Growth-stage investor and operator with a focus on scaling enterprise software and health-technology businesses. Katelyn Kappius brings experience in corporate development, strategy and capital raising for VC-backed companies, and has led initiatives across go-to-market, partnerships and product commercialization. Active in board and operating roles, she evaluates market fit, unit economics and founder teams, and works closely with management on growth execution and exit planning. Typically involved with early-to-growth rounds and strategic minority stakes.
Growth-stage investor and operator with a focus on scaling enterprise software and health-technology businesses. Katelyn Kappius brings experience in corporate development, strategy and capital raising for VC-backed companies, and has led initiatives across go-to-market, partnerships and product commercialization. Active in board and operating roles, she evaluates market fit, unit economics and founder teams, and works closely with management on growth execution and exit planning. Typically involved with early-to-growth rounds and strategic minority stakes.
Focuses on scaling enterprise software and health-tech through selective early-to-growth equity, preferring minority stakes that preserve founder incentives while providing hands-on operational support. Investment lens emphasizes product-market fit, repeatable unit economics, scalable GTM and partnership-driven distribution. Capital allocation balances conviction in high-margin SaaS models with disciplined staging tied to customer traction and KPIs. Decision-making blends corporate-development rigor with board-level execution, prioritizing exit optionality and durable revenue growth.
Focuses on scaling enterprise software and health-tech through selective early-to-growth equity, preferring minority stakes that preserve founder incentives while providing hands-on operational support. Investment lens emphasizes product-market fit, repeatable unit economics, scalable GTM and partnership-driven distribution. Capital allocation balances conviction in high-margin SaaS models with disciplined staging tied to customer traction and KPIs. Decision-making blends corporate-development rigor with board-level execution, prioritizing exit optionality and durable revenue growth.
| Trades 525 | Longs Won 424/525 80% | Profit Factor 64.85 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $505,615.6 |
| Average Win $117,528.87 | Best Trade (Jul 13) $7.59M | Sharpe Ratio -9.43 |
| Average Loss -$7,608 | Worst Trade (Jul 16) -$212,168.78 | Z-Score 13.42 (100%) |
| Commissions $0 | Avg. Trade Length 1y 1m 2w 6d | Expectancy $93,454.92 |
| 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% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | 23,810 | 21,429 | 19,048 | 16,667 | 14,286 | 11,905 | 9,524 | 7,143 | 4,762 | 2,381 |