Mayank Agrawal

founder, roundtable · YC S23

I'm building the trust layer for the AI era. At Roundtable, we use behavioral biometrics to verify you're human in real-time — an invisible Turing Test for the internet. The AI fraud wave is the reason this has to exist now.

Companies like GrowProgress, C+R Research, and IFFS use Roundtable to protect their platforms. Our research has shown that leading CAPTCHAs fail against modern AI agents — and that behavioral biometrics don't.

Before this, I did research at Princeton on decision-making, cognitive fatigue, and computational models of the mind with Cohen, Griffiths, and Daw. Ran distance at Swarthmore. Went viral on HN during YC.

publications

• Stress, Intertemporal Choice, and Mitigation Behavior During the COVID-19 Pandemic — JEP: General, 2023
• A Computational Model of Unintentional Mind Wandering in Focused Attention Meditation — 2022
• Using Large-Scale Experiments and Machine Learning to Discover Theories of Human Decision-Making — Science, 2021
• The Temporal Dynamics of Opportunity Costs — Psych Review, 2021
• Scaling up Psychology via Scientific Regret Minimization — PNAS, 2020
• Pyglmnet: Python Implementation of Elastic-Net Regularized GLMs — JOSS, 2020
• Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning — 2019
• Predicting Beta Bursts from Local Field Potentials to Improve Closed-Loop DBS Paradigms in Parkinson's Patients — IEEE, 2018

writing

• Proof of Human — creating the invisible Turing Test for the internet
• Essays on sports, capital, and culture

"Thou mayest" — Steinbeck