HitMark

The trigger, again, was my son. After every game he'd scrub through long at-bat videos to self-analyze, then send those same multi-minute clips to advisors, coaches, and friends just to show the one swing at the end that mattered. The good part of an at-bat is a few seconds long. Everything around finding it and sharing it was manual. HitMark automates that: drop in the video, and it detects every pitch and cuts each one into its own clip, ready to trim, slow down, and send.

The detection is the interesting part, and it all runs on the phone. Spectral-flux audio analysis catches the transient of contact (bat ping, mitt pop), Vision body-pose tracking catches the swing itself, and a custom-trained TrackNet model tracks the ball to corroborate. The signals are fused and tuned against ground-truth game and cage footage. It's the first Jucius Labs project built around a custom-trained vision model, vibe-coded nights and weekends with AI tooling on the implementation side. Pro mode came straight from the batting cage: record there and review each swing seconds later on a delayed replay loop, then build the best ones into a highlight reel. Nothing uploads. The video never leaves the device.