I feel like it's more often a result of suffering from success that leads to these situations, rather than a lack of foresight to begin with.

For example I work on a python codebase shared by 300+ engineers for a popular unicorn. Typing is an extremely important part of enforcing our contracts between teams within the same repository. For better or for worse, python will likely remain the primary language of the company stack.

Should the founder have chosen a better language during their pre-revenue days? Maybe, but at the same time I think the founder chose wisely -- they just needed something that was _quick_ (Django) and capable of slapping features / ecosystem packages on top of to get the job done.

For every successful company built on a shaky dynamic language, there's probably x10 more companies that failed on top of a perfect and scalable stack using static languages.