NFT Collection Tools
Built with Next.js & Supabase
Real-time portfolio tracking that works everywhere. Responsive design transforms desktop tables into mobile-friendly cards for 10,000+ collectors. (Click to enlarge)
The Challenge
NFT collectors need to track portfolio values, monitor sales history across 94,000+ transactions, and stay updated with real-time market data. Most solutions require manual tracking or offer limited mobile functionality, making it difficult to manage collections on the go.
Beyond basic tracking, collectors need automated data synchronization that runs reliably without manual intervention, mobile-responsive interfaces that handle complex data tables, and the ability to search and filter through massive datasets instantly.
The Solution I Built
A personal project for the 6529 NFT community, built over 12 months to help collectors track portfolios, analyze sales, and monitor the market. The platform fetches live data, combines it with automated price updates, and presents everything in a responsive interface that works seamlessly on mobile and desktop.
The platform includes a complete data management infrastructure:
- Real-time portfolio tracking - Live holdings combined with database prices updated every 5 minutes
- Complete sales history - 94,000+ sales since June 2022, searchable and filterable
- Automated data pipeline - Edge functions sync new sales every 5 minutes without manual intervention
- Responsive design - Desktop tables transform into mobile cards automatically
- Massive data handling - 17.5 million records with sub-second search across PostgreSQL
- Production reliability - 3,100+ daily API requests processed automatically for 6+ months
What Users Can Do
Track Any Collector's Portfolio in Real-Time
Enter any wallet address to see live holdings. The system fetches current ownership from external APIs, combines it with database prices (updated every 5 minutes), and calculates total values automatically.
Search 94,000+ Sales Instantly
Browse complete sales history since June 2022 with instant filtering and search. Sub-second response times across the entire dataset thanks to PostgreSQL indexing and optimized queries.
Access Anywhere on Any Device
Responsive design transforms complex data tables into mobile-friendly card layouts automatically. Desktop shows comprehensive tables, mobile provides scrollable cards—same data, optimized experience.
Rely on Automated Updates
Edge functions run every 5 minutes to sync new sales and price updates. Incremental sync only fetches new records, and the system recovers automatically from API failures without manual intervention.
See It In Action
Live Portfolio Tracking
Real-time portfolio tracking for any collector. Fetches live holdings when the page loads, combines with database prices (updated every 5 mins), and calculates totals automatically. Responsive design transforms desktop tables into mobile cards. Try it: 6529nfts.io/6529-portfolio/punk6529 (Click image to enlarge)
Sales History (94,000+ Sales)
Complete sales history since June 2022. Edge function runs every 5 minutes to fetch new sales (incremental sync only pulls new records). Search and filter 94k+ records instantly with sub-second response. Mobile-friendly card layout for on-the-go tracking. Live: 6529nfts.io/memes/sales-history (Click image to enlarge)
Why This Example Matters For Your Business
You might be thinking: "I don't need an NFT tracking tool—I need a real-time dashboard for my SaaS" or "I need an automated data sync for my e-commerce platform" or "I need a mobile-responsive analytics tool."
That's exactly the point. This project demonstrates transferable skills:
- Building automated data pipelines that sync external APIs reliably without manual intervention
- Handling massive datasets efficiently with PostgreSQL optimization for sub-second queries across millions of records
- Creating truly responsive interfaces that adapt complex data visualizations for mobile devices
- Architecting for production reliability with systems that run 24/7 serving thousands of users
- Implementing serverless architecture with edge functions and scheduled tasks for scalable background processing
If I can build an NFT tracking platform with automated data sync, massive dataset handling, and responsive mobile design—I can build your real-time dashboard, automated data pipeline, or analytics platform. The industry changes, the skills don't.
ℹ️ Project Note
This is a personal project with no public GitHub repository. The codebase is private and actively maintained, serving 10,000+ users in production for 6+ months.
Technical Implementation Details
For developers and agencies interested in the Supabase architecture, serverless functions, and database design
Why I Built This
I wanted to demonstrate my ability to build complete backend infrastructure while solving a real problem for the 6529 NFT community. The project showcases Supabase skills specifically: PostgreSQL database design, edge functions for serverless processing, scheduled tasks for automation, and production deployment serving thousands of users.
This was my first time building a complete full-stack application with a real backend. The 12-month development timeline reflects learning PostgreSQL, understanding serverless architecture, implementing automated data pipelines, and ensuring production reliability.
I chose to focus on automation from day one because manual data updates don't scale. The edge functions run every 5 minutes, syncing new sales and price updates automatically. The system recovers from API failures and keeps running without manual intervention—critical for serving 10,000+ users.
Project Overview
6529nfts.io helps collectors track NFT portfolios and analyze market data. Users can view any wallet's holdings with real-time values, search through 94,000+ sales, and monitor market trends—all with automated data updates running in the background.
This project demonstrates my ability to architect a complete backend infrastructure with Supabase (PostgreSQL + Edge Functions), implement automated data pipelines with scheduled serverless functions, design PostgreSQL databases handling 17.5 million records, build responsive interfaces that work on mobile and desktop, and deploy production-ready applications serving 10,000+ users.
My Role: Full-stack developer. I designed the database schema (36 tables), built the automated data sync system (20 edge functions), created the responsive frontend, and deployed to production. Built solo over 12 months as a learning project.
Tech Stack
Backend Infrastructure (Supabase)
Supabase Backend Overview
The backend infrastructure handles all data management and automation: 36 PostgreSQL tables storing collections, sales, prices, holders, and historical data. 20 Edge Functions running scheduled tasks and processing. 17.5 million records in the largest historical data table. 3,100+ API requests processed daily. Automated updates every 5 minutes without manual intervention. (Click image to enlarge)
Serverless Edge Functions
20 serverless functions handle scheduled data syncs, API integrations, and background processing. Functions run every 5 minutes to fetch new sales (incremental sync), update prices across all collections, and process historical data. Built-in error handling and retry logic ensures reliability. (Click image to enlarge)
PostgreSQL Database Design
36 PostgreSQL tables with custom SQL functions for complex queries, filtering, and calculations. Proper indexing enables sub-second search across 94k+ sales records. Database design includes collections, sales history, price tracking, holder data, and 17.5 million historical records. (Click image to enlarge)
Technical Architecture
Automated Data Pipeline
Edge functions scheduled to run every 5 minutes, syncing external APIs automatically. Incremental sync only fetches new records since last update. Built-in error handling and recovery ensures reliability without manual intervention.
PostgreSQL Database with 36 Tables
Comprehensive schema storing collections, sales, prices, holders, and 17.5 million historical records. Custom SQL functions handle complex queries and calculations. Proper indexing enables instant search across massive datasets.
20 Serverless Edge Functions
Scheduled tasks for data sync, API integrations, and background processing. Functions handle sales updates, price tracking, holder analysis, and historical data processing. Serverless architecture scales automatically based on demand.
Mobile-First Responsive Design
Desktop displays comprehensive data tables. Mobile automatically transforms to scrollable card layouts. Same data, optimized presentation for each device. Critical for serving users tracking portfolios on the go.
Real-Time Data Integration
Fetches live holdings from external APIs when page loads. Combines with database prices updated every 5 minutes. Calculates portfolio values in real-time. Demonstrates proper API integration and data combination strategies.
Production-Grade Performance
Sub-second search across 94k+ sales records using PostgreSQL optimization. 3,100+ daily API requests handled automatically. Serving 10,000+ users for 6+ months without downtime. Demonstrates proper database indexing and query optimization.
What I Learned
Complete Backend Development
This was my first time building a complete full-stack application with a real backend. I learned how to structure a PostgreSQL database, write serverless functions, integrate external APIs, and deploy a production application that people rely on daily.
Data Synchronization at Scale
The biggest challenge was handling data synchronization reliably—making sure the system could recover from API failures and keep running without manual intervention. Learned proper error handling, retry logic, and incremental sync strategies.
PostgreSQL Optimization
Working with 17.5 million records taught me database optimization: proper indexing, query optimization, when to use JSONB vs normalized tables, and custom SQL functions for complex calculations. Sub-second queries require thoughtful database design.
Production Reliability
Serving 10,000+ users for 6+ months taught me the difference between "it works" and "it works reliably in production." Automated monitoring, error recovery, and graceful degradation are essential for real-world applications.
Project Status
Live in production serving 10,000+ users. The application runs 24/7 with automated data updates every 5 minutes. Active development continues with new features and collections added weekly.
Ongoing development: 426 NFTs currently in database with 3 new collections added weekly. System processes 3,100+ daily API requests automatically without manual intervention.