AI in sports is getting better, but I think the real challenge isn’t collecting more data anymore. It’s understanding what actually matters.
Video + performance data seems especially interesting because it can connect stats with what was actually happening on the field.
I’m curious - where do you think AI is genuinely helping sports teams today, and where is it still mostly hype?
AI is becoming a bigger part of sports apps - from player tracking and performance analysis to fan recommendations and automated highlights.
But I’ve been wondering: where should AI actually stop?
There’s a difference between using AI to help coaches or fans find useful insights and letting algorithms make every decision.
The best sports products will use AI as a support layer rather than trying to replace human judgment completely.
Curious what others think - where do you see AI genuinely helping sports, and where is it just unnecessary hype?
Not looking for ideas - I mean something you're actually trying to launch.
Maybe:
We work specifically on SportsTech products, and I’m happy to look at a few genuine cases.
For league admins, coaches, and team managers: what creates the most last-minute stress on game day?
I’m curious which issue takes up the most time and whether your current software actually helps - or if you still rely on spreadsheets, WhatsApp, texts, and phone calls.
Many teams and leagues still rely on spreadsheets, WhatsApp, and manual video review for everyday operations.
Which process wastes the most time in your club, league, or sports organization?
I've been talking with a few sports startup founders recently, and one challenge keeps coming up: everyone wants AI features, but very few know where to start.
With limited time and budget, building everything isn't realistic.
Would you focus on:
Video analysis
I'm curious to hear how founders, coaches, analysts, and sports-tech professionals would prioritize AI features that deliver real value rather than follow the latest trend.
I’ve noticed that many sports platforms focus on adding more metrics, dashboards, reports, and AI-generated insights.
But during actual training or competition, coaches may only need a few clear answers:
What changed?
Why did it change?
Which player needs attention?
What action should be taken next?
I’m curious to hear from coaches, analysts, and sports-tech professionals. Which metrics genuinely influence decisions, and which ones usually get ignored?