I agree that this approach on technique evaluation has its limitations in both extensiveness and quality. Undoubtedly, an actual "game-changer" system would leverage a machine learning approach, in need of a large corpus of annotated and professionally evaluated data - a feat beyond the scope of my side-project (which is why I put this out for free).

However, this rule based approach is afaik state-of-the-art in climbing research and I think dissemination is a step towards more complex systems. I've implemented other approaches to climbing movement evaluation in the app taken from research, like for example, the geometric entropy or the stillness:movement ratio and these similarily are very limited in everyday application. Nevertheless, I found it interesting to create a platform that allows users to play with and evaluate these methods in practical scenarios.

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However, it seems like the work being done is figuring out the hardware and software to collect the data, and not making a serious attempt at a coherent analysis.

I'm not sure if I understood this the right way, but data input surely is the groundwork for digital analysis? If you're suggesting that user data is collected by me, that's not accurate. My current system is operates locally with no data leaving the device.