A recent study of code contributions by Corin Faife of the top 100 cryptocurrencies found an alarming disparity between gender code contributions. Faife used the Github API, Messari's OnChainFX, a custom Python script, and Genderize.io, an analytics tool which determines gender on a given first name, to scan 1,026,804 lines of code. Of the code, 691,134 was male, 47,678 was female, and 287,992 was unknown for an average of 4.64% code commits coming from females. Of the million lines, males made an average of 13 more contributions than females and ten more than unknown contributors. In Faife's view, the disparity aligns with other studies and points toward systemic issues within the nascent tech market.