Jujutsu Creator Martin von Zweigbergk Joins East River Source Control as CTO

Martin von Zweigbergk, the creator of the Jujutsu version control system (jj), has been appointed chief technology officer of East River Source Control (ERSC), a New York-based startup building next-generation version control platforms. The announcement, made September 1, 2026, signals a serious push to rethink the storage layer of version control for the AI era.

von Zweigbergk started Jujutsu as a side project in late 2019, then turned it into his full-time work at Google. The project has over 30,000 GitHub stars and is licensed under Apache 2.0. Before Jujutsu, he worked on Fig, the Mercurial client that gave Google engineers a distributed workflow on top of Piper, the company's massive monorepo. He also contributed to Git, which remains the dominant VCS—96% of developers use it professionally, according to the 2022 Stack Overflow survey.

Why ERSC?

ERSC is building tools to help organizations manage the exponentially growing demands on source code management and collaboration, driven by AI reshaping the software industry. The company's first product, ERSC Storage, enters private beta later this month. von Zweigbergk will continue as a core maintainer of Jujutsu as an open-source project.

In a statement, von Zweigbergk explained the rationale: "Jujutsu improves the part of version control that sits on your laptop. But the remote server is still Git, which has a ceiling that comes fast for products at scale. We think the storage layer has to change to match the model, and that work can be better supported by a company than an open source project."

ERSC CEO Benjamin Brittain added: "The hard problems many engineering teams are just beginning to face are ones he's already been working on for over a decade. Having Martin lead our engineering affords ERSC a wholly different level of technical capability as an organization."

ERSC launched in 2025 with backing from Amplify Partners. The company is positioning itself to solve the storage bottleneck that Git presents for large-scale, AI-driven development workflows.