James Murray presents a 3D knowledge graph that visually represents a portfolio. Using Three.js, the platform provides an interactive experience that enhances understanding and navigation through complex datasets, ideal for investment analysis or knowledge management systems.

This platform provides real-time interactivity and rich visualization, making it easy to manage large sets of data in a visually engaging manner. Each node represents a project, skill, or achievement, connected by semantic relevance edges computed via vector similarity.

The galaxy supports up to 500 nodes with smooth 60fps interaction, using LOD (level-of-detail) rendering and GPU-accelerated force graphs for performance at scale.

Key Features

• 3D Visual Portfolio Representation: Uses Three.js for a dynamic 3D view of your data.
• Interactive Data Navigation: Allows users to interact with the portfolio graph, making it easier to explore different data points.
• Integration with Complex Datasets: Easily integrates with external datasets for analysis.
• Semantic Edge Weighting: Connection strength based on embedding cosine similarity.
• Zoom-Aware Labels: Dynamic label visibility with fade-in/out based on camera distance.
• Export & Embed: Generate shareable 3D links or embed in Notion/WordPress.

System Design & Architecture

The system uses Three.js for visual rendering and JavaScript for dynamic interactions. It supports seamless data integration and real-time updates. The graph physics engine uses Web Workers to prevent UI blocking during large dataset loads.

Use Cases

• Personal portfolio for AI engineers
• Startup pitch deck with interactive tech stack
• Academic research visualization

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