Problem
High-handicap golfers often know their approximate distances, but club selection gets noisy under real course conditions: wind, elevation, tee-shot context, and second-guessing.
Project
A phone-first decision-support app that helps high-handicap golfers pick a club from their own bag using distance, elevation, wind, and tee-shot context when it matters.
High-handicap golfers often know their approximate distances, but club selection gets noisy under real course conditions: wind, elevation, tee-shot context, and second-guessing.
Pocket Caddy is intentionally narrow. It does not try to be a golf platform. It asks for the few inputs that change the club decision and returns a confident recommendation from the player's own bag.
The core model is transparent: calculate adjusted yardage from distance, elevation, and wind, then choose the closest club from the player's saved carry distances. Ties break toward the longer club, and the result includes safer and more aggressive alternates.
That last part matters. Showing alternates makes the recommendation feel more trustworthy, because the app is helping with a judgment call instead of pretending there is only one possible answer.
Future versions could add outcome logging, GPS distance, weather defaults, lie adjustments, and light learning from over/under club outcomes.