Launched this week
JEE-Verse
AI-architected 3D study & simulated market ecosystem.
8 followers
AI-architected 3D study & simulated market ecosystem.
8 followers
A gamified productivity space for students. Featuring a 3D Motivation Galaxy and a live virtual currency exchange (JEE Bank), all architected using Gemini AI and Firebase with zero manual coding.
How do you keep the data in sync between your fast 3D frontend and Firebase, especially when multiple users are trading at the same time?
@arya_marwaha Great question, Arya! I relied heavily on Firebase's native onSnapshot listeners to handle the real-time sync. Instead of manual polling, Firebase pushes document updates directly to the frontend via WebSockets.
To keep the 3D UI fluid, I decoupled the React data state from the Three.js rendering loop. When multiple users trade, the Firebase listener catches the market fluctuation, updates the React state, and the 3D environment just reads that updated state instantly without dropping frames. Orchestrated the whole data-flow via Gemini!
Is the virtual currency exchange tied to fiat or crypto?
@othman_katim Great question, Othman!
Currently, the virtual currency is a closed-loop gamified token completely internal to the JEE-Verse ecosystem. It's tied to 'Proof of Focus'—the more you study, the more you earn.
The 'JEE Bank' then simulates a market exchange where subjects act as volatile indexes. It gives students a dopamine-hit for their hard work without the real-world risk of fiat or crypto.
My goal was to create a 'Risk-Free Trading Floor' for high-stakes exam prep!
@othman_katim The live trading logic and real-time index fluctuations are all orchestrated via Firebase listeners, which allowed me to keep the UI fluid at 60fps
Launch Update: 7 hours in and the global traffic is flowing! 🚀 A lot of people have been asking about the architecture. The live gamified market (JEE Bank) and the 3D UI are entirely orchestrated using Gemini AI and a Firebase backend, with zero manual coding. The servers are holding up perfectly against the stress test. If any devs have questions about the specific AI prompting workflows I used to generate the database logic, ask away below!