Operator-turned-investor focused on scaling technology startups, with hands-on experience in product, engineering and growth across SaaS and consumer platforms. Dustin Schick advises founders, participates in seed and early-stage financings and helps portfolio companies with go-to-market strategy, hiring and metrics-driven product development. Active in angel and micro-VC ecosystems, maintains networks across founders, operators and limited partners and is frequently involved in corporate development and strategic partnerships.
Operator-turned-investor focused on scaling technology startups, with hands-on experience in product, engineering and growth across SaaS and consumer platforms. Dustin Schick advises founders, participates in seed and early-stage financings and helps portfolio companies with go-to-market strategy, hiring and metrics-driven product development. Active in angel and micro-VC ecosystems, maintains networks across founders, operators and limited partners and is frequently involved in corporate development and strategic partnerships.
Operator-turned-investor who targets seed and early-stage SaaS and consumer startups where product-led growth and measurable engagement metrics drive valuation. Prefers concentrated, high-conviction positions with reserved capital for follow-on rounds; investment decisions are grounded in founder quality, technical execution capacity, and repeatable go-to-market motion. Employs a hands-on playbook—advising on hiring, product analytics, growth experiments and strategic partnerships—to de-risk operational execution. Time horizon is long-term value creation, with valuation discipline and network-enabled syndication to accelerate scale.
Operator-turned-investor who targets seed and early-stage SaaS and consumer startups where product-led growth and measurable engagement metrics drive valuation. Prefers concentrated, high-conviction positions with reserved capital for follow-on rounds; investment decisions are grounded in founder quality, technical execution capacity, and repeatable go-to-market motion. Employs a hands-on playbook—advising on hiring, product analytics, growth experiments and strategic partnerships—to de-risk operational execution. Time horizon is long-term value creation, with valuation discipline and network-enabled syndication to accelerate scale.
| Trades 1274 | Longs Won 811/1274 63% | Profit Factor 4.16 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $467,694.57 |
| Average Win $101,963.83 | Best Trade (Jul 15) $12.58M | Sharpe Ratio -12.49 |
| Average Loss -$42,956.87 | Worst Trade (Jul 15) -$3.92M | Z-Score -2.54 (100%) |
| Commissions $0 | Avg. Trade Length 1y 2m 5d | Expectancy $49,296.41 |
| 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 | 6,289 | 5,660 | 5,031 | 4,403 | 3,774 | 3,145 | 2,516 | 1,887 | 1,258 | 629 |