Count is the first canvas for modern data teams. It combines the power of a data notebook, in the context of an infinite, real-time collaborative whiteboard. Instead of churning out dashboards and charts, the canvas gives data teams the space to focus on solving the problems that have the biggest impact on the business. With the canvas, analysts can deep dive into any problem without jumping between tools. Query with SQL or Python, create powerful, customized visuals, and discuss findings with stakeholders. Easily turn any canvas into a compelling data story like a metric tree or onboarding funnel. Analytics and data engineers use the canvas for exploring, debugging and iterating data models. Import any model from dbt, or from SQL scripts. Break down your models into a graph of connected CTEs with live results. Debug your code, invite others for feedback, and export back to dbt Cloud, GitHub, or as a full SQL script. Count is loved by over 500 data teams across a wide range of sizes and industries including Accenture, Omnipresent and Too Good To Go. Teams looking to break out of the endless cycle of dashbaords, and trying to make their teams work more collaboratively across the entire workflow find the best success with the Count canvas