Our Framework for Evaluating Startup Investments

The founding team is the single most predictive factor in early-stage outcomes. We assess team across several sub-dimensions: domain expertise (have the founders built or operated in the target market?), technical depth (can the team build the product they are describing?), prior outcomes (have they built and exited companies before?), and talent magnetism (can they recruit exceptional engineers and go-to-market leaders?).

In cybersecurity specifically, we place a premium on founders with backgrounds in intelligence agencies, military cyber units, security research, or senior engineering roles at established security vendors. The domain is sufficiently specialized that generalist technical talent, however capable, faces a steep learning curve in understanding buyer psychology, threat landscape dynamics, and the operational realities of security tooling at enterprise scale.

A team score of 18-20 indicates a founding team with deep domain expertise, prior entrepreneurial success, and demonstrated ability to recruit top talent. A score of 14-17 indicates strong domain expertise with some gaps. Below 14 suggests meaningful team risk that must be offset by exceptional scores in other dimensions.

Technology differentiation measures the depth and defensibility of the company's technical approach. We evaluate proprietary algorithms or methods, data advantages that create compounding moats, architectural innovation that enables capabilities competitors cannot easily replicate, and the speed at which the technology improves through usage.

In practice, technology differentiation is assessed through a combination of technical diligence (where possible), product demonstrations, customer feedback on detection efficacy or product performance, and analysis of the company's technical publications and patent filings. We also assess the difficulty a well-resourced competitor would face in replicating the core technology.

A technology score of 18-20 indicates a defensible technical moat that would require significant time and resources for competitors to replicate. Scores of 14-17 indicate meaningful differentiation with some vulnerability to competitive replication. Below 14 suggests that the technology, while functional, does not represent a durable competitive advantage.

Market analysis encompasses total addressable market size, market growth rate, competitive intensity, and whether the company is entering at the right moment in the market cycle. We are skeptical of TAM estimates that project top-down from overly broad market definitions and prefer bottom-up calculations based on the company's actual buyer persona and pricing model.

Market timing is arguably the most underappreciated dimension in startup evaluation. A product that is two years early to market can fail despite being technically superior, while a product that enters at the moment of inflection in buyer demand can achieve rapid adoption even with a good-enough technical approach. We assess timing through buyer sentiment analysis, regulatory catalysts, technology adoption curves, and competitive landscape dynamics.

A market score of 18-20 indicates a large and growing market with favorable timing and manageable competitive dynamics. Scores of 14-17 indicate a solid market position with some concerns around market size, timing, or competition. Below 14 suggests meaningful market risk.

Traction measures the empirical evidence of product-market fit. We assess annual recurring revenue (ARR), revenue growth rate, net dollar retention, customer acquisition cost (CAC), CAC payback period, and the quality of the customer base. At the seed stage, where revenue may be limited, we also consider pipeline value, design partnership commitments, and the seniority of buyer engagement.

We place particular emphasis on growth efficiency rather than growth in isolation. A company growing at 200% annually with a burn multiple of 1.5x is fundamentally different from one growing at 200% with a burn multiple of 4x. The latter is buying growth unsustainably, while the former has demonstrated efficient conversion of capital into durable revenue.

Traction scoring is stage-adjusted. A seed-stage company with $1M+ ARR would receive a high score, while a growth-stage company would need $50M+ ARR and strong net dollar retention for equivalent marks. A public company is assessed against its Rule of 40 profile and growth-adjusted valuation relative to peers.

Capital efficiency measures how effectively the company converts invested capital into revenue and enterprise value. We assess burn multiple (net burn divided by net new ARR), revenue per dollar of funding raised, and the trajectory of capital efficiency over time. Companies that demonstrate improving capital efficiency are rewarded, as this indicates a maturing business model.

At the seed stage, capital efficiency is somewhat less predictive because companies are still searching for product-market fit. However, we note that the best seed-stage companies often demonstrate surprising capital efficiency from the earliest days, generating meaningful revenue relative to the capital raised. This is a strong signal that the product addresses a genuine buyer need rather than a theoretical one.

At the growth and public stages, capital efficiency becomes a primary differentiator. Companies that can sustain high growth rates with moderate capital consumption are more likely to achieve favorable outcomes for investors than those that require outsized capital infusions to maintain growth trajectories.