Dexterous robot learning has a data scaling problem. Chinese startup X Square Robot's TwinDEX is taking an interesting approach by pairing a wearable manipulation interface with a structurally matched dexterous hand for the X Square Robot. Instead of collecting demonstrations directly on the robot, humans can perform the tasks while the wearable system captures the motion, contact, visual, and timing information needed for training. The hardware is designed to stay aligned across data collection and robot execution, reducing the embodiment gap that can make robot-free demonstrations difficult to transfer. The reported results are compelling: → 20+ sub-actions in a standardized chemistry workflow → Policies trained from scratch using robot-free data only → Comparable learning efficiency to on-robot teleoperation data TwinDEX is essentially treating the collector, robot hardware, data, and policy as one system — a promising direction for scaling real-world dexterous robot data.