Executive Summary
The Problem
Section titled “The Problem”Opening a restaurant in Hong Kong is a $500K+ bet. Most people decide using gut feeling, a broker’s pitch, and walking around.
That’s insane when the HK government publishes 3,712 datasets for free.
Three Layers
Section titled “Three Layers”1
Open Data
3,712 datasets: restaurants, population, transport, rent
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2
Math Models
Huff, Gravity, Catchment from academic literature
→
3
Company Input
Your concept, pricing, target customer calibrate every formula
Then: AI agents (Claude Opus) simulate 10 consumer personas stress-testing the location.
Key Numbers
Section titled “Key Numbers”3,712
Open Datasets
17,154
Licensed Restaurants
289
Competitors in 400m
~$0.50
Total Analysis Cost
Case Study
Section titled “Case Study”14 Wa In Fong East, Sheung Wan — historic dried seafood street, transitioning to mixed cafés/galleries. 200m from Sheung Wan MTR.
How to Read This
Section titled “How to Read This”Each page is atomic: one concept, 50-80 lines, cross-linked. Start anywhere:
- Open Data — What free government data exists
- Models — Mathematical formulas, one per page
- Company Input — How YOUR concept changes the math (NEW)
- Application — Case study, agent simulation, verdict