DGDonavon Guyot

Current experiments · San Diego

I build systems that make hard-won progress visible.

Across endurance, enterprise healthcare, music practice, education, and verified software, I am interested in the same thing: making difficult work legible enough to learn from—and useful enough to compound.

Principal Solutions Engineer, Health & Life Sciences at Salesforce. Former CEO of Peaksware/TrainingPeaks. Early systems builder at Active.com.

Current experiments03 active signals

Rolling Note · Product · Active build

Practice should remember where the work is.

Exam Credits · Product · Active build

Education should begin with what you already know.

RosettaBitcoin · Open research · Public repository

AI can write software. Evidence must decide whether it works.

Three domains. One obsession.

Each project asks how a difficult process can retain context, expose trustworthy evidence, and make the next decision better.

01Product · Active build
Rolling Note Player showing Clair de Lune notation, transport controls, and practice context.

Rolling Note

Practice should remember where the work is.

Open experiment ↗
02Product · Active build
Exam Credits degree plan interface showing completed, planned, and remaining credit requirements.

Exam Credits

Education should begin with what you already know.

Open experiment ↗
See the questions, evidence, and current posture

The long view.

Endurance sport shaped my approach long before technology became my profession. A U.S. Junior National Triathlon Championship and the long work of Ironman training taught me to respect feedback loops, consistency, recovery, and the quiet compounding of good decisions.

More about the approach