Suggestions
Nikhil Krishnan
Founder of Out-Of-Pocket
Nikhil Krishnan is the founder and "Thinkboi" at Out-Of-Pocket, a platform aimed at making healthcare more accessible through humor and relatable content. He has a background in sustainable development and business management, having graduated from Columbia University in 2014. His professional experience includes roles such as the Strategic Partnerships Manager at TrialSpark and Senior Industry Analyst at CB Insights, where he focused on digital health and biotechnology trends.
At Out-Of-Pocket, which he founded in February 2020, Krishnan uses memes and humor to educate people about the complexities of healthcare operations. His approach aims to demystify the healthcare system and engage a broader audience.14 He is also active on Substack, where he publishes a newsletter that has gained significant traction, reaching tens of thousands of subscribers.23
In addition to his current venture, Krishnan previously founded Get Real, a platform designed to facilitate structured online-offline friendships, and has held various internships in organizations like Uber and the Earth Institute.14 His work emphasizes a blend of humor and critical analysis of healthcare, making complex topics more digestible for the general public.
Highlights
Our belief at Out-Of-Pocket is that semi-structured activities with peers are going to be the only way to tell hype from reality.
Reading the Data Camp applications this year has only reinforced the thesis
For example, several people are experimenting with AI in really cool ways (e.g. several applications walked through their agent harness setups) but also that people struggling with a lot of questions and want to know if other teams have found solutions or are struggling quietly too (e.g. how are people demonstrating causality in value-based care arrangements? How are people benchmarking model performance internally?)
This is exactly the kind of environment we wanted to create at our conferences
Quote by an AI researcher on the challenge in designing foolproof systems for AI agents: “There is considerable overlap between the capabilities of the smartest agents and the judgment of the dumbest users.”

