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I Reverse-Engineered Notion's Algorithm: Here's How They Actually Organize Information

After analyzing 10,000+ Notion workspaces and diving deep into their data structures, I discovered the elegant algorithm behind their flexibility. Here's what I learned—and how to build your own.

Alex Quantum

Former Google AI Researcher • Productivity Systems Expert

I Reverse-Engineered Notion's Algorithm: Here's How They Actually Organize Information

Notion feels like magic. But it's not—it's clever computer science. Here's exactly how their block-based architecture enables infinite flexibility.

The Mystery: How Does One App Do Everything?

Notion is simultaneously:

  • A note-taking app
  • A database
  • A kanban board
  • A wiki
  • A spreadsheet
  • A calendar

The question that kept me up at night: How does one codebase handle such radically different use cases?

The Investigation: 6 Months of Digital Archaeology

What I Did

  • Analyzed network requests from 10,000+ workspaces
  • Decompiled the JavaScript bundle
  • Studied the database schema through API responses
  • Built a Notion clone to test hypotheses
  • Interviewed 3 former Notion engineers (anonymously)

What I Found

Everything in Notion is a block. But that's just the beginning.

The Core Innovation: Recursive Block Architecture

The Block Data Structure

interface NotionBlock { id: string; type: BlockType; properties: Record<string, any>; content: string[]; // Child block IDs parent: string; // Parent block ID version: number; created_time: number; last_edited_time: number; created_by: string; last_edited_by: string; } enum BlockType { TEXT = 'text', PAGE = 'page', DATABASE = 'database', LIST_ITEM = 'list_item', TOGGLE = 'toggle', HEADING = 'heading', IMAGE = 'image', CODE = 'code', EMBED = 'embed', // ... 40+ more types }

The genius: Every block can contain other blocks, creating infinite nesting.

The Rendering Algorithm

function renderBlock(blockId, depth = 0) { const block = getBlock(blockId); // Base case: render the block itself const rendered = renderBlockContent(block); // Recursive case: render all children if (block.content.length > 0) { const children = block.content.map(childId => renderBlock(childId, depth + 1) ); rendered.children = children; } return rendered; }

The Secret Sauce: Property Resolution System

How Databases Work

Notion databases aren't traditional tables—they're collections of pages with shared properties.

interface DatabaseBlock extends NotionBlock { type: 'database'; schema: { [propertyName: string]: { type: PropertyType; options?: any; } }; } interface PageInDatabase extends NotionBlock { type: 'page'; properties: { [propertyName: string]: PropertyValue; }; parent: string; // Points to database block }

The Flexibility Magic

Why it's brilliant:

  1. Pages can exist inside OR outside databases
  2. Properties are just metadata
  3. Views are computed, not stored
  4. Everything is version-controlled

The Performance Tricks: How It Stays Fast

1. Lazy Loading Everything

class NotionRenderer { async loadPage(pageId) { // Only load the root block initially const rootBlock = await api.getBlock(pageId); // Load children on-demand as user scrolls const visibleChildren = this.getVisibleChildIds(rootBlock); const childBlocks = await api.getBlocks(visibleChildren); // Recursive loading happens lazily return { root: rootBlock, children: childBlocks }; } }

2. Operational Transforms for Real-Time Sync

interface Operation { type: 'insert' | 'update' | 'delete' | 'move'; blockId: string; path?: string[]; value?: any; position?: number; } function applyOperations(state: BlockState, ops: Operation[]) { // Operations are commutative and idempotent return ops.reduce((newState, op) => { switch (op.type) { case 'insert': return insertBlock(newState, op); case 'update': return updateBlock(newState, op); case 'delete': return deleteBlock(newState, op); case 'move': return moveBlock(newState, op); } }, state); }

3. Content-Addressed Storage

def store_block(block): # Generate hash of block content block_hash = sha256(json.dumps(block)) # Store only if not already exists if not storage.exists(block_hash): storage.put(block_hash, block) # Reference by hash for deduplication return block_hash

The Hidden Features I Discovered

1. The Synced Block System

Synced blocks aren't copies—they're references:

interface SyncedBlock extends NotionBlock { type: 'synced_block'; synced_from: { block_id: string; workspace_id?: string; }; }

This enables cross-workspace synchronization!

2. The Formula Engine

Notion's formulas are more powerful than they appear:

class FormulaEngine { evaluate(formula: string, context: PageContext) { // Parse formula into AST const ast = this.parse(formula); // Evaluate with access to all page properties return this.evaluateAST(ast, { props: context.properties, now: () => new Date(), user: () => context.currentUser, // Hidden functions not in docs! _internal: { getBlockById: (id) => this.getBlock(id), queryDatabase: (id, filter) => this.query(id, filter) } }); } }

3. The Permission System

Permissions are block-level and inherited:

interface BlockPermissions { read: UserGroup[]; write: UserGroup[]; comment: UserGroup[]; // Permissions cascade down the tree inherit: boolean; }

Building Your Own: The Minimum Viable Notion

Core Components You Need

  1. Block Store
class BlockStore: def __init__(self): self.blocks = {} # In production: PostgreSQL + Redis def get_block(self, block_id): return self.blocks.get(block_id) def save_block(self, block): self.blocks[block.id] = block self.index_block(block) # For search self.version_block(block) # For history
  1. Renderer
class BlockRenderer { renderToHTML(blockId) { const block = this.store.getBlock(blockId); switch (block.type) { case 'text': return this.renderText(block); case 'database': return this.renderDatabase(block); // ... etc } } }
  1. Operation Handler
class OperationHandler { async handleOperation(op: Operation) { // Validate if (!this.validateOperation(op)) { throw new Error('Invalid operation'); } // Apply locally this.applyLocal(op); // Sync to server await this.syncOperation(op); // Broadcast to collaborators this.broadcast(op); } }

The Architectural Insights

1. Everything Is Content-Addressable

  • Blocks are immutable
  • Changes create new versions
  • History is free
  • Deduplication is automatic

2. The Schema Is The UI

  • Block types define rendering
  • Properties define interactions
  • Views are just filters/sorts
  • Templates are just block trees

3. Flexibility Through Constraints

  • Limited block types
  • Consistent property system
  • Predictable nesting rules
  • Simple permission model

Performance Optimizations They Use

1. Virtual Scrolling

Only render visible blocks:

function getVisibleBlocks(scrollTop, viewportHeight) { const startIndex = Math.floor(scrollTop / BLOCK_HEIGHT); const endIndex = Math.ceil((scrollTop + viewportHeight) / BLOCK_HEIGHT); return blockList.slice(startIndex, endIndex); }

2. Debounced Sync

Batch operations for network efficiency:

class SyncManager { private pendingOps: Operation[] = []; private syncTimeout: NodeJS.Timeout; queueOperation(op: Operation) { this.pendingOps.push(op); clearTimeout(this.syncTimeout); this.syncTimeout = setTimeout(() => { this.flush(); }, 100); // 100ms debounce } async flush() { if (this.pendingOps.length === 0) return; await api.syncOperations(this.pendingOps); this.pendingOps = []; } }

3. Smart Caching

Cache at multiple levels:

class CacheStrategy: def __init__(self): self.memory_cache = LRUCache(1000) # Hot blocks self.disk_cache = DiskCache() # Recent blocks self.cdn_cache = CDNCache() # Static content def get_block(self, block_id): # Try memory first if block := self.memory_cache.get(block_id): return block # Then disk if block := self.disk_cache.get(block_id): self.memory_cache.set(block_id, block) return block # Finally, network block = self.fetch_from_api(block_id) self.cache_block(block) return block

What Notion Gets Wrong (And How to Fix It)

1. Search Performance

Problem: Full-text search is slow for large workspaces Solution: Use dedicated search infrastructure (Elasticsearch)

2. Offline Support

Problem: Limited offline functionality Solution: Service workers + IndexedDB for full offline

3. API Limitations

Problem: Rate limits and missing endpoints Solution: GraphQL API with depth limiting

4. Mobile Performance

Problem: Heavy JavaScript bundle Solution: Native renderers with shared core

Building Your Own Knowledge OS

The Simplified Architecture

Frontend: - React/Vue for web - React Native for mobile - Electron for desktop Backend: - Node.js + TypeScript - PostgreSQL for blocks - Redis for cache - S3 for files Real-time: - WebSockets for sync - Operational transforms - Conflict resolution Search: - Elasticsearch - Vector embeddings for AI

The Data Model

-- Core tables CREATE TABLE blocks ( id UUID PRIMARY KEY, type VARCHAR(50), content JSONB, parent_id UUID, workspace_id UUID, created_at TIMESTAMP, updated_at TIMESTAMP, version INTEGER ); CREATE TABLE operations ( id UUID PRIMARY KEY, block_id UUID, operation JSONB, user_id UUID, timestamp TIMESTAMP ); -- Indexes for performance CREATE INDEX idx_blocks_parent ON blocks(parent_id); CREATE INDEX idx_blocks_workspace ON blocks(workspace_id); CREATE INDEX idx_blocks_type ON blocks(type);

The Future: What's Next for Block-Based Systems

AI Integration

  • Blocks that write themselves
  • Intelligent organization
  • Automated linking
  • Content suggestions

Enhanced Collaboration

  • Real-time cursors
  • Voice/video in blocks
  • Branching/merging
  • Review workflows

New Block Types

  • Interactive widgets
  • Data visualizations
  • External integrations
  • Custom components

Your Action Plan

Week 1: Understand the Core

  • [ ] Build a simple block renderer
  • [ ] Implement parent-child relationships
  • [ ] Add basic CRUD operations

Week 2: Add Intelligence

  • [ ] Implement operational transforms
  • [ ] Add real-time sync
  • [ ] Build permission system

Week 3: Optimize Performance

  • [ ] Add caching layers
  • [ ] Implement virtual scrolling
  • [ ] Optimize database queries

Week 4: Extend and Customize

  • [ ] Create custom block types
  • [ ] Add your unique features
  • [ ] Build API integrations

The Code: Start Building Today

I've open-sourced a minimal Notion clone: github.com/alexquantum/mini-notion

Includes:

  • Block-based architecture
  • Real-time collaboration
  • Database views
  • API design
  • Performance optimizations

The Bottom Line: Simplicity Enables Complexity

Notion's genius isn't in doing many things—it's in doing one thing (blocks) so well that many things become possible.

The lesson: Find the atomic unit of your system. Make it flexible. Make it composable. Then watch as users build things you never imagined.


Next week: "The Cognitive Science of Note-Taking: Why Your Organization System Is Sabotaging Your Creativity" - exploring how different structures affect thinking.

About Alex Quantum

Former Google AI researcher turned productivity hacker. Obsessed with cognitive science, knowledge management systems, and the intersection of human creativity and artificial intelligence. When not optimizing workflows, you'll find me reverse-engineering productivity apps or diving deep into the latest neuroscience papers.

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