Numerous metrics have been proposed for classifying and hierarchically organizing the complexity of chemical compounds (e.g., ). Various chemometric algorithms exist for the computation of chemical complexity, which consider metrics such as the number of atoms in a molecule, their connectivity, and properties such as symmetry which allow for the computational compression of their graphic representation. Figure shows the estimated evolution of the chemical complexity of FR CRNR products as a function of reaction generation. There is a general trend for generational product cohort complexity to rapidly increase from the starting materials, then decrease among all generations while allowing for the complexification of rarer species. Notably, there is a small cohort of very low complexity and molecular flexibility species generated in the network, most of which are key species implicated in prebiotic synthesis (see Figure ).