Meet the Team

A small team with an outsized obsession.

Snowball was founded by three builders with one mission: help every creator and content team build a smarter content engine.

The founders

Gannon B

Gannon B

Co-Founder

Gannon leads the business side of Snowball, from vision and partnerships to customer relationships and growth. He works closely with creators, agencies, and content teams to understand what they need, where current tools fall short, and how Snowball can help them make better content decisions.

Chase G

Chase G

Co-Founder

Chase helps lead the engineering and product architecture behind Snowball. His work focuses on building reliable systems, clean user flows, and practical tools that help teams move from raw data to better content strategy.

Matt E

Matt E

Co-Founder

Matt helps build the engineering foundation behind Snowball. His work focuses on the systems that collect, process, structure, and analyze social content data at scale.

Built deliberately, not by accident.

Snowball sits between huge volumes of social data and the decisions teams make from it. That only works if the foundation is solid: rigorous engineering, clean data, and numbers you can actually trust. We hold ourselves to a simple bar: if we can’t stand behind a number, we don’t ship it.

Our standards

The bar we hold every release to.

Strong Engineering

Snowball is not built on vibes. Every feature is designed, reviewed, tested, and improved before it reaches users. We care about the details most teams never see: data structure, system performance, edge cases, reliability, and how the product behaves when teams depend on it every day.

High-quality data

Insight is only as good as the data underneath it. Snowball is built around structured, cleaned, and organized social content data so teams can analyze performance from a stronger foundation. We focus on reducing noise, improving consistency, and making sure the data inside Snowball can support real decisions.

Accuracy before assumption

Snowball is designed to show what actually happened, not what sounds impressive. When Snowball surfaces a metric, trend, signal, or recommendation, it should be grounded in observable data. No inflated numbers. No hallucinated insights. No guesswork disguised as analysis. We would rather be accurate than flashy.

Security by default

Content strategy data, creator performance data, campaign data, and team workflows deserve to be protected. Snowball is built with security in mind from the foundation up. We think carefully about access, permissions, data handling, and the systems that keep customer information protected. Trust is not a feature we add later. It is part of how Snowball is built.

Want to build with us?

We’re always looking for creators and builders who share the mission.