Former technology operator turned investor with experience in growth-stage software and fintech investing. Grace H. Holt led product and GTM teams at venture-backed startups before moving into venture capital and focuses on Series A–B rounds, portfolio company scaling, and board-level operational support. Market-facing profile prioritizes revenue acceleration, customer retention, and founder-led teams.
Former technology operator turned investor with experience in growth-stage software and fintech investing. Grace H. Holt led product and GTM teams at venture-backed startups before moving into venture capital and focuses on Series A–B rounds, portfolio company scaling, and board-level operational support. Market-facing profile prioritizes revenue acceleration, customer retention, and founder-led teams.
Former operator mindset prioritizes growth-stage, founder-led software and fintech opportunities where product-market fit is evident and go-to-market acceleration drives valuation. Capital allocation favors Series A–B rounds with follow-on reserves, combining conviction-sized initial checks and hands-on operational support to accelerate revenue, improve retention, and scale GTM. Underwriting emphasizes unit economics, retention cohorts, and defensible product differentiation. Time horizon is growth-oriented multi-year scale to liquidity; risk discipline centers on measurable growth KPIs and board-level governance.
Former operator mindset prioritizes growth-stage, founder-led software and fintech opportunities where product-market fit is evident and go-to-market acceleration drives valuation. Capital allocation favors Series A–B rounds with follow-on reserves, combining conviction-sized initial checks and hands-on operational support to accelerate revenue, improve retention, and scale GTM. Underwriting emphasizes unit economics, retention cohorts, and defensible product differentiation. Time horizon is growth-oriented multi-year scale to liquidity; risk discipline centers on measurable growth KPIs and board-level governance.
| Trades 147 | Longs Won 105/147 71% | Profit Factor 6.77 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $315,079.39 |
| Average Win $163,855.91 | Best Trade (Jul 10) $2.09M | Sharpe Ratio -9.95 |
| Average Loss -$60,483.59 | Worst Trade (Jul 17) -$432,226.36 | Z-Score 5.18 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m | Expectancy $99,758.91 |
| 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 | 1,445 | 1,301 | 1,156 | 1,012 | 867 | 723 | 578 | 434 | 289 | 145 |