LinkedIn Content Generator

Problem

The Eindhoven Career Platform needed a consistent LinkedIn presence, but the committee had limited capacity for regular content creation. Posts were infrequent, inconsistent in quality, and there was no systematic way to learn what worked.

Approach

Built an n8n workflow that generates LinkedIn story-style posts and publishes them automatically. The key addition was a feedback loop: after each post, engagement data is collected and fed back into the next generation cycle to refine the prompt. The loop is simple — generate, publish, measure, refine — but over several iterations it meaningfully shifts what the model produces toward higher-performing formats.

Outcome

Engagement rate improved 2–3× compared to the manual posting baseline. The platform now maintains a consistent posting cadence with zero manual effort, and content quality keeps improving as more engagement data accumulates.