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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Irfan-ali
Former Instagram Product Lead with experience launching 0-to-1 products that grow quickly and persist. Can help with anything from recipe developing GTM plans to strategies for sparking network effects and building marketplace businesses.
Daniel
I'm Daniel, building SaaS for field worker employers. Previously, I worked early product & engineering roles at TikTok, Ramp, and Shop Cider. On the side, I'm a history buff and photographer :)
Bryson
Bryson is a builder that is excited about creating software and AI systems that interact with the physical world.
Aditya
Founder with an exit in energy space (Airprobe), led APAC biz and global solar @ Zeitview (drones and computer vision), cofounder @ susventures. Ideating to build venture scale climatetech biz with current focus on built environment(datacenters) and energy.
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.
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.
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!
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)
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

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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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