrown tools like Zapier or Make.com. If you need version control, CI/CD integration, and production-grade monitoring, ETLR gives you that without the overhead of managing your own infrastructure. Use cases include AI-powered data pipelines, automated customer support triage, and connecting internal tools with custom logic — all managed from a YAML file and deployed in seconds.