That was probably a particularly lopsided comparison: lots of CSV and JSON reading, string-mangling, and writing back; it was using Python stdlib functions only, and numpy and similar would have also helped enormously. But I do regularly get factor 100x with all sorts of tasks compared to ruby of python.
That said, Ruby's console (or Pry) is without equivalent in Crystal, and I tend to do most everything on the cli in it. And, as someone already pointed out, the compile cycle is too slow. I've also noticed that even with practice, the intricacies of the type system do slow me down by maybe 30% or so? And the currently existing frameworks are still far away from the ease of whipping up an interface to whatever data you have lying around that Rails offers.
https://crystal-lang.org/2020/03/03/towards-crystal-1.0.html
"Fast as C, slick as ruby"
Except for one at least massive feature... runtime metaprogramming... on which the entire Rails ecosystem is built.