Hi <!channel>, We have big news to share! 🎉 There is a major new release in the repo, that includes: • Data monitoring & anomaly detection as dbt tests - Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection, configured and executed as dbt tests. • dbt artifacts uploader - automatic upload of dbt artifacts to the DWH after every run. • Improved slack alerts Thanks to all who tried and provided us initial feedback, and special thanks to @Jonathan Talmi and @Aaron Westlake for contributing! You can find the updated docs here (with the new branding you voted for 😎) . Our data monitors as tests and dbt artifacts uploader are implemented as a dbt package, so it is super integrated with your dbt project runs. It also means that this is basically a dbt project. We would love to get your feedback on it, and even collaborate on new models! Those of you who are not using dbt - you can use the data monitoring as well! We will write a guide to it next week, but reach out if you wish to try it before. Another thing we can now officially share is that we are a Y-Combinator company y combinator