What is the adoption of the django vs rails or whatever in the sample size?
Is there a difference between companies that reach Series A, B? etc?
Is there a difference in valuation? (On the theory that stack X helped the team iterate faster)
Does it matter what the vertical is? (For instance, are data science companies more successful if they use a pythonic stack?)
p.s. if you don't want to release the data to internet sleuths, you might consider putting out articles like this as content marketing. People will definitely criticize you for your weak study that ignores their favorite factor, but it would be for fun.
I always find this interesting! It takes digging to get the answers, but there are a few resources out there to explain some of it. I can't think of them off the top of my head, sorry :/
For example; yes, Rails or Django is common to rapidly whip things up at an early-stage startup.
Data Science and ML companies will lean towards Python because it's the main building block of their product. No hard and fast rules, of course; you'll often see Scala at these companies too, given it's relationship with Spark.
Anyways, I'm always trying to understand and seek out the answers to the exact questions you have.
Yes I agree! I'd love to create pages that show the popularity of stacks/benefits! Interesting idea about breaking it up by market/vertical too, this is likely something we'll do in the future!
What is the adoption of the django vs rails or whatever in the sample size?
Is there a difference between companies that reach Series A, B? etc?
Is there a difference in valuation? (On the theory that stack X helped the team iterate faster)
Does it matter what the vertical is? (For instance, are data science companies more successful if they use a pythonic stack?)
p.s. if you don't want to release the data to internet sleuths, you might consider putting out articles like this as content marketing. People will definitely criticize you for your weak study that ignores their favorite factor, but it would be for fun.