By Marcell Balogh, CTO / Lead Data Scientist & ML Engineer, Dinkmate.ai Everyone building sports tech right now seems focused on the same thing: where did the ball go. Placement, speed, spin, whether it landed in or out. All useful. All, we'd argue, downstream of the thing that actually matters. A ball can travel from point A to point B and land well or land badly, but the ball doesn't decide that. Your body does. The stance you set up in, the angle of your knees, how far your feet are...

By Marcell Balogh, CTO / Lead Data Scientist & ML Engineer, Dinkmate.ai There's a comfortable story going around ML circles right now: get enough data, point a solid off-the-shelf model at it, and the problem basically solves itself. Architecture matters less than it used to — data is king, or so the story goes. We believed a version of that too. Turns out the devil is in the details. Without a real, purpose-built architecture, no amount of data saves you — the ball's just too small, too...

Pickleball is the fastest-growing sport around the globe, and clubs and leagues are feeling the growing pains. New members show up faster than organizers can figure out where they belong. Drop into any open play session and you'll see the same problem: a beginner who just bought their first paddle gets paired against a former college athlete, the beginner spends the whole game chasing balls they'll never reach, and the stronger player stands around waiting for a real rally. Nobody has fun....