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Understand anything, visually.
I built MindMap AI, a concept for turning complex topics into interactive visual maps.
Instead of getting another wall of AI-generated text, you enter a topic like:
“How does a Transformer work?”
and the system breaks it down into connected concepts such as Attention, Q/K/V, Encoder, Decoder, FFN, Tokenization, and Positional Encoding.
You can then explore the map by selecting individual concepts to get a focused explanation, dive deeper, simplify the concept, or expand it into a submap.
The interface was designed with a deliberately minimal, Apple-inspired approach: lots of whitespace, restrained typography, neutral colors, and almost no visual noise.
Built around:
AI-generated knowledge graphs
Interactive node-based visualization
Concept exploration
AI explanations
Expandable submaps
Zooming, panning, and canvas navigation
The goal was simple: make understanding complex AI concepts feel visual and intuitive.
Clicking a node like Attention opens a side panel that breaks it into Query/Key/Value components plus a plain-language Key Insight - the map isn't just a visual overview, each node is its own drill-down.
Exactly. The idea was to make each node more than just a point on the map. Clicking a concept lets you drill down into its components and get a simpler explanation without losing the overall context of the map.
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