[grumblenum]

Uber for numpy, perhaps. The best case scenario would be like Oracle and JavaSE. I lack the imagination to speculate on the worst case, so I am quite surprised that anyone expects to make more than $24M in profit from yet another programming language. Particularly one which caters to the narrow intersection of one-off scripts/rapid iteration, efficient machine code generation, but without limitations on memory usage.

[ChrisRackauckas]

The product is not the programming language. As addressed in there and on this board, there's a healthy set of products around pharmaceutical modeling and simulation (Pumas-AI, adopted by groups like Moderna), a cloud compute service JuliaHub, multi-physics simulation tools (JuliaSim), and upcoming verticals like JuliaSPICE for circuit simulation. Each of these themselves are entrants into billion dollar industries with tools that are, in some cases, already outperforming the current market leaders in computational speed and are quickly getting modern reactive GUIs. The Julia part is simply that it was founded by the creators of the Julia programming language and this stack is then (of course) built in Julia, leveraging all of its tools to reach these speeds. But the product is not the language itself.