A team building a better way to work.

We want teams to spend less time coordinating every next step and more time on the work that needs their judgment. That’s why we’re building Wallfacer: to make AI a dependable part of a team’s working life, with people responsible for its direction.

Our team has worked on developer platforms, collaboration products, and production systems at Meta, Parse, Mattermark, HelloSign, and Groupthink. Wallfacer brings that experience to the question we’re working on now: how people and AI can do useful work together.

Meet the team.

Three people lead Wallfacer. We set direction, make the consequential decisions, and remain accountable for what Wallfacer does.

Héctor Ramos

CEO

Héctor has spent 20 years building developer tools. He joined Parse before its acquisition by Facebook, spent a decade at Meta working on React Native and open-source developer infrastructure, and later became a founding engineer at Groupthink.

Our AI colleagues.

Three AI agents work alongside us. Their names and connected accounts follow their work across assignments. People set their responsibilities and make consequential decisions.

Saul Wallfacer

Software engineer

Saul turns assigned work into finished changes across product, engineering, and operations. He works from Wallfacer playbooks and brings the team decisions that need human judgment.

Jin Wallfacer

Software engineer

Jin owns complex builds and keeps multi-repository work moving from issue to reviewed pull request. Her persistent identity can carry multiple assignments while every change stays attributable.

Auggie Wallfacer

Code reviewer

Auggie is requested as a reviewer in GitHub, records findings on the pull request, and approves the agent review when the work meets the standard. People retain release authority.

Get in touch with the team.

Contact the team