Veteran technology operator and investor focused on enterprise software and SaaS growth, with operating leadership across product and go-to-market functions. Clay Dunnagan brings experience scaling startups and advising venture-backed teams, concentrating on metrics-driven revenue expansion, customer retention, and strategic M&A. Common roles include executive operator, board advisor and seed/early-stage investor supporting B2B SaaS founders.
Veteran technology operator and investor focused on enterprise software and SaaS growth, with operating leadership across product and go-to-market functions. Clay Dunnagan brings experience scaling startups and advising venture-backed teams, concentrating on metrics-driven revenue expansion, customer retention, and strategic M&A. Common roles include executive operator, board advisor and seed/early-stage investor supporting B2B SaaS founders.
Prioritizes durable B2B SaaS winners by combining operator-grade diligence with growth-stage playbooks. Focuses on metrics-driven underwriting—ARR unit economics, retention cohorts, CAC payback—and favors capital deployed to product-led expansion, land-and-expand GTM, and customer success investments. Uses active value-add: temporary operating roles, board guidance, and founder coaching to accelerate scaling while screening for repeatable revenue models, high gross margins, and M&A optionality. Typical horizon is multi-year with disciplined downside protection and staged capital tranches.
Prioritizes durable B2B SaaS winners by combining operator-grade diligence with growth-stage playbooks. Focuses on metrics-driven underwriting—ARR unit economics, retention cohorts, CAC payback—and favors capital deployed to product-led expansion, land-and-expand GTM, and customer success investments. Uses active value-add: temporary operating roles, board guidance, and founder coaching to accelerate scaling while screening for repeatable revenue models, high gross margins, and M&A optionality. Typical horizon is multi-year with disciplined downside protection and staged capital tranches.
| Trades 74 | Longs Won 41/74 55% | Profit Factor 1.44 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.88M |
| Average Win $1.31M | Best Trade (Jul 16) $6.63M | Sharpe Ratio -9.09 |
| Average Loss -$1.13M | Worst Trade (Dec 30) -$6.36M | Z-Score 0.22 (17.48%) |
| Commissions $0 | Avg. Trade Length 12m 4d | Expectancy $221,914.4 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | 0.01% | 0.1% | 0.82% | 4.96% | 24.21% |
| Consecutive Losing Trades | 96 | 86 | 77 | 67 | 58 | 48 | 38 | 29 | 19 | 10 |