LinkedIn Intelligence
Content Engine
Overview
An automated content pipeline for LinkedIn. It mines the topics and conversations an audience actually cares about, drafts genuinely useful posts — teardowns, breakdowns and lessons rather than announcements — and schedules them at a native cadence. A human reviews, adds the real engagement and hits post.
Role
Built the pipeline end to end — topic mining, drafting, per-platform re-angling, scheduling, and a tracking loop that logs which hooks and formats win and feeds that back into the next cycle.
The pipeline
Five stages — mine high-intent topics, draft, re-angle natively for the platform, schedule at a safe cadence, and track what wins. The only manual steps left are reviewing, the genuine replies, and hitting post.
Native, not copy-paste
Every piece is rewritten for the culture of the platform instead of one post blasted everywhere, so the account grows instead of getting flagged.
Highlights
Value-first drafting
Useful content, not ads or announcements.
Tracking loop
Winning formats and hooks feed the next cycle.
Team-of-two cadence
Runs a channel at the pace a larger team usually would.