Autonomous Niche Blog Generation Engine

An end-to-end, fully autonomous content pipeline that monitors industry RSS feeds, filters trending topics against a personalized contextual database, and generates highly relevant daily blog posts across multiple platforms. Built in n8n on a scheduled trigger, it pulls the day's signal from five industry feeds, then scores every candidate against a reactive Supabase + pgvector knowledge base that acts as the system's brain — separating what genuinely matters to the target audience from noise. Once the strongest topic is isolated, the AI engine drafts a complete, deeply contextualized post, auto-formats it, and deploys it to each destination — with no manual research, writing, or publishing step in between.

Maintaining a consistent, authoritative daily blog demands huge amounts of manual research, trend monitoring, and writing. Producing high-quality, up-to-date content every day for multiple platforms is an operational bottleneck that drains time away from core engineering.

I engineered an automated daily workflow in n8n. On a scheduled trigger it connects to five industry RSS feeds to pull the latest trends, then filters that raw signal through a reactive contextual database (Supabase + pgvector) that acts as the system’s "brain," scoring incoming news against a specific technical context to separate relevance from noise. Once the optimal topic is isolated, the AI engine generates a complete, deeply contextualized post and auto-formats and deploys it to the target platforms.

A publishing cadence that no longer depends on anyone sitting down to write. The pipeline researches, filters, drafts and ships a contextually-relevant post every day, across every target platform, keeping the blog authoritative and current — while the engineering team spends effectively zero hours on it.