Real-Time Instagram 3D Trend Mapping

I want to get up to speed on visualising Instagram hashtag activity as an interactive 3D network that updates in real time, so I can explore how clusters of conversation form and evolve. Basic counts or static charts won’t help me—I’m after a high-level, spatial overview that reveals relationships between hashtags at a glance.

Here’s what I have in mind. You share your screen (or meet in a recorded call) and walk me through a streamlined pipeline: pulling public hashtag data from Instagram’s API or another compliant endpoint, streaming it into Python or Node, then projecting it with a WebGL or Three.js scene—Unity, Blender, or similar is fine if that’s your preferred stack. The goal is clarity over polish: I want to see each step, understand the code, and tweak parameters myself once we’re done.

Key topics you should be comfortable demonstrating
• Real-time harvesting of Instagram hashtag traffic
• Converting that feed into node-edge structures for 3D display
• Visual cues like colour, size, or animation to signal growth rates and relationships
• Keeping the render smooth while new data flows in
• Packaging everything so I can rerun the demo locally




I’m free to coordinate times immediately and will provide quick feedback so we can wrap this fast.