Pair
Search for nearby NOVA devices, scan the robot QR label and move through Paired, Connected and Disconnected states.
Ponger
BLE control / pro drills / trajectory physics
A cinematic training command center for Nova S Pro. Pair the robot, build drills, tune ball physics, launch sessions and track progress from one mobile app.
Ponger turns Nova S Pro into a complete training workflow: discover the robot over BLE, select a course, design shot sequences, simulate trajectories, confirm launch and review the session history after the work is done.
Search for nearby NOVA devices, scan the robot QR label and move through Paired, Connected and Disconnected states.
Create a drill ball by ball: pan, pitch, speed, spin, frequency, interval, delay and repeat count.
Use guided lessons, bootcamp-style courses, coach videos and grip-specific paths for progressive practice.
Follow training duration, balls fired, active days, device status and profile-synced training history.
Start with a clean connection flow: scan for nearby NOVA robots, read device status, use the QR label prompt and enter the training surface only when the robot is ready.
The Android flow uses a deliberate launch ritual: "Ready to launch?", automatic countdown, swipe up to launch, swipe down to cancel. The website mirrors that sense of control with animated states and motion-first interactions.
Ponger is built around the NOVA robot family entry in the app product cache: a BLE-connected ping pong robot with product imagery, top-view device layout and a mobile-first control surface. The current Ponger website also describes Nova S Pro with near-net serve, 150+ ball hopper, compact body, dual-spin wheels and 264+ pro drill support.
A visual lab inspired by the app's trajectory and physics tools. Pick a table zone, tune speed, arc, frequency and spin, then run a shot animation before committing the pattern to a drill.
Design up to 8 balls in a custom drill with pan, pitch, speed, spin, frequency, timing and repeat controls.
The Android course cache contains 82 rows, coach names, cover images, likes, trained counts and grip tags.
Training history, active days, total balls and session summaries make practice measurable over time.
The launch experience begins with device preparation, connection readiness and a focused training entry point.
Top-view device imagery anchors placement, target zones and the real geometry of robot-to-table training.
Scanner states and Bluetooth feedback make hardware connection feel visible, not hidden behind a spinner.