mskayyali/nodepad

What it solves

It addresses the limitation of sequential, chat-based AI interfaces by providing a spatial and associative environment for thinking. Instead of a back-and-forth conversation, it allows users to organize thoughts on a canvas where AI works in the background to find connections and synthesize insights.

How it works

Users add notes to a spatial canvas. The AI automatically classifies each note into one of 14 types (such as claim, question, or idea) and adds a short annotation. The system infers connections between notes based on content and can generate a single-sentence synthesis that bridges tensions across the canvas. Users can view their notes in three modes: a tiling grid, a kanban board grouped by type, or a force-directed graph.

Who it’s for

It is designed for people who prefer spatial thinking and associative brainstorming over linear chat interfaces, as well as researchers or thinkers who want AI to assist in synthesizing complex information without being the center of attention.

Highlights

• Automatic Classification: Categorizes notes into 14 distinct types and provides enriching annotations.
• Emergent Synthesis: Generates high-level insights that bridge multiple notes on the canvas.
• Flexible Visualizations: Supports tiling, kanban, and graph views for different organizational needs.
• Privacy-First: Data is stored locally in the browser's localStorage and API keys are sent directly to providers.
• Web Grounding: Optional integration with search-enabled models to cite real sources for claims and references.