Great ideas rarely emerge from isolation

South Park Commons is a community of technologists ideating and validating what to build next. We believe this shouldn’t be done alone. Our members range from exited founders and highly-cited researchers to new graduates and first-time entrepreneurs. What unites us is ambition, ability, and a mutual commitment to helping each other navigate -1 to 0.

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south park commons community

OUR Members

A Modern Day Xerox PARC


We focus on highly technical builders in the -1 to 0. Over the last decade, we have had 1,000 members join us to start companies, pursue research, and work on other ambitious projects.

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Cinjon
I have a PhD in machine learning focusing on vision. I also have a deep understanding and experience in crypto. And I run a circus studio in Dumbo. Go to cinjon.com for writings.
Olivia
Currently building something in the generative AI space. Previously a data leader at Stitch Fix and Uber creating customer growth and marketplace technology.
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)
John
Machine learning researcher and quant trader. My professional work and academic research focuses on building robust and reliable machine learning systems. Previously built businesses in electricity markets. Once distracted by crypto. UC Berkeley PhD in machine learning. Stanford CS/EE degrees.
Chandan
Chandan is a product leader and ex-cofounder (Adda247) with experience across Edtech, Insurance, Logistics & Internet. An IIM Ahmedabad & IIT BHU (CS) alum, he's now building Kinzy—an AI-powered edutainment platform making screen time productive for kids.
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
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.
Jackie
After my PhD in ML for materials science at MIT, I joined Lila Sciences as the first employee, building its scientific intelligence codebase and helping lay the foundation for a 100+ person company. Now I'm excited to develop new AI for materials science—or something entirely new!
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.

Our Spaces

San Francisco
New York
Bengaluru

What our members do


Our members have started 250+ companies, including several unicorns. Others have become core contributors to leading research organizations, open-source software projects, and academic institutions.

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South Park Commons
380 Brannan St, San Francisco, CA
© 2025 All rights reserved.
South Park Commons
380 Brannan St, San Francisco, CA
© 2022 All rights reserved.