A first look at adding new model context based on an AI session. This means when you need to introduce new fields or context in a given AI session, Omni can suggest changes to make Blobby smarter for future users and use cases.

Sometimes you want the filter experience to be faster than the back and forth to the warehouse. Now you can create extracts do slice and dice instantly. Lots of work to come here to tune the experience.

In rare cases, folks want to scroll through more than 50k rows in the browser. Now these massive lists can be paginated, including pivots and row totals.

Sometime you need hundreds of tabular rows in your scheduled reports. Now Omni will unfurl long tables in the renderer, allowing users to export hundreds or thousands of rows into documents. Note this will not shrink to fit for wide tables, anything to handle tables wide than the maximum would be follow on work.

Now stack order can be set independently from the table, for use cases like stacking based on size on a segment-by-segment basis.

Now builders can visually curate the fields available via the front end. Simple workflows for controlling the exact experience for end users.

Early look at a new layer to add a quick summarization for visualizations alongside the vis itself.

Blobby can now move between topics, and the MCP service is available behind a feature flag.

A quick demo of migrating a legacy dashboard via MCP - simply paste in a picture of a dashboard and Omni + Claude (via MCP) builds a replica on top of the Omni data model, styled to match the existing dashboard. Plan to bring this to the native product over time as well.

We improved the workflow for building groups in Omni to make sure it's more ergonomic to build long lists in our modals.

More work to streamline content and model edits in branches for non-downtime dashboarding as models evolve.

Another heavily redacted (sorry) use case of Omni internally using the new spreadsheets. This is a sales ops use case where we're lifting our sales forecasting process from Google Sheets into Omni alongside our live data. Reach out if you need more detail on this one.

A quick example of doing data analysis via the Omni MCP server. Some nice back and forth between the warehouse and analytical interpretation.

Now faceted charts / trellis / small multiples allow for stacked and multi-measure charts.

There's a new option for automated authentication in Omni.

We tuned up navigation for dashboards and layering in pagination for long lists.

Now Blobby is smart enough to run queries prior to summarization for questions where Blobby doesn't already have the answer.

We improvement the table migrator in the model to allow for no-downtime migration of logic for name-changed or deleted views.

A new argument for tuning the ignore behavior with extensions and templated models.