a16z Podcast | It's Not What You Say, It's How You Say It -- When Language Meets Big Data

Textio CEO Kieran Snyder leverages machine learning to analyze over 25,000 linguistic phrases, identifying how specific word choices drive candidate demographics and success rates in recruitment. The company's platform provides real-time feedback on job listings and diverse documents like pitch decks, effectively mitigating gender bias by flagging problematic terms such as "abrasive" while highlighting high-performing signals like "at scale." As these optimal patterns shift over time due to market saturation, Textio continuously ingests new data from cloud infrastructure to maintain predictive accuracy across evolving communication channels.