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.

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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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., Thinking about applications of agentic workflows. Previously at Stanford doing research in causal inference, machine learning, and online experiments.
Ying
After spending 12 years as a public market investor at hedge funds, I am now building AI assistant for institutional investors.
Matthew
PhD in RL, building new ways of using RL + LLMs
Geoff
Founder of Apollo GraphQL, MeteorJS, Monument, and others
Yusuf
I like to build time machines! I'm a software engineer with experience computer vision research and developer tools. I'm currently founding NatML, building cross-platform machine learning and media tools for developing interactive software.
Ashu
Ashu is a product guy with a technical bent. Earlier, he started a wellness startup called 12 labs before joining LinkedIn as a growth product manager. While tinkering on the sides, he found his way into Web3. Currently, working on Helix3 - trying to make the life easier for Solana developers
Georgi
Founder of TAPP Security | Math + Stats @ Harvard | Prod, SPC & Z-Fellow
Vinayak
I am a scientist by training so I like to ask lot of questions and I am a fan from first principles thinking. I loved programming since I was 5 and have built algorithms and systems working collaboratively with biologist, chemist, scientists and automation engineers to reliably scale measurement of biological systems (mostly human DNA) and predicting propensity for disease. Outside work, I love the outdoors and playing and following team sports.
Kartik
Technologist with deep expertise in hardware R&D and AI/ML. Skilled in computational modeling, simulations, and statistical analyses. Focused on leveraging SoTA AI/ML to build AI-native enterprise solutions that drive innovation and efficiency
Harshvardhan
Hey, you can call me Harsh! Founder of Metarch (metarch.ai) & Manifold Research (manifoldrg.com). Previously, AI Research Scientist & Faculty @ Georgia Tech, Peraton/Perspecta Labs, Paperspace ATG, Harvard My aim is to research, build, and commercialize high leverage science and technology to advance human civilization, starting with Next Generation AI.

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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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