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Golden Door Core Philosophy

The Software
Supremacy

A mathematical framework for exploiting the structural advantages of cloud-native and agentic software monopolies.

Part I: The 'Why'

We invest exclusively in B2B application software because it possesses the most superior business model in the history of capitalism. Unlike physical infrastructure or consumer hardware, software benefits from zero marginal costs of reproduction, driving gross margins systematically above 75%.

Compounding NDR

Net Dollar Retention (NDR) intrinsically scales. An elite software firm with 120% NDR grows output by 20% annually even if they never sign another new logo.

The Agentic Transition

We are leaving the GUI era. Tier 4 AI systems and Agent-Native architecture now command pricing power based on labor displacement (usage), not seat licenses.

Our thesis isolates legacy CapEx monopolies and tracks the transition to cloud-native OpEx. By identifying API-first architectures with robust ecosystems, we lock onto durable competitive moats before they are fully priced by legacy Wall Street analysts.

Part II: The 'How'

Qualitative moats must be verified by quantitative execution. We grade the software universe using strict mathematical criteria to separate structural winners from transient hype.

Investment Criteria 1: The Rule of 40

YoY Revenue Growth~25%
+
FCF Margin~15%
=
Rule of 40 Score≥ 40
Our primary financial filter. The Rule of 40 ensures management is balancing top-line market capture with bottom-line operational discipline. Equities sustaining a score ≥ 40 command a permanent valuation premium as they prove their underlying unit economics work at absolute scale.

Investment Criteria 2: EV / NTM Multiples

Overvalued
> 25x
Fair Value
Buy Zone
10 - 20x
We wait for macro fear or short-term earnings misses to compress the Enterprise Value to Next-Twelve-Months (EV/NTM) Revenue multiple into our "Buy Zone" (typically 8x-14x) for Tier 1 assets. We buy elite compounding growth engines at a discount.

Deploy the Framework

Access the Live Database to cross-reference our thesis against real-time Wall Street data.

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