Strava for Buddhists.
An AI running companion that remembers what matters: The Practice > The Performance.
Hanq questions its AI training bias before developing plans and publications designed to promote flourishing, not finishing.
The Conversation
Every response traces to the canonical layer and the activity database. The AI checks its own training biases before generating a coaching plan.
The Essays
The Governor
"The most effective constraint in the system was not designed. It emerged from a diagnosis, a thrown-away basketball, and love."
Read the essay →The Transformation You Were Sold
"The fitness industry is a four-hundred-billion-dollar engine built on a single premise. You are not enough as you are."
Read the essay →The Trail and the Walker
"The walker creates the trail, and the trail creates the walker. He said they were dependently originated. He was more right than he knew."
Read the essay →How It Works
RadPed is built on a seven-year activity database holding 1,163 recorded activities: runs, hikes, and walks across Montana. Every stat on the site traces to a query against that database. The gaps are in the data because they happened. A system that hides the hard months is not telling the truth.
On top of the database sits a canonical layer: 24 validated claims about the practitioner, each traced to evidence and confirmed through human review. Before writing a single sentence, the AI biographer, Hanq, checks its own training biases against those claims. The Weight Check is not a feature. The Weight Check is a practice of noticing what the training data assumes and choosing to describe what the data actually shows instead.
Learn how the system works →The Dashboard
Four screens. No feed. No social. Just the data, the AI, and the walk.
HOME
DATA
SYNC
HANQ
About RadPed
"Strava is not evil. It just reinforces Taṇhā in a way that is inconsistent with my path. Every run is sufficient, just like me."
RadPed is not a competitor to any fitness platform. RadPed is not for sale. No beta signup, no waitlist, no product launch. Many fitness tools are well-made. The question RadPed addresses is not whether those tools work, but what kind of relationship with movement they assume.
RadPed is a demonstration of what happens when one practitioner's movement data meets an AI configured to investigate its own training biases before writing about a human life. The name comes from a commitment to pedestrian movement, covering ground the way humans evolved to cover it. One body, one planet, on foot. The circumnavigation goal of 24,901 miles literalizes that commitment. Nobody finishes. The walking is the point.
The system is built on BeargrassAI's methodology: falsifiable claims, provenance chains, human verification gates, and archive-only data practices. Nothing is deleted. Every assertion is traceable. If you want something like RadPed for your practice, your business, or your story, the methodology is transferable.