11:11 Admin Dashboard Development

I developed 11:11 Admin Dashboard, a custom NextJS solution for managing the company’s extensive music promotion operations. The project involved creating a comprehensive administrative interface that streamlined playlist management, artist data tracking, and performance analytics.

Client: 11:11 (1111.io)

Project Duration: 6 Months

Role: Lead Dashboard Developer

Team Size: 20 team members

Technologies Used: NextJS, React, TypeScript, JavaScript, Tailwind CSS, ShadCN UI, ReCharts, API Integrations, SASS

Objective: Create a powerful, centralized admin dashboard to manage 11:11’s growing network of playlists and artist relationships, while providing comprehensive analytics and operational tools.

Key Requirements:

Develop a comprehensive analytics dashboard for tracking artist performance across streaming platforms

Create data visualization components for streaming metrics, earnings, and playlist performance

Implement song-specific analytics with detailed breakdowns by country, platform, and time period

Build genre analysis tools to track performance across music categories

Design a flexible UI system with dark/light mode support and responsive layouts

Challenges:

Processing and visualizing complex streaming data from multiple sources and platforms

Building high-performance charts capable of rendering large datasets without impacting user experience

Creating a consistent component system that could scale to dozens of different analytics views

Implementing advanced filtering capabilities including date ranges, genres, and performance metrics

Balancing feature richness with intuitive UX for team members with different technical backgrounds

Role: Lead Dashboard Developer

Architected and developed a complete NextJS dashboard with over 40 specialized components

Implemented 15+ data visualization charts using ReCharts for metrics including streams, earnings, genre performance, and playlist growth

Created a comprehensive UI component library using ShadCN for rapid development and consistent styling

Built artist and song-specific analytics pages with detailed performance breakdowns

Developed advanced filtering systems including date range pickers, genre filters, and performance thresholds

Implemented theme switching functionality with dark and light mode support

Created a global search system for quickly finding artists, songs, and playlists

Created a comparison system to compare two songs

Frontend Framework: NextJS, React

Programming Languages: TypeScript, JavaScript

UI Components: ShadCN UI (including 20+ UI components such as accordion, avatar, badge, button, calendar, card, checkbox, dialog, dropdown menu, input, navigation menu, select, slider, table)

Data Visualization: ReCharts (implementing pie charts, line charts, bar charts for metrics visualization)

Styling: Tailwind CSS, SASS

State Management: React Context API, Custom Hooks

API Integration: REST APIs, Fetch API

Successfully delivered a comprehensive analytics platform that centralized 11:11’s music performance data Created over 40 specialized components including 15+ data visualization charts for tracking streams, earnings, and playlist growth Enabled deep insights into artist performance with country-specific breakdowns, genre analysis, and earnings tracking Implemented song-level analytics showing playlist counts, listener growth, saves, and streaming patterns Developed a flexible, theme-switchable UI that improved team productivity and decision-making Built a system capable of processing and visualizing data for 1,000+ tracks and nearly a billion streams

Component-based architecture is essential for building complex dashboards with multiple visualization types TypeScript significantly improves development speed and code reliability in large-scale React applications ShadCN UI components provide an excellent foundation for consistent, accessible interfaces Chart optimization techniques are crucial when visualizing large datasets to maintain performance Flexible filtering systems dramatically increase the value of analytics platforms by enabling custom insights