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Spinsense

The company offers a wearable device that provides tennis players with real-time, qualitative feedback on their swing and footwork, enabling continuous skill improvement without the need for a personal coach.

Founded 2025310+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Amateur and intermediate tennis players lack affordable, real-time coaching that provides detailed feedback on swing mechanics and footwork, relying instead on costly personal coaches or static, court‑mounted analytics systems.

Solution

SpinSense offers a wearable device equipped with on‑body sensors that capture a player’s swing and movement data during practice or matches. The collected data is processed by analytics software to generate qualitative feedback on technique, highlighting areas for improvement. Feedback is delivered instantly through a companion app, allowing players to adjust their form on the spot without waiting for a coach’s review. By eliminating the need for fixed equipment and reducing reliance on expensive coaching, the system makes advanced performance tracking accessible to a broader range of tennis enthusiasts.

Target Audience

SpinSense is aimed at recreational and competitive tennis players who seek data‑driven coaching without the expense of a personal trainer, as well as tennis clubs and academies looking to provide scalable performance feedback to members.

Features

  • Lightweight, body‑worn sensor suite that measures racket swing dynamics and footwork patterns
  • Real‑time analytics engine that translates raw sensor data into actionable technique insights
  • Mobile app interface presenting visual cues, swing quality scores, and movement recommendations
  • Continuous data logging for longitudinal performance tracking and progress monitoring
  • Compatibility with standard tennis rackets and apparel, requiring no additional hardware
This profile is AI-generated and may contain inaccuracies.