I'm glad that it's open source now and they are supporting a lot more hardware. There are some interesting features that I hope the language design community pays attention to.
It's built on top of MLIR so you can make compiler optimizations in a library instead of the compiler. I believe Reactant.jl has been using MLIR for optimizing higher level abstractions in Julia. Imagine a Lisp with that capability.
Mojo as MLIR++ is how I've thought about it as well.
Many users will find transpiling static python to mojo an interesting path.
Updating py2many --mojo to 1.0 to see what breaks.
Also looking forward to translating existing python adt module to mojo Variant in phase 2. I hope the mojo pattern matching proposal looks more like rust (expression) and not like python (statement).
IMO saying julia is literally a lisp is just not worth the type of discussion it generates. I'd much prefer to say the important part: Julia learned a ton of very important lessons from the lisp family of languages, and has integrated a lot of them.
The parser and lowering passes were in femtolisp, and yes Jeff wrote femtolisp.
However, There's now a pure julia implementation of the parser that's on by default, and the julia implementation of lowering is also almost done and ready to replace the femtolisp one.
But honestly, these things aren't really what I mean when I say julia is lispy, those are just easter eggs. I more mean the language design and semantics.
It's built on top of MLIR so you can make compiler optimizations in a library instead of the compiler. I believe Reactant.jl has been using MLIR for optimizing higher level abstractions in Julia. Imagine a Lisp with that capability.