248 Leads in 14 Days: Turning LinkedIn Noise into Revenue Signals
A user built a Kritmatta agent to monitor LinkedIn posts, extract context, and log results into a Google Sheet. Two weeks later: 248 qualified signals captured.
The Problem
Recruiters don't lack tools. They lack time.
Every day, decision-makers post things like:
- "We're scaling our engineering team."
- "We need a new Head of Sales."
- "Struggling to hire in fintech."
- "Anyone recommend a recruiter?"
But no one can manually track thousands of posts. So opportunity disappears into the feed.
The Real-Life Example
A user built a Kritmatta agent to:
- Monitor LinkedIn posts for specific keywords
- Extract author name + company + context
- Log results into a live Google Sheet
- Draft a personalised outreach email
- Queue it for human approval
Two weeks later: 248 qualified signals captured. Not scraped junk. Not random connections. Real people publicly signalling need.
The agent didn't send spam. It prepared context. The recruiter reviewed, edited, sent.
The Outcome
- Pipeline built from public intent
- No manual scrolling
- No missed signals
- Structured tracking
- Faster outreach
AI didn't replace the recruiter. It removed the scrolling. That's the difference.