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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Ramasadagopan
You can call me Ram. Built & led teams across Google, Apple & Meta. Expertise in Firmware, OS, Wireless, Android. Early stage engineering experience as well.
Sashank
6+ years of launching games, with experience designing and tuning complex in-game economies. Currently exploring infra to help games & consumer apps scale. Excited to swap learnings around monetizing consumer apps :) (ex-BCG, King, MPL)
Yash
15+ years of experience working at companies like D.E.Shaw, inMobi, Zenefits, Square and Stripe. Started redscope.ai before. Now building Kinzy - AI parent buddy for parents, and curiosity platform for kids to unleash their creativity
Shannon
Working in Responsible AI and AI governance, and exploring how to build technology in service of a more just society. Previously, a PM at Scale AI. Berkeley alum. Based in San Francisco, and often found in NYC and Shanghai. Let's go sailing together.
Sahil
Exploring GenAI infra and applications. Recovering roboticist moving on from autonomous vehicles after 8 years
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
Ang
I am a startup founder in artificial intelligence, with a variety of research and product experiences on autonomous driving, videos, cameras, maps, advertisements, etc. My research aims at building lifelong autonomous agents. Previously, I worked at Google DeepMind, Baidu Apollo, Facebook AI Research, CMU Robotics, Apple, Google Streetview, and Comcast Labs DC. I received my Ph.D. in computer science from the University of Maryland College Park. My PhD thesis is spatial perception from visual and linguisitc information.
Bryan
Acquired software founder, interested in neuromorphic/SNNs, ai agents, swarm robotics, and other big bets. I've worked mostly in B2B and sales/marketing tools, but want to switch out of that ASAP. https://bryanhoulton.com/
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
Ning
Ning came from Meta FAIR where he worked as a research engineer on speech/text translation and multimodal LLM. Ning is exploring the intersection of AI applications and SMS platforms.

Our Spaces

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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