# AthDash

> AthDash is a causal performance engine for serious endurance and hybrid coaches. It helps coaches determine what changed, why it changed, and when the evidence is strong enough to make a claim.

Primary URL: https://athdash.com/
Contact: conal.hg@gmail.com
Status: Early access

## What AthDash Does

- Connects athlete data from wearables, training files, and coach exports.
- Compares signals against each athlete's own baseline, not a generic population cutoff.
- Estimates within-athlete relationships between training inputs, recovery state, and performance outcomes.
- Returns confidence intervals and evidence licenses so coaches and AI agents do not overclaim.
- Treats "insufficient evidence" as a valid answer when data is too thin.

## Core Concepts

- Causal, not correlational: AthDash estimates whether one input plausibly moved an outcome after accounting for confounders.
- Within-athlete: AthDash answers from the athlete's own history first.
- Effect modifier: A condition that changes the strength or direction of a training relationship.
- License ladder: A machine-readable ceiling on what an agent may claim or do with a finding.

## Best Pages

- Home: https://athdash.com/
- Field Notes: https://athdash.com/blog/
- Effect modifiers: https://athdash.com/blog/effect-modifiers.html
- Sitemap: https://athdash.com/sitemap.xml

## Audience

AthDash is for coaches, performance teams, and builders of coaching agents. It is not a medical device and does not provide medical advice.