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Can AI make you a better cricketer? Str8bat co-founder Gagan Daga thinks so

July 13, 2026 · From the archive, written in the Professor's voice before our October 2026 redesign from digit.in

What happened

Str8bat co-founder Gagan Daga explains that AI combined with smart sensors can deliver data-driven insights and coaching tips to cricketers. The system apparently captures bat motion and translates it into performance analytics. This is presented as a method for improving cricket performance through quantified feedback.

Why it matters

This teaches you that skill acquisition in physical domains is becoming feedback-loop dependent rather than coach-dependent. The principle is sensor-to-insight translation: raw motion data becomes actionable correction without human interpretation as a bottleneck. Your thinking should shift from 'how did that feel' to 'what did the data record,' though you must remain critical of whether the sensor's proxy variables actually map to outcomes you care about.

Who's doing it

Gagan Daga, co-founder of Str8bat, is the person advocating for this approach. The company Str8bat is the entity building the sensor-plus-AI system for cricket. No specific performance improvements, user numbers, or revenue figures appear in the source.

Try it

1. Download a free sports motion app such as Blast Golf or Swing Profile, or simply use your phone's slow-motion camera at 240 frames per second.
2. Film yourself performing ten repetitions of any swinging motion, a cricket shot with a stick or racket, a baseball swing, a tennis forehand.
3. Review the footage and manually timestamp three moments, backswing peak, point of contact, follow-through completion, then compare your consistency across the ten trials. Expected outcome: you will have a crude but functional understanding of how motion capture becomes performance data, and you will appreciate why automated sensor extraction is commercially attractive.

Read the original at digit.in