Long-reads on how CricCuts cuts your highlights automatically, why on-device AI is the future, and the story behind the app — written by the person who builds it.
You can't fully feel your own technique — but a camera can show it to you, and your brain is built, right down to the neuron, to learn from what it sees. The science of self-observation — mirror neurons, prediction error, video self-modeling — and the exact cricket mistakes video fixes in batting and bowling, with real examples from Tendulkar, Kohli, Smith and remodelled bowling actions.
Interactive courseA guided, interactive course on the signal processing and small on-device AI models — MediaPipe Pose, Vosk and Silero VAD — that turn a raw net or match recording into a clean reel, automatically and entirely on your phone. Twelve modules, live demos you can poke, and a quick quiz on each.
Big pictureThe industry spent a decade making models bigger and more remote. The next decade belongs to small, specialised models running right on your device — faster, more private, greener and free. Here's why, and how CricCuts proves it.
Big pictureNot one giant brain, but a society of small specialists cooperating — the architecture of the human nervous system, and an emerging pattern in modern AI: mixture-of-experts, agent orchestration, and tools like Claude Code that run agents locally while leaning on the cloud. Graduate-level, in plain English.
The makerCricCuts is an independent, one-person project — built in late-night coding spells between early-morning matches, fuelled by billions of AI tokens and a few hundred cups of black filter coffee. The story, and a way to say thanks.
