Software development is vital in shaping society, from finance to social relationships, and women are largely excluded. In this seminar that took place at Central European University (October 15, 2018 - Budapest), Orsolya Vásárhelyi argues that disadvantage is more due to gendered behavior than to categorical discrimination: women are at a disadvantage because of what they do, rather than because of who they are. Using data on entire careers of users from GitHub.com, she develops a measure to capture the gendered pattern of behavior: She uses a random forest prediction of being female (as opposed to being male) by behavioral choices in the level of activity, specialization in programming languages, and choice of partners. She also tests differences in success and survival along both categorical gender and the gendered pattern of behavior.