In Rill .75, AI agents can now return rich visualizations directly in the chat. We also updated the homepage to help you get started faster!

This builds on the last release of citation URLs & full semantic layer access, making Rill’s AI agent even more powerful for analysis and collaboration.

Rill 0.75 is out with tons of exciting features we'll highlight over the week.

Up first is Dark Mode for Rill Developer 😎

We carefully refined chart palettes and UI elements so everything looks great in both light and dark themes.

Keep an eye out for dark mode support in Rill Cloud coming soon!

📣 Introducing AI Agents for Rill 📣

Building on our existing MCP server integration, we're excited to share project-wide chat in Rill, which is our first interactive agent of many to come. 🚀

It's not just a chatbot—you always have a dashboard ready to back up any responses from the AI! 🤯

At #DMEXCO? Head to Hall 6 Booth E038 to get a personal demo of our blazing fast dashboards. If not, enjoy the sneak peak below!

What's new in Rill 0.71?
✅ New chart type: combo chart. It allows you to visualize a bar metric and a line metric in the same visualization with two separate scales
✅ Start Rill Developer with automatic credential syncing
✅ Add multiple metrics to bar and line charts for easy comparisons

Rill is the leading BI tool for adtech & e-commerce platforms. 1000s of users use Rill on a daily basis for operational analytics (campaign performance, advertiser/publisher reporting, error troubleshooting).

Are you going to #DMEXCO next week? We'd love to meet up!
www.rilldata.com/events/dmexc...

"What previous tools did is they allowed us to answer questions that we asked, which is important. What Rill allows us to do is to answer the questions we haven't asked yet."

In our 2nd episode of Data-Driven Leaders, we interviewed Glenn Goldman, Director of Product Management at Digital Turbine.

💡Tip Thursday - get started in Rill Developer for free & check out the Concepts section in the docs💡

Jon shares a high level introduction to Rill Developer. He also highlights the metrics view section, which is the heart of Rill’s metrics-first philosophy.

Haven't installed Rill?
curl rill.sh | sh

💡Tip Thursday - check out the Time Dimension Detail view to see how values change over time💡

Expanding the time series allows for more surface area to compare a larger number of dimensions trended over time.

Head to the docs to learn more:
docs.rilldata.com/explore/dash...

In the Rill .69 release, we added the ability to annotate points in time. Now you can highlight data gaps & add metadata that could explain why a metric is moving in a certain direction.

We also added funnel charts & custom themes to our canvas dashboards!

Learn more:
docs.rilldata.com/notes/0.69

💡Tip Thursday - sometimes all you want is your data in a table and everything else out of the way💡

Rill’s metrics first approach means all the KPIs & visualizations in the Explore dashboard are also available in a pivot table letting you quickly summarize the data.

www.youtube.com/watch?v=mx6o...

💡Tip Thursday - Did you know that the Rill leaderboard is a leaderboard for *every* dimension in the model?💡

The leaderboard is super powerful. It’s a combination of a bar chart + a table. Plus if you have the period comparison selected, you can easily see changes by value and percent.

Rill 0.68 is out with new features that saves you time and increases productivity.
✅ Check out the single, unified time pill, letting you quickly switch between different time grains.
✅ Edit the underlying data columns included in your report exports.
✅ Schedule alerts to run at specific times.

💡Tip Thursday - use the KPI widget to quickly compare your key metrics💡

✅See all your metrics at once
✅Re-order on the fly
✅Intuitive spark lines show comparison over time

Check out all the tutorials on YouTube👇
youtu.be/Dqkfp6F_9y4?...

LLMs give their best results when they have good context. For example: knowing how to include Explore dashboard links in their responses.

@jonwalls.dev shows how to include ai_instructions to your model, which automatically adds the context for every conversation.

docs.rilldata.com/explore/mcp#...