This document discusses scaling self-experimentation through an open architecture for mobile health. It proposes creating common modules to define variables, study protocols, and measures that would make self-experimentation results comparable and able to be aggregated. This would allow individuals' experiments (n=1) to scale up to a larger evidence base through reuse, integration and standardization across different studies and contexts. The goal is to get further together faster in understanding individual health and developing data-driven feedback loops.