System Design Twitter Course
sysdesign101, sdr, AI Agents RoadmapOver 5 weeks, you'll build a complete Twitter-like platform that scales from 1,000 to 10 million users. You'll experience every architectural decision point, every performance bottleneck, every moment when adding more servers makes things worse instead of
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 90 | Founded | a year ago | Last Issue | 9 days ago |
| Active | |||||
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twitterdesign.substack.comLatest Issues
Lesson 23: The Model Selection Matrix — Phi-3 vs Gemma vs Llama 3.2 on CPU
What We’re Building Today
What We’re Building Today
Lesson 22: The Local Runtime — Serving LLMs Without a Cloud Bill
What We’re Building Today
What We’re Building Today
Lesson 21: The Unified API — One Interface, Four Optimal Stores
What We’re Building Today
What We’re Building Today
Lesson 20: The Sync Pipeline — Change Data Capture from SurrealDB to Qdrant
What We’re Building Today
-
A CDC pipeline that streams every
tweet:*insert and update from SurrealDB through a Redpanda topic to a Qdrant vector collection — without any dual-write logic in application code -
An embedding consu...
Lesson 19 — Shrinking the Index: Vector Quantization in Practice
Course: NEXUS 2.0 — Multi-Model Data Infrastructure Stack: Qdrant · Node.js 20 · InProcessEngine Builds on: Day 18 (atomic two-phase writes, SurrealDB + Redpanda)
Before You Start
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Subscribers, engagement, traffic and sponsorship for System Design Twitter Course .
| Subscribers | Engagement | 68 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
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Authors
The writers behind this newsletter.
Design & Build Twitter from scratch https://systemdrd.com/
AI Agent Roadmap — a structured, hands-on path from LLM fundamentals to deploying production-grade multi-agent systems. Most engineers know AI Agents are coming. Fewer know how to actually build them.
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