Production Systems, Technical Stacks, and Strategic Impact
9 production systems built and deployed across 15+ years of GTM engineering.
Each system represents a specialized solution to a specific GTM challenge. From signal detection to automated outreach, these systems demonstrate how technical architecture replaces headcount while improving output.
| System Name | Category | Core Functional Logic | Technical Stack | Strategic Impact | Macrotrends |
|---|---|---|---|---|---|
| Basin Signal Engine | Career Intelligence | Hunt-Prep-Close framework: discovers opportunities via VC portfolios, preps for interviews using AI voice coaching | Python (20k-27k lines), LLM Orchestration | Automates market engagement; showcases 'Revenue Architect' capability to ship code-driven strategy | Technology Change |
| Project Air Strike | Guerrilla GTM | Monitors technical forums (Reddit, HN, Stack Overflow) for problem-aware signals and users expressing frustration | Python, Signal Detection Scripts | Identifies hidden demand; generated 3 SQLs in 48 hours with $0 CAC | Technology Change |
| enrich_company.py | Lead Gen / Intelligence | Automates BDR research by taking domain input and performing deep scans for High-Value Signals (tech stack, hiring intent) | Python, JSON | Proves 'Data Fabric' capability; reduces manual research toil; opportunity scores > 80 | Technology Change |
| Project Translator | Strategic Messaging | Converts technical product features into executive-level value narratives (e.g., 'Granular Access' → 'Risk Mitigation') | Narrative Architecture, LLM Prompting | Drove 18% increase in quarterly ARR and 132% YoY growth | Economic Uncertainty |
| n8n-sentry | Governance | Integrates with Salesforce to enforce 100% CRM integrity, identifies 'Zombie Deals', logs SLA breaches | n8n, Salesforce, Python | Ensures data governance; eliminates pipeline noise; 100% CRM integrity for forecasting | Economic Uncertainty |
| Project Sentinel | Partner Channel Activation | Operationalizes dormant partner channels by building signal detection systems and automated partner co-sell motions | Python, CRM Integration | Converts 'paper partners' into active revenue streams; 160% pipeline growth | Economic Uncertainty |
| Project Phoenix | Training / Enablement | 5-day 'Live Fire' certification protocol for SDRs utilizing AI-powered training modules and real-time feedback | AI Training Modules, Gamified Learning | Reduced SDR ramp from 90 days to 5 days (18× improvement); 3 SQLs by Day 30 | Economic Uncertainty |
| Outreach Autopsy | Diagnostic / Enablement | Analyzes cold email campaign failures and predicts success rates by scoring messages for engineering credibility and sentiment | Python, LLMs (Claude/OpenAI) | Acts as 'BS-Detector'; ensures outreach resonates with technical personas; improved reply rates | Technology Change |
| Lead-Script-Gen | Lead Gen / Personalization | Generates personalized outbound sequences with specific ICP targeting, automating creative outreach at scale | Python, LLMs | Maintains high relevance in automated outreach; reduces manual time on message drafting | Technology Change |
Core Logic: Hunt-Prep-Close framework discovers opportunities via VC portfolios and preps for interviews using AI voice coaching.
Technical Stack: Python (20k-27k lines), LLM Orchestration
Impact: Automates arduous parts of market engagement; showcases 'Revenue Architect' capability to ship code-driven strategy.
Core Logic: Monitors technical forums (Reddit, HN, Stack Overflow) for problem-aware signals and users expressing frustration with existing solutions.
Technical Stack: Python, Signal Detection Scripts
Impact: Identifies hidden demand before market saturation; generated 3 SQLs in 48 hours with $0 CAC.
Core Logic: Automates BDR research by taking domain input and performing deep scans for High-Value Signals (tech stack, hiring intent).
Technical Stack: Python, JSON
Impact: Proves 'Data Fabric' capability by structuring raw data for AI readiness; reduces manual research toil; opportunity scores > 80 for automated outbound.
Core Logic: Converts technical product features into executive-level value narratives (e.g., translating 'Granular Access' to 'Risk Mitigation').
Technical Stack: Narrative Architecture, LLM Prompting
Impact: Drove 18% increase in quarterly ARR and 132% YoY growth by aligning technical systems with C-suite priorities.
Core Logic: Integrates with Salesforce to enforce 100% CRM integrity, identifies 'Zombie Deals', and logs SLA breaches.
Technical Stack: n8n, Salesforce, Python
Impact: Ensures data governance and predictability in growth engines by eliminating pipeline noise and CRM mismanagement; 100% data integrity for forecasting.
Core Logic: Operationalizes dormant partner channels by building signal detection systems and automated partner co-sell motions.
Technical Stack: Python, CRM Integration
Impact: Converts 'paper partners' into active revenue streams; achieved 160% pipeline growth at a Series A company.
Core Logic: 5-day 'Live Fire' certification protocol for SDRs utilizing AI-powered training modules and real-time feedback.
Technical Stack: AI Training Modules, Gamified Learning
Impact: Reduced SDR ramp time from 90 days to 5 days (18× improvement); generated 3 SQLs by Day 30.
Core Logic: Analyzes cold email campaign failures and predicts success rates by scoring messages for engineering credibility and sentiment.
Technical Stack: Python, LLMs (Claude/OpenAI)
Impact: Acts as a 'BS-Detector' to ensure outreach resonates with technical personas and avoids 'sales-speak' rejection; improved reply rates via technical resonance.
Core Logic: Generates personalized outbound sequences with specific ICP targeting, automating creative outreach at scale.
Technical Stack: Python, LLMs
Impact: Maintains high relevance in automated outreach while reducing manual time spent on message drafting.
Every system starts with signal detection—finding problem-aware buyers before they're solution-aware. This is the foundation of all GTM engineering.
Replace manual processes with automated systems. From research (enrich_company.py) to outreach (Lead-Script-Gen), automation scales what works.
In technical sales, showing beats telling. Systems like Outreach Autopsy ensure messages resonate with technical personas, not sales-speak.
Maintain 100% CRM integrity. Systems like n8n-sentry kill "Zombie Deals" and ensure accurate forecasting.
Turn one-off wins into repeatable systems. Every successful experiment becomes a production system that can be delegated and scaled.