Project SENTINEL | Leon Basin

I. Structure (The Friction)

The Context: A Series-B cybersecurity firm relied on the "Rolodex Fallacy." Ten SDRs executed high-volume, low-conviction outreach based on static LinkedIn lists.

The Failure Mode:

Human Latency: 24-48 hours between signal detection and action.
CAC Inefficiency: $800k in headcount yielding <1% cold conversion.
The "Zombie" Pipeline: CRM filled with "Activity" metrics rather than "Intent" signals.

The team was optimizing the wrong function. They measured effort when they should have measured signal quality.

II. System (The Architecture)

We deployed Basin::Nexus (v1.0), a proprietary GTM Operating System built on Python & Streamlit.

// THE STACK

            > Ingestion: Python Scrapers (Reddit SecOps, Tech Docs)

            > Logic: Binary Signal Scoring (0-100)

            > Execution: n8n Orchestration → "Sniper" Rep Routing

            > Output: Auto-generated briefs, Slack alerts, CRM sync

The Mechanics: Instead of generic lists, the system scraped "Dark Social" signals—developer documentation downloads, specific subreddit threads, job posting patterns, and tech stack changes. It assigned a binary Signal Score to every lead. Anything below 70% was blocked at the gate.

The Key Insight: The best time to reach a security buyer is within 72 hours of a compliance audit announcement or a competitor incident. The system knew this before humans could react.

III. Soul (The Transmutation)

We stopped selling "features" and started architecting "risk narratives." The system found the truth hidden in the noise.

The SDRs who remained became Signal Interpreters, not cold callers. They received pre-qualified leads with context: "This CISO just posted about zero-trust gaps on LinkedIn. Their company announced SOC2 compliance last week. Here's your opener."

160%

Pipeline Velocity YoY

$424k

OpEx Saved/Year

92%

Manual Toil Reduced

"The best salespeople don't make more calls. They make better ones." — Field Notes