This week Blobby got unleashed. Continuing on the build out of Agent Blobby, we have a demo of AI doing a little bit of everything - building a plan, multi-query execution, some data modeling, and even building a dashboard. This is all locked up behind the agent launch (TBD), but huge progress in the scope of automated analysis.

We built a quick accelerator to bucket results into Top N + Other. This will also work across pivots or multiple series because it's backed by a mini data model. No more 200 slice pie charts.

Now you can sync all the work in your Snowflake Semantic Layer into Omni seamlessly.

More infusing AI into everything in the app - this time adding dashboard summary text above the visualization powered by the visualization results themselves. Also opens up longer form hover-over descriptions of the tiles as well.

We added more AI to our KPI vis as well with an intelligent summary snippet to pair alongside metrics, changes, sparklines, etc.

Huge progress unifying multi-measure and color faceted charts with stacking, labeling, and faceting. The new visualization pipeline will both improve the quality for existing vis, but also open up lots of really nice improvements around the edges of mixing all of these complex chart types together.

Luke gives another demo on the continuing progress around dashboard containers, tabs, and more filters around. Raw UI, but get to see the bones of all the future flexibility coming to the dashboard layer.

We dolled up the markdown gallery for faster, better, easier discovery of all the unique advanced visualizations you can build in Omni.

We made everything surrounding the dbt workflow faster, plus a few metrics to prove it.

Want to make sure the app always feels fresh, so we're polishing up the log-in page and the homepage landing experience. This all builds out the groundwork for more extensive full-app styling controls for folks that want to hijack our CSS and make it feel like theirs.

We made our join inference a little smarter by reading the DB metadata to build a more comprehensive join library.