Bookmarked Notion: Automated Sync & Knowledge Graph

Bookmarked bridges the gap between how you consume content and how you organize it. Instead of losing that brilliant tweet buried in your timeline, forward it to our Telegram bot. Seconds later, it's in your Notion database—beautifully formatted, tagged, and searchable.

I was spending hours every week manually copying tweets and articles into Notion. The workflow was broken: switch apps, copy, switch again, paste, format. I realized I could automate this entirely. Thus Bookmarked was born.

1. Forward any tweet or link to the Bookmarked Telegram bot
2. We parse metadata (author, timestamps, media, URLs)
3. It automatically appears in your Notion workspace
4. Your personal knowledge base grows effortlessly

Tech Stack

• Frontend: Next.js 14 with TypeScript and React Server Components
• Backend: Express.js API for bot logic and webhook handling
• Integrations: Telegram Bot API, Notion API v1, Twitter API v2
• Database: PostgreSQL with Prisma ORM for type safety
• Queue: Bull for background job processing
• Deployment: Docker on AWS ECS with auto-scaling

System Design

The architecture follows a microservices-inspired approach:

1Telegram Bot → Express Server → Job Queue → Notion API
2     ↓            ↓              ↓
3  User Input   Parsing      Background
4              & Routing      Processing

• Smart Parsing: Automatically extracts title, author, date, and media
• Dual Sync: Works with both Twitter/X and Telegram links
• Tag Templates: Pre-configured tags for quick organization
• Notion Formatting: Rich formatting with inline tags and properties
• Rate Limiting: Handle thousands of forwards without API throttling
• Error Recovery: Failures are queued and retried automatically

Challenge 1: Rate Limiting Hell

Notion API has strict rate limits (3 requests/second). When bulk importing, we'd hit them constantly.

Solution: Implemented a sophisticated queue system that intelligently batches requests and respects Notion's rate limits using exponential backoff.

1// Exponential backoff retry strategy
2async function retryWithBackoff(fn, maxRetries = 3) {
3  for (let attempt = 0; attempt < maxRetries; attempt++) {
4    try {
5      return await fn();
6    } catch (error) {
7      if (error.status === 429) {
8        const delay = Math.pow(2, attempt) * 1000;
9        await new Promise((resolve) => setTimeout(resolve, delay));
10      } else {
11        throw error;
12      }
13    }
14  }
15}

Challenge 2: Media Handling

Twitter contains embedded images and videos. How do we preserve them in Notion? We download media, optimize it, upload to a CDN, and embed the links in Notion. Network operations are concurrent with proper error handling.

Challenge 3: Parsing Consistency

Different link formats (tweets, threads, links) need different parsing strategies. We built a plugin architecture where each source type has its own parser, making it easy to add new sources.

Challenge 4: State Management

Users might send the same link twice. We needed deduplication without false negatives.

Solution: Content hashing with fuzzy matching to detect duplicates while allowing intentional multiple saves.

• Average processing time: 2-3 seconds from forward to Notion
• 99.9% uptime: Months without downtime
• 30K+ bookmarks: Processed successfully since launch
• Sub-100ms API latency: Optimized database queries and caching

Database Schema Highlights

1Users → Bookmarks → Notion Pages
2  ↓         ↓
3Settings  Metadata

• Deployed on AWS ECS with auto-scaling based on queue depth
• CloudFront CDN for media delivery
• RDS PostgreSQL with multi-AZ for availability
• GitHub Actions for CI/CD pipeline
• Monitoring with DataDog for real-time alerts

• Integrating with third-party APIs requires defensive programming
• Queue-based architecture is essential for reliability
• User feedback iterations drove 80% of our best features
• Type safety (TypeScript + Prisma) prevented countless bugs
• Monitoring and alerting saved us from silent failures

• 5K+ active users across 3 continents
• Saved users thousands of hours of manual work
• 98% retention rate for premium users
• Featured in several product communities

• Browser extension for non-Telegram sources
• AI-powered auto-tagging using embeddings
• Advanced search with semantic understanding
• Team/collaborative Notion workspace support
• Mobile apps for iOS and Android

The project uses many amazing libraries. We've given back by contributing improvements to:

• Prisma ORM
• Bull queue library
• Notion SDK

Built with ❤️ for people who love collecting ideas and organizing thoughts.