A finished research run on an example topic, shown in full — the findings, the sources behind them and the product versions are all the run's own output, except that a product name may have been changed where it matched an existing brand.
An injury-aware coaching app that scans a climber's usual wall and generates warm-up plans and route suggestions filtered by their specific shoulder, elbow or finger injury.
01
What to build
MVP
A hold-detection scanner combined with an injury intake form (injury type, restricted movements) that filters generated routes and warm-ups, starting with a curated list of common climbing injuries built from physiotherapist input.
Why it can be better
No existing product offers injury-tailored route or warm-up guidance; climbers currently rely on peer forum threads, and KAYA/Mountain Project have zero personalization for physical limitations.
Revenue model
Subscription tier (~$12/month) priced above general climbing apps, sold to injured or returning climbers who already pay for physical therapy and would pay to keep training safely; optional B2B licensing to gyms for member retention programs.
Target user
Climbers recovering from or managing chronic shoulder/arm/finger injuries.
02
Context
The opportunity this answers
Build a phone-camera app that scans any climbing wall to auto-map holds and routes, giving climbers and home-wall builders personalized route and training suggestions.
Why now
Fresh CV datasets and hold-classification models built in the past year finally make automated wall scanning technically feasible, but they remain scattered single-star hobbyist repositories with no packaged product, while chain gyms keep expanding and search demand holds steady at 8,100-18,100 monthly, giving a real, growing user base ready for a tool that turns this raw technology into something usable before a larger incumbent bundles it first.
