Obviously, sync (Dropbox) is just the beginning, and Dropbase takes it a step further. There's been times where I had a (big-ish) CSV and wanted to run a few tests/queries on it. Auto-importing it into some database and being able to run SQL/Python on the dataset (without bootstrapping that locally) would've been a godsend.
Good luck with this!
One of the features we added is to do make the "magic" replicable (or deployable in production). So we keep track of processing steps and let you export Python code that that applies those same processing steps. This could be used to run the exact same steps in a larger version of that dataset later.
You can then work with it through the ORMs methods, with regular SQL or with external tools like Tinkerwell that just displays them in a tabular fashion.
I've seen the thread linked as a 'tech people don't appreciate simplicity' but he actually acknowledges Dropbox could be very useful and wishes success.
The other criticisms were also very valid at the time, and were acted upon.