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.
A gym-facing SaaS that turns raw phone-scan hold detection into an automated routesetting log, letting setters photograph a wall after each reset and instantly generate a digital route catalog for members.
01
What to build
MVP
A tablet/phone app for routesetters to scan a wall post-reset, auto-tag holds via the CNN/YOLO pipeline, and push the generated route map to a gym's existing member app or a simple embeddable widget.
Why it can be better
TopLogger and KAYA still require manual data entry from routesetters; this automates the tedious cataloging step that fragmented hobbyist CV repositories never packaged into a usable gym workflow.
Revenue model
Per-location SaaS subscription (~$100-250/month) sold to multi-location chains like Central Rock Gym or Movement, priced against staff time saved on manual route entry.
Target user
Routesetters and operations staff at multi-location climbing gym chains.
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.
