Architected the central platform for Moncho.ai, bridging a high-performance public frontend for market exploration with a secure, real-time CMS for internal data governance.
Situation
Needed a scalable architecture to serve complex, multi-dimensional market intelligence data to users while providing administrators a robust system to manage taxonomy and landscape structures.
Task
- •Engineered the Next.js public application featuring interactive React components for dynamic market maps (e.g., Pricing Scatters, Ecosystem Maps).
- •Built a secure internal CMS using Supabase for real-time CRUD operations, role-based access control, and complex relational data modeling.
Result
- •Launched a highly responsive platform enabling users to explore 50+ emerging market sectors visually.
- •Streamlined internal data management, allowing the core team to update landscapes and taxonomy instantly without developer intervention.
My Contribution
- •Designed the end-to-end full stack architecture connecting Next.js with PostgreSQL via Supabase.
- •Developed complex, highly interactive data visualization components.
Key Results
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Performance
Optimized core web vitals resulting in fast load times even on high-density data visualizations.
Unified CMS
Data Governance
Centralized all data management into a single, secure CMS dashboard.
Skills & Technologies
next.jsreacttypescriptsupabasepostgresqltailwind csssystem design