Mayank Agrawal

founder, roundtable · YC S23

I'm a decision scientist turned founder. I studied how humans make decisions at Princeton with Cohen, Griffiths, and Daw — and ran distance at Swarthmore before that.

At Roundtable, we build the invisible Turing Test for the internet: behavioral biometrics that catch AI agents by how they act, not what they produce.

Companies like GrowProgress, C+R Research, and IFFS use Roundtable to protect their platforms. Our research on Proof of Human went viral on HN.

roundtable research

• Proof of Human: creating the invisible Turing Test for the internet
• Benchmarking Bot Detection Systems Against Modern AI Agents
• Benchmarking Leading AI Agents Against CAPTCHAs
• AI Capability isn't Humanness

minds, machines, and markets

• Guilty until proven human: a brief history of the Turing Test
• Three is more than two
• The Cartel
• The Most Interesting Fund in the World

further research

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