
How I Built a Multi-Platform Social Media Automation System with Node.js
If you manage social media for a business with dozens of content variations — different topics, multiple languages, several platforms — you already know the pain. Manually scheduling posts across Instagram, X (Twitter), LinkedIn, Facebook, Reddit, Pinterest, and others is a full-time job. I decided to build my own automation system. Not a SaaS product — a purpose-built engine that takes a pool of content, combines it across dimensions (topics, languages, platforms), schedules everything with anti-ban spacing rules, and handles failures gracefully. This article walks through the architecture, the database design, the queue system, and the hard-earned lessons. All code is TypeScript, all battle-tested. The Problem: Combinatorial Explosion Imagine you have 20 topics, 10 languages, and 12 platforms. That's 2,400 possible posts. You need a system that: Generates all valid combinations Schedules them with intelligent spacing Respects per-platform rate limits Tracks what's been published Retr
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