If you paid very close attention it was actually clear from the start that the idea was to build a next gen systems language, taking the lessons from Swift and Rust, targeting CPU/GPU/Heterogeneous targets, and building around MLIR. But then also building it with an eye towards eventually embedding/extending Python relatively easily. The Python framing almost certainly helped raise money.

Chris Lattner talked more about the relationship between MLIR and Mojo than Python and Mojo.

In their original pitch that was definitely part of it: take Python code, add type hints, get a big speedup. As they've built it out it seems to have diverged.

They also advertised a 36,000x speedup over equivalent Python if I remember correctly, without at any point clarifying that this could only be true in extreme edge cases. Feels more like a pump-dump cryptography scheme than an honest attempt to improve the Python ecosystem.

From the site:

Python interop > Mojo natively interoperates with Python so you can eliminate performance bottlenecks in existing code without rewriting everything. You can start with one function, and scale up as needed to move performance-critical code into Mojo. Your Mojo code imports naturally into Python and packages together for distribution. Likewise, you can import libraries from the Python ecosystem into your Mojo code.

> they intended to make it compatible with existing Python code

That was the original claim, but it was quietly removed from the website. (Did they fall for the common “Python is a simple language” misconception?).

Now they promise I can “write like Python”, but don’t even support fundamentals like classes (which are part of stage 3 of the roadmap, but they’re still working on stage 1).

Maybe Mojo will achieve all its goals, but so far has been over-promising and under-delivering - it’s starting to remind me of the V language.

That was what was originaly advertised, they wanted to be what Kotlin is to Java but for Python. They quickly turned tails on this.

That and the not completely open source development model is what has always felt very vaporwary to me.

isn't that achieved by Codon?

The communication had me try to run some very simple python code assuming it of course should run (reading files line by line), which didn't work at all.

For me this was a big disappointment, and I wonder how much this has backfired across developers.

Really the only thing good about Python is its ecosystem.