[mrbirddev]

From my own startup & corporate experience,

1. product managers will try to make things dead easy, by setting up simple excel formulas & charts. Taking screenshots etc

2. data engineers will do more technical but opensourced solutions like superset & dbt

3. corporates usually tends to build the end UI themselves. I remember sth that (maybe?) Pinterest opensourced.

I deeply understand how hard it is to build a notebook like this. And there are indeed some problems lying in the collaboration and UX.

It's just so hard to propose those features, given the problem is usually the data itself and a highly competitive market. Popsql does not thrive as I remembered.

[lucasfcosta]

The data itself is indeed a problem. More than that, I'd add that the very definition of what's being measured or calculated is an even bigger problem (i.e. what's an active user?)

Still, I think that we can get to a place where everyone uses the same tool to collaborate on data matters, like a "Retool for data/BI". At a high-level, that's the direction we're going, and we're starting with notebooks and dashboards.

[mrbirddev]

Just my 2 cents. Somehow got a chance to look into the competitive landscape. And found that which ever ICP to start with there's no immediate reason for adoption.

But who knows? Back in 90s no one knows they need an iPhone. Wish all the luck for your journey onwards.