Growth-stage software and marketplace investor with hands-on operating experience, Ryan Westerbeck is an active angel investor and advisor to early-stage founders. Leans toward SaaS, developer tools, and fintech; profiles deals assessing unit economics, go-to-market scale and founder-market fit; frequently participates in seed and Series A rounds and advises on GTM, metrics and hiring; based in U.S., engages with venture funds and syndicates.
Growth-stage software and marketplace investor with hands-on operating experience, Ryan Westerbeck is an active angel investor and advisor to early-stage founders. Leans toward SaaS, developer tools, and fintech; profiles deals assessing unit economics, go-to-market scale and founder-market fit; frequently participates in seed and Series A rounds and advises on GTM, metrics and hiring; based in U.S., engages with venture funds and syndicates.
Prefers hands-on, growth-stage investing in SaaS, developer tools and fintech where product-led scale and repeatable unit economics are visible. Allocates modest, concentrated checks into seed and Series A rounds to secure board/advisor influence and accelerate go-to-market execution. Evaluates opportunities through founder-market fit, defensible technical differentiation, and clear paths to 3x–10x ARR expansion; prioritizes capital-efficient growth and metrics-driven hiring. Time horizon is multi-year with active operational support to derisk product-market fit, refine GTM motions and optimize unit economics. Risk discipline centers on staging capital against key milestones and syndicating with specialist funds and angels.
Prefers hands-on, growth-stage investing in SaaS, developer tools and fintech where product-led scale and repeatable unit economics are visible. Allocates modest, concentrated checks into seed and Series A rounds to secure board/advisor influence and accelerate go-to-market execution. Evaluates opportunities through founder-market fit, defensible technical differentiation, and clear paths to 3x–10x ARR expansion; prioritizes capital-efficient growth and metrics-driven hiring. Time horizon is multi-year with active operational support to derisk product-market fit, refine GTM motions and optimize unit economics. Risk discipline centers on staging capital against key milestones and syndicating with specialist funds and angels.
| Trades 415 | Longs Won 288/415 69% | Profit Factor 5.34 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $217,743.64 |
| Average Win $95,241.13 | Best Trade (Jul 13) $2.2M | Sharpe Ratio -63.29 |
| Average Loss -$40,479.96 | Worst Trade (Jul 10) -$1.09M | Z-Score 5.47 (100%) |
| Commissions $0 | Avg. Trade Length 7m 1w | Expectancy $53,707.21 |
| 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 | 3,876 | 3,488 | 3,101 | 2,713 | 2,326 | 1,938 | 1,550 | 1,163 | 775 | 388 |