[grumdan]

Describing two well-engineered compilers of two relatively used languages as not impactful is quite a statement. In particular, given the good performance results they achieve, for languages that are quite far away from the normal execution model of the machine they produce code for.

[fnord123]

>two relatively used languages

Relative to what? Haskell and OCaml are important languages for PLT but not in the context of "production", or as I understood "production" to mean: shipping products with features. To call them anything but niche players in this context is not accurate in my opinion.

[grumdan]

As in, there are a handful of large projects the languages are used for. For Haskell, Facebook's spam detection system, Sigma[1], comes to mind, along with some use by banks (Standard Chartered); then there's a bunch of smaller places using Haskell (Wire, a secure messaging app, like Signal; Galois, a US defense contractor doing software verification and related things) plus some open-source tools like pandoc.

I know less about OCaml, but at least Jane Street is using it.

It's somewhat niche, but it's not like it's only used for hobby or toy applications.

[1] https://code.fb.com/security/fighting-spam-with-haskell/

[floatboth]

Facebook's static analyzer Infer https://fbinfer.com is written in OCaml.

There's a lot of OCaml in the program verification space: https://frama-c.com http://why3.lri.fr https://alt-ergo.ocamlpro.com

And for mysterious reasons, OCaml is now kinda popular for.. web frontends. Bloomberg created an OCaml-to-JS compiler https://bucklescript.github.io and Facebook (again!) created an alternative syntax https://reasonml.github.io and this combination is apparently a new hipster way of writing web apps.

[jcora]

I don't think language use industry-wide is a good metric for how relevant compiler software is. It is entirely imaginable that a very serious compiler that proves the original point exist for a language with very rare industry use.