Built a web app to fix a problem I kept hitting as a rugby fan
A web app that helps rugby away fans find each other on match days, built from a real frustration using an AI development tool.
- Company
- Meet in the Stands
- Year
- 2026
- Role
- Built solo
- Discovery
- Product design
- AI-assisted build
At a glance
- The problem
- Away fans' plans for where to sit and meet were scattered across Facebook threads that were hard to follow and impossible to search.
- My role
- Everything: spotting the problem, defining the solution, and building it with an AI development tool.
- The result
- A live web app, being prepared for the 2026/27 season.
The problem
As a Leicester Tigers fan who travels to away games, I kept hitting the same questions before every match. Where are our fans sitting? Which pub is everyone going to? Where are we meeting?
The answers existed, but they were buried in comment threads. By the time you found one, the conversation had moved on.
What I did
I built Meet in the Stands to bring it into one place. Fans can share where they’re meeting, which seats they’re in, and browse upcoming away fixtures.
It’s simple by design. The goal was never a social network. It was to fix one coordination problem well.
I built it with an AI development tool, and I’m open about that. What mattered wasn’t writing the code myself. It was defining the problem and solution clearly enough for something useful to be built.
The result
The app is live and getting ready for the 2026/27 season. It’s a small example of how I approach AI in any product: start with a real problem, then pick the best tool to solve it.