> case study · batch 1 student · personal color
Too expensive for a kid? She built it herself — and Harper's Bazaar noticed.
Vision, by Peach — 12 years old, Batch 1 — analyzes your personal color from one selfie: 12 color seasons, free, in Thai and English. Featured in Harper's Bazaar Thailand.
Peach wanted to know her personal color — the science of finding the tones that flatter your skin and make everything you wear look right. But a studio analysis takes hours and costs thousands of baht, and her parents' verdict was fair: too expensive, not worth it for a kid. For most people the story ends there.
The dream didn't stop at the price tag
Instead of letting it go, Peach — 12 years old, grade six — came to build with us in Batch 1. She kept the question that started it all: "why does finding your personal color have to be expensive?" And she answered it the way we teach: by shipping.
Her app, Vision, does in seconds what the studio does in hours. Upload one selfie and AI analyzes your skin tone, places you among the 12 color seasons, and recommends the shades that suit you — with a try-on for outfit colors and a shareable Color Card for friends or your stylist. Free, on the web, in Thai and English.
Then the fashion press called
Harper's Bazaar Thailand featured Vision — writing that innovation that changes the fashion industry doesn't have to start with a global brand; it can start with one small person who believes good fashion should be within everyone's reach. That's a grade-six student from our first batch, in the pages of an international fashion magazine, with a working product.
This is what the playbook does in the hands of a student: a real problem she personally cared about, priced out of reach — turned into software that removed the price entirely.
> built by a batch 1 student
She learned the playbook in Batch 1. Then she shipped.
Vision isn't a team demo — it's a student's own build from our first batch. If a 12-year-old can ship an app the fashion press writes about, imagine what your kids — or your team — could build. Come learn with us.

