Turn raw data into dashboards worth sharing
Connect your data, model relationships and measures, and design interactive dashboards — or fork one the community already built and make it yours.
Every question has a shape
Twenty-two visuals, and the only one that matters is the one that answers what you asked. Pick a question.

Compare any measure across categories side by side, then click a bar to cross-filter the rest of the page.
Four steps from messy data to a decision
One workspace for all of it — no stitching five tools together to answer one question.
Point it at your data and stop
Drop in a CSV or Excel file, or connect PostgreSQL or MySQL — including Supabase, Neon, RDS and anything else speaking those protocols. Column types are detected on the way in, and everything lands in a columnar engine that keeps millions of rows sub-second.

Specifics, not adjectives
Every line here links to the documentation that proves it.
Bring your data into one workspace
However it reaches you — a spreadsheet, a production database, or someone else's dashboard — it ends up in the same place, ready to chart.
Typed on import
Dates, numbers, text — told apart
Upload a file
CSV and Excel. Columns are typed as they come in, so a date behaves like a date before you chart it.
Encrypted credentials
Read-only access is enough
Connect a database
PostgreSQL and MySQL. Point at a table or paste a query — credentials are encrypted, and a read-only user is all we need.
Fork it
A dashboard that already works
Fork from the community
Start from a dashboard someone already published, then point it at your own data and make it yours.