18 months ago, I watched my mom waste 40 minutes at a crowded shopping mall in Ankara. She drove in circles looking for parking, gave up frustrated, and went home. The kicker? There was another mall 2km away that was practically empty. She just didn't know. I thought: **"It's 2025. We have GPS in every pocket. Why don't we have real-time crowd data?"** Then I discovered why: Traditional "smart city" cameras cost **$66,000 each**. Installation requires experts and takes 30+ minutes. The data stays locked behind government firewalls. **Month 1:** Bought my first ESP32-CAM module ($4 on AliExpress). Crashed Arduino IDE 47 times learning to code it. **Month 2:** Built crude prototype with Next.js 15 + React 19. Convinced a local coffee shop owner to let me install it. He thought I was crazy. **Month 3:** Got 10 friends to test the web app. They loved it. Shared it in WhatsApp groups. User #47 was a complete stranger - that's when I knew we had something real. **Month 6:** First business customer - a mall manager who was skeptical. *"You're telling me a $4 device can replace $66K cameras?"* YES. We proved it with live demos using Edge AI. **Month 12:** 100 ESP32-CAM devices deployed across Ankara. Local newspapers wrote about us. Municipality started asking questions about city-wide deployment. **Today:** 10,000 active users, 500 IoT devices monitoring 300+ locations, patent pending, $50K+ ARR growing 40% monthly. Still feels surreal typing that.

City-V Smart City

Help citizens avoid crowds - AI monitoring at 3% the cost

Help citizens avoid crowds - AI monitoring at 3% the cost