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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Jiachen
I pioneer the creation of autonomous agents for the long-term needs of diverse real-world applications. Ex-DeepMind, LLNL, Electronic Arts. PhD in Machine learning at Georgia Institute of Technology.
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.
Zack
Freelance ML consultant; especially interested in research into reinforcement learning, unsupervised learning, and AI safety. Also deeply thinking about governmental dysfunction + what to do about it, but so far no breakthroughs :/
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!
James
Exploring healthcare and government. Previously at US Digital Service, 1st product manager @ Color Health, Dropbox, Google. Meditator, improviser, fan of Chipotle.
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)
Hanson
Building https://arcwise.app to bring data science to everyone. Formerly worked on ML infrastructure and developer tools as a MLE/SWE @ Meta.
Sai
I'm a 2nd time founder, exploring ideas in Enterprise SaaS - Industrial AI and Robotics, i believe the future is going to be dominated by domain specialised AI especially that is touching the physical world. I'm a technologist, have deliberately chosen to work my career around startups (as i find them far more fascinating than a conventional big tech role), been doing this for 11 years in my career now! I was working in the domain of Search before i founded a data intelligence company (Spoonshot - acquired). Especially the areas/ideas at the intersection of business, technology and fundamental sciences (ex: physics, chemistry) excite me. You may ask why "fundamental sciences", well ... thats an interesting story for the time we meet. Personal: - Just moved to US (in Nov 24), born in India - Loves food, both cooking and eating - Certified Advanced Open Water Scuba Diver
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.
Franck
Engineering leader with deep expertise in Web3 and large scale infrastructure. - VP of eng. at a DeFi crypto startup (Origin Protocol). Built smart contracts handling hundreds of millions of dollars. - Built search infra from ground up at Dropbox pre-IPO as tech lead. - Founded and managed the team that built the first Content ID system at YouTube pre Google acquisition. - Early engineer at PayPal, TLM for the Merchant facing engineering team

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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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