Anaconda makes on the order of 100M a year “solving” data science package management. I would argue it has a significantly worse product, attacking a much smaller part of the ecosystem.
It seems easy to imagine Astral following a similar path and making a significant amount of money in the process.
In theory, Anaconda solves the next higher level of the Python package management nightmare, namely knowing what versions are compatible with each other. But that could presumably be done on top of uv.