However, systematically performing robust N=1 trials individually across multiple substances can be impractical—too laborious and time-consuming for most people. An interesting business model might be a startup that facilitates personalized N=1 experiments at scale: providing users with high-quality compounds, matched placebos, structured dosing schedules, and data-tracking tools. This could empower more individuals to accurately assess personal efficacy across a wide variety of substances, potentially offering valuable, personalized insights that large-scale clinical trials can’t capture.