Operator and investor focused on growth-stage technology and SaaS companies with an emphasis on revenue acceleration and product-market fit. Riley Stephenson is a former operator-turned-investor with experience scaling product and go-to-market teams and sourcing early-stage opportunities. Active in seed and Series A rounds, portfolio approach blends hands-on operational support with founder-led governance and commercial scaling expertise.
Operator and investor focused on growth-stage technology and SaaS companies with an emphasis on revenue acceleration and product-market fit. Riley Stephenson is a former operator-turned-investor with experience scaling product and go-to-market teams and sourcing early-stage opportunities. Active in seed and Series A rounds, portfolio approach blends hands-on operational support with founder-led governance and commercial scaling expertise.
Focuses on growth-stage technology and SaaS businesses with a hands-on, operator-led approach to accelerate revenue and crystallize product-market fit. Capital allocation prioritizes GTM expansion, key product hires, and early revenue milestones; follow-on reserves support commercialization inflection points. Operates with a founder-aligned governance style, active board/advisory involvement, and KPI-driven underwriting that emphasizes unit economics and repeatable sales motion. Typical horizon targets medium-term scale events with concentrated, milestone-based risk controls and network-driven sourcing.
Focuses on growth-stage technology and SaaS businesses with a hands-on, operator-led approach to accelerate revenue and crystallize product-market fit. Capital allocation prioritizes GTM expansion, key product hires, and early revenue milestones; follow-on reserves support commercialization inflection points. Operates with a founder-aligned governance style, active board/advisory involvement, and KPI-driven underwriting that emphasizes unit economics and repeatable sales motion. Typical horizon targets medium-term scale events with concentrated, milestone-based risk controls and network-driven sourcing.
| Trades 256 | Longs Won 196/256 76% | Profit Factor 73.96 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $881,403.53 |
| Average Win $229,776.18 | Best Trade (Jul 16) $8.33M | Sharpe Ratio -108.64 |
| Average Loss -$10,149.19 | Worst Trade (Mar 30) -$123,573.62 | Z-Score 12.87 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 2w 6d | Expectancy $173,543.67 |
| 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 | 19,608 | 17,647 | 15,686 | 13,725 | 11,765 | 9,804 | 7,843 | 5,882 | 3,922 | 1,961 |