You only get a few shots at building your life’s work – the kind of work that makes a difference, that can’t happen without you.
South Park Commons brings together talented people to share ideas, explore directions, and realize the opportunities that’ll get you there.
We’ve created this environment to help you take risks and launch your next endeavor. You don’t come here to play it safe — we’re here to dive off the deep end together.
We are an invite-only community working out of a sunlit building in the heart of South Park, San Francisco. Founded in the winter of 2015, we bring together creatives and entrepreneurs working on early stage ideas.
Our community members host lectures, brainstorming events, and workshops on topics that they’re exploring. Since our founding, we've deeply discussed the following topics:
A talk on the potential of engineered cells to be the first true precision therapeutics – agents that can act directly on the genomic and proteomic data and how they can enable powerful advances in oncology, autoimmunity, cardiovascular disease, regenerative medicine, and other challenging disease areas.
Technology has always been a catalyst for policy. In this session we brainstormed ways technology could accelerate water policies in California.
Strengths and limitations of modern techniques. Where will we be in 5 years?
As the co-founder of Meraki, Hans took it from 0 people to 330, he shared his learnings and insights.
The Nobel prize winning physicist gave us a tour of his lab in Berkeley and explained the research that led to the discovery that the universe’s expansion is accelerating.
How can we bring current technologies to space? How can we bring space technologies to earth?
An exploration of leadership, team dynamics, product focus, and other insights from 20 years of coaching CEOs, ranging from series A to IPO to Fortune 10.
Tom B: The Commons gave me a community as I transitioned from consumer startups to AI research. Learning with a group of confident and experienced explorers helped get me to the front of the field far faster than I thought possible. I recently joined OpenAI, where the friends I made while at the Commons have been incredibly useful mentors and allies.
Cinjon R: The Commons is one of the best parts of San Francisco. When I returned from New York, it was an exceptionally inviting space that welcomed me back with open arms and strong encouragement to do great work. I made it a point to trek across the city to work there every day (weekends too) because the community was so rewarding and the conversations so engaging. That's rare and it was in no small part due to the folks there that I decided to work at Google Brain.
David K: The Commons is a lot of things: a beautiful working environment, a ready pool of beta testers, a source of introductions to nearly anyone in the tech industry, and a group of friends. A personal highlight of our time working in the space was when we hosted a workshop about VR, and found the questions, ideas and feedback on our product to be incredibly valuable. Even after leaving the space, folks have been really helpful with introducing potential recruits, giving references and sharing insights about the VR space.
Ian T: There's a kind of restless courage to that place. It's rare to find folks who don't fear the uncertainty of starting something new, but rather embrace it. It was incredibly inspiring — we have some great memories from the Commons, and even better friends. I found the brainstorming sessions and workshops to be a great feature. The VR workshop in particular provided many fresh perspectives on VR interaction design and our product. The other teams at the Commons were always very generous with their time and expertise, in a way that is rare to find in other shared workspaces.
Jie T: What I liked most about the commons was access to a community of creative and thoughtful individuals to bounce ideas off of. In particular the AI brainstorming session and the followup conversations it spawned helped convince me that AI research (and specifically deep reinforcement learning) was at a compelling inflection point, and eventually led to my current position at OpenAI.