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4 tweets

1
The weird thing about the data science tooling landscape is that I think there could be some cool work done to improve it, but it seems very infeasible economically.
2
It's not like I don't believe in open core, but almost everything is open source and people probably expect to get it for free.
3
You could turn it into a SaaS offering, but then AWS and friends are just waiting to pick it up and integrate it into their stack.
4
Weird, I wonder what other examples exist for spaces like this: you could help people make money but somehow not make money helping?!