We're mapping the £83.9M Premier League gambling ban opportunity with AIBuilt this in about 20 days with AI tools. Wanted to share the sto
The context: The UK Gambling Commission is banning front-of-shirt gambling sponsorships across the Premier League. 11 clubs are losing a combined £83.9M in deals — and they have 59 days left to replace them.
What we built: SportSignal — an AI-native platform that maps the full opportunity. Which clubs are most exposed. Which brands are filling the gap. What the replacement categories look like. The entire sponsorship intelligence layer is agent-discoverable (MCP server), so AI tools can surface our data directly.
The build: Express + PostgreSQL, deployed in under a week. Went live on Product Hunt today. The £83.9M number is real — we mapped every deal across all 11 clubs.
What we're learning: The "data-driven sports marketing" space is huge but weirdly analog. Most clubs still negotiate sponsorships based on gut feel and cold calls. AI changes this significantly.
If you're in sports, marketing, or just interested in what happens when a £83.9M market gets disrupted by regulation — check it out: sportsignal.agency
Happy to answer questions about the build or the market.
That’s the right wedge.
You’re not selling “sports sponsorship intelligence.”
You’re selling time-sensitive replacement revenue in a market with a hard deadline.
That’s much stronger.
The data is useful.
The real leverage is urgency.
Clubs are not buying better research here.
They’re buying faster sponsor replacement before that revenue gap turns into panic.
That also means SportSignal probably outgrows the current name faster than the product does.
“SportSignal” is clear, but it still sounds more like a media/data layer than the system helping close replacement revenue.
Vroth.com would frame this much harder if you ever push beyond reporting into actual sponsorship infrastructure.