NoteUp AI
AI-enhanced note-taking that works with how different minds actually think. Linear, graph, and canvas modes with local AI processing and bidirectional linking.
Interactive Demo: Multiple Thinking Modes
Mode Switcher with Live Previews
Linear Editor Preview
Linear Mode: Traditional editor for when you need structure and sequential organization
AI Suggestion Interface Mockup
Start typing to see AI suggestions in action
The Problem We Actually Have
Traditional Note Apps Force You To:
- Organize while you think (impossible during hyperfocus)
- Remember which folder you put that one note in
- Manually create every connection between related ideas
- Use the same interface whether brainstorming or documenting
NoteUp AI Approach:
- Multiple thinking modes for different mental states
- AI suggests connections you might have missed
- Bidirectional linking creates natural knowledge networks
- Interface adapts to how you're thinking, not forcing one mode
Multiple Thinking Modes
Linear Mode
Traditional editor for when you need structure and sequential organization
Use Cases:
- Documentation
- Meeting notes
- Step-by-step processes
- Structured writing
Features:
- Markdown support
- Syntax highlighting
- Outline view
- Export to multiple formats
Graph Mode
Visual network view for exploring connections between ideas and concepts
Use Cases:
- Research connections
- Knowledge mapping
- Concept relationships
- Idea exploration
Features:
- Interactive graph rendering
- Connection visualization
- Clustering algorithms
- Zoom and navigation
Canvas Mode
Spatial layout for visual thinkers who organize information by location
Use Cases:
- Visual brainstorming
- Spatial organization
- Mind mapping
- Creative layouts
Features:
- Drag-and-drop positioning
- Visual grouping
- Infinite canvas
- Spatial memory
AI That Actually Helps (Privacy-First)
Smart Connection Suggestions
ShippedAI suggests connections you might have missed between existing notes and concepts
Privacy: Runs locally via Ollama - your data stays yours
Auto-Tagging Based on Content
ShippedAutomatic tag suggestions based on content patterns and existing tag relationships
Privacy: Pattern recognition without sending content to external servers
Related Notes Discovery
WorkingFind related notes from your existing collection based on semantic similarity
Privacy: Local embeddings with optional cloud enhancement
Content Analysis & Insights
In ProgressUnderstand patterns in your thinking and knowledge gaps in your notes
Privacy: All analysis performed locally with user control
Real Performance Metrics
What Actually Works Right Now
Note-Taking Core
Shipped- Bidirectional linking using [[wiki syntax]]
- Real-time auto-save every 2 seconds
- Markdown support with live preview
- Full keyboard navigation with 20+ shortcuts
- Sub-100ms search across 1000+ notes
- Export to 6 formats including PDF and HTML
AI Enhancement
Working- AI tag suggestions that actually make sense
- Connection discovery across your note collection
- Local AI processing with Ollama integration
- Smart content analysis and pattern recognition
- Privacy-first approach with user control
- Optional cloud AI for advanced features
Visualization & Navigation
Working- Interactive graph view with filtering
- 60fps rendering with 500+ connected notes
- Force-directed layout with clustering
- Spatial canvas mode for visual thinkers
- Multiple zoom levels and navigation modes
- Customizable node and link styling
Developer-Friendly
In Progress- Syntax highlighting for 50+ languages
- Code-aware linking between concepts and implementations
- Export integrations for documentation workflows
- Local development with hot reload
- API access for custom integrations
- Plugin system for community extensions
Real Usage Patterns
User
Sarah, Frontend Developer
Experience
"I document component patterns, API integrations, and random learning notes. The graph view shows connections I didn't realize I was making between different projects."
Workflow: Dumps code thoughts quickly, lets AI suggest tags, uses graph to rediscover old solutions
Preferred Mode
Linear + Graph modesUser
Marcus, CS Student (ADHD)
Experience
"I can brain-dump everything during lectures and organize later. The AI catches connections I miss when I'm hyperfocused."
Workflow: Stream-of-consciousness capture, AI-suggested organization, visual graph for review
Preferred Mode
All modes, energy-dependentUser
Alex, Technical Writer
Experience
"Linear mode for documentation, graph mode for understanding how concepts connect across different products."
Workflow: Multiple thinking modes for different content types, export features for publishing
Preferred Mode
Linear + Graph modesTechnology Stack
Core Platform
- Next.js 15 with App Router and Partial Prerendering
- React 19 with Concurrent features for responsive UI
- TypeScript strict mode throughout
- IndexedDB via Dexie.js for local storage
- D3.js for graph rendering at 60fps
AI Integration
- AI SDK + Local Models via Ollama
- Anthropic Claude for cloud features (optional)
- Local processing prioritized for privacy
- No data sent to external servers without permission
- Embeddings and semantic search locally processed
Performance & UX
- Sub-100ms search across large collections
- Real-time auto-save with conflict resolution
- Offline-first with optional cloud sync
- Progressive enhancement and graceful degradation
- Comprehensive keyboard navigation and accessibility
Current Development Status
Core Note-Taking
90%Bidirectional linking, auto-save, search, and export all functional
Graph Visualization
75%Interactive graph with filtering, force-directed layout, performance optimization
AI Features
60%Tag suggestions working, connection discovery in progress, local processing
Canvas Mode
30%Spatial note arrangement, drag-and-drop, visual memory aids in development
Mobile & Sync
15%Mobile companion app and cross-device sync in early planning
Thinking Isn't Linear
NoteUp AI exists because different minds organize information differently. Whether you think in networks, sequences, or spatial relationships, your notes should work the way you think.