If you're confused by "headless BI", there's a blog post to get you covered (https://cube.dev/blog/headless-bi), but the most concise and developer-friendly way to put it would be that Cube can connect to any data source that speaks SQL (from Postgres to BigQuery to ClickHouse to Materialize) and expose your data, conveniently presented as high-level metrics rather than in terms of tables and columns, via a set of APIs, including REST, GraphQL, and SQL API.
The last one is particularly interesting, because it gives you an opportunity to deliver metrics through Cube to notebooks like Jupiter or BI tools like Tableau or Superset (all covered by SQL API), just like you can deliver them to front-end applications (covered by REST/GraphQL).
Do you see Cube fit for the applications you're building?
Let's discuss here or in Cube's Slack community (https://slack.cube.dev) where we recently celebrated that Cube has got over 13,000 stars on GitHub (which is not that bad for a developer tool, I guess).
