Great ideas rarely emerge from isolation

Mike

Michael graduated from Harvard College in 2017 with a master’s degree in CS, as well as a bachelor’s degree in CS and statistics. During college, he worked in the George Church Lab automating multiplexing technologies for cell culture experiments.

Sheetal

Exploring next-gen experiences at the intersection of media x social gaming x AI. Seasoned AI/ML product leader: voice agents, SLMs, speech AI, generative designs. Previously: @sarvamai, office ai @microsoft. Cooking, coffee, and geeking out on TV/shows (current obsession - Succession)

Benjamin

New founder after 8+ years at Stripe. Building Substrate: the best inference APIs for the top open-source AI models. Talk to us if you're interested in super fast SDXL infra or other use cases!

Michael

Former startup CTO, first technical hire through Series B at NCX. Interested in: LLM interfaces, evolution of Vertical SaaS, forestry, remote sensing. holkesvik.com

Michael

Michael Lai's six word story is “failed professional athlete, striving education entrepreneur.” He is currently building Tinycare, a network of micro daycares aiming to fix the childcare crisis. Previously, he built Promise, a nonprofit venture studio for early childhood development, Minerva Project, Google.org, and competed on Harvard's varsity golf team (where he was decidedly NOT the next Tiger Woods). His passion for education starts from the classroom — 6 years volunteer teaching preschool, elementary, and middle school.

Josh

CTO at Generally Intelligent, an AI research company focused building human-like intelligent systems. Angel investor. Always happy to help or chat about AI, ML, or anything I've worked on previously (crypto, VR, finance, manufacturing, gaming, etc)

Alexandra

Alexandra is the founder of Rubber Ducky Labs (YC W23), building internal tools for recommender systems teams. Alexandra's been a founding member for two MLOps startups (Gantry and SigOpt), and prior to that she worked in fashion tech (Polyvore and Rent the Runway).

Alex

Using AI to make phone service more affordable than ever before. Former hedge fund quant. Data nerd and occasional stand-up comic.

Keshav

Currently thinking about how people learn with AI; previously studied causal inference and machine learning at Stanford. Hacker at heart. Learning how to play squash and piano.

Daniel

Daniel Tatenko, seasoned detective - focused on leveraging AI to streamline crime reporting, reduce officer workload, and improve public safety by enhancing collaboration between law enforcement and the community.