Moonshots capital

Moonshots Capital is an early-stage venture capital firm based in Austin, Texas, that specializes in seed stage investments. The firm focuses on technology startups led by exceptional founders who aim to innovate and transform work and personal life within large, growing markets. Moonshots Capital employs a disciplined investment process to identify companies with significant growth potential, often referred to as "moonshot" opportunities. The firm's second fund, established in 2020, continues its commitment to supporting visionary entrepreneurs and their groundbreaking ideas.

Craig Cummings

Co-Founder & General Partner

Farah Daou

Associate

Kelly Perdew

Co-Founder & Managing General Partner

Past deals in Maryland

PreciseTarget

Series A in 2019
PreciseTarget is a data science company helping retailers acquire, engage and reactivate inactive customers. They've taken a programmatic approach, using billions of SKUs and consumer transactions to create the first cross-merchant taste graphs (recommended product sets) for individual customers

Parking Panda

Seed Round in 2018
Parking Panda Corp. operates a community marketplace for parking in North America, allowing parking space owners to rent out underutilized spots to drivers through its mobile application. The platform enables users to search for, compare, and reserve guaranteed parking in over 40 cities. Additionally, Parking Panda provides a suite of parking management tools that address common industry challenges, including on-site payment processing, inventory tracking, and ticket creation. The company also offers PandaScan, a cloud-based solution that integrates hardware scanning technology with its digital parking services. Founded in 2011 and based in Baltimore, Maryland, Parking Panda became a subsidiary of SpotHero Inc. in 2017.

PreciseTarget

Seed Round in 2015
PreciseTarget is a data science company helping retailers acquire, engage and reactivate inactive customers. They've taken a programmatic approach, using billions of SKUs and consumer transactions to create the first cross-merchant taste graphs (recommended product sets) for individual customers