Well, I disagree because I do see it referenced to a lot. Sure it depends on the crowd but if you have never heard or seen someone joke with 420 then I think that's also quite exceptional.
What you can do, and is probably the best way to get this to work, is tackle this with machine learning. You will need lots sound samples of rocks, with details of the rock, and feed them to some (probably deep learning) model.
Speech mimicking with AI has shown we are able to mimick voices, so I think a similar approach would work for rocks. Probably need some tuning and a bit different architecture for nice results since the application differs a bit.
It will of course be an approximation, but that is any calculation. Since all models are wrong, but some are less wrong than others.
People seem to state it lacks some smartwatch functionalities, is that very different than the garmin models? Like, syncing google calender or latest incoming wapp message so you do not have to pick up your phone would be nice, but it does not feel like a necessity. Running is of a higher priority.
Sounds cool, thanks. I like the idea of having control over what software is installed on my watch, really not fond of bloatware. I know for android smartphones this really depends on the model and android installation. To what extent can custom software be installed on smartwatches?
Pff what an aggressive players