> Or until you're at the scale where you're working with datasets/queries simply too big or too complex for Sheets to handle effectively.
At which, again from my perspective and view of things which may be wrong, startups are more likely to automate/productize that so they can better maintain and dogfood it if possible instead of letting someone's Excel workbook grow into a pet ML tool that only they understand.
I think this is where our respective experiences diverge, at least momentarily. Yeah, eventually a company will (hopefully) try to build better tools (as I and the rest of my team are trying to do in our case), but there will be an often-long gap between some employee creating a spreadsheet-based monstrosity and some engineering team turning that into a better tool/system.
At which, again from my perspective and view of things which may be wrong, startups are more likely to automate/productize that so they can better maintain and dogfood it if possible instead of letting someone's Excel workbook grow into a pet ML tool that only they understand.