LinkedIn Signal Prospecting Engine

About the project

Most outreach starts colder than it needs to. Every day, people in a target market comment on LinkedIn posts about the exact problems a product solves. They are already engaging, reacting, and signaling interest in public, but that signal usually disappears into a comment section nobody turns into a pipeline.

LinkedIn Signal Prospecting Engine was built around that gap. You paste a LinkedIn post URL from a relevant niche, and the system extracts the people who commented on it. Instead of treating the post as content, it treats the engagement around the post as a warm prospecting surface.

The workflow has three layers. The scraping layer collects commenters and their available profile data. The scoring layer compares each profile against a configurable ideal customer profile, using signals such as job title and location to separate strong fits from noise. The delivery layer presents the ranked results in a clean dashboard so the highest-priority leads are visible first.

The key design choice is speed. The system does not ask the user to build a campaign, import a list, or manually qualify every profile. One URL becomes a ranked prospect list, with Tier 1 leads surfaced before the user starts outreach.

The result is a prospecting engine that starts from public intent instead of a cold database. It turns LinkedIn engagement into structured lead intelligence: who is worth contacting, why they fit, and where they should sit in the priority queue.