A first look at the new UX for creating data from the workbook or dashboard. Now you can build columns that allow collecting data from end users. Opens up tons of read/write use cases for specific workflows.

Blobby is great, but doesn't always get it right on the first try. We're building more intelligence into the AI experience by explicitly validating the results matched the user's intent correctly. More work to do here, but want to make sure Blobby can always get it right hands off.

The biggest blocker to more Blobby is often getting started. Here we show off building a data model and AI context from scratch entirely in the UI. More work to do here, but want to make getting started with a new data set or table completely AI-able.

Workflows have been in GA for a bit, but we wanted to show off some internal use cases that are creating huge efficiencies for us. We'll get these in the docs for folks that want to crib or extend.

More Blobby MCP - this time bringing Google calendar into the AI experience.

With the near term GA of containers (the new dashboard experience), we wanted to make it easy to build beautiful dashboards even with the additional belles and whistles. Templates make common dashboard patterns easier to build and control.

More refinement to the color picker experience.

The new funnel vis is moving to GA.

We love to see a first-week demo. Here picking up a much-requested feature for configuring pie chart labels more flexibly (like percentages alongside values).

More complex embed setups often have customers with different fiscal calendars and business weeks. Now you can serve that complexity dynamically using user attributes.

Bunch of tune up for the IDE experience - improved file search UX and some tune up to the sidebar search as well.

An end-to-end demo of building data model + AI context via Cursor and Omni CLI. This means folks can bring help docs from external sources like Notion to instant build context into Omni.

Another internal productivity workflow we wanted to share. This allows us to take Slack threads with feedback or bug reports and instantly file rich Github tickets (ideally to mostly-automate resolution via Claude Code).