ALL ARCSARC 01
THE RESTAURANT WARS ARC
Origin Eats
Mapping Mumbai's 500+ restaurant battlegrounds.
ReactViteSupabaseTailwind CSSGeoJSON
PANEL 01
THE PROBLEM
問題
Restaurant entrepreneurs in Mumbai had no data-driven way to evaluate market opportunity: competitor density, cuisine gaps, and location demand were invisible without expensive research firms.
PANEL 02
THE APPROACH
アプローチ
Built a GeoJSON-powered SaaS platform that indexes 500+ restaurant data points across Mumbai's 24 wards. A rule-based AI engine scores venture success probability by analyzing location demand, competitor pricing, and cuisine trends. Integrated UPI payments, coupon system, and real-time Supabase queries for a full subscription lifecycle.
PANEL 03
THE RESULT
結果
A live, revenue-generating SaaS product that surfaces competitor density heatmaps and market opportunity layers, letting any aspiring restaurant owner make informed, data-driven decisions before spending a rupee on rent.
BATTLE HIGHLIGHTS 戦闘ハイライト
KEY ACHIEVEMENTS
01
GeoJSON-powered restaurant density heatmaps across Mumbai's 24 wards, indexing 500+ data points to surface competitor density and market opportunity layers.
02
Rule-based AI recommendation engine scoring restaurant venture success probability by analysing location demand, competitor pricing, and cuisine trends.
03
End-to-end deployment with authentication, subscription lifecycle, UPI integration, coupon system, and real-time data queries.
POWER-UPS USED 使用した技術
TECH STACK
React
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Vite
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Supabase
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Tailwind CSS
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GeoJSON
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