Operator and investor focused on growth-stage SaaS and fintech companies, with experience in scaling product and GTM teams across B2B markets. Jordan Grabowski brings operating leadership as a former head of growth and product at startups and has advised venture funds on diligence and portfolio operational support. Known for metric-driven go-to-market strategies, customer lifecycle optimization, and early-stage board work. Often active as angel investor and mentor to founders.
Operator and investor focused on growth-stage SaaS and fintech companies, with experience in scaling product and GTM teams across B2B markets. Jordan Grabowski brings operating leadership as a former head of growth and product at startups and has advised venture funds on diligence and portfolio operational support. Known for metric-driven go-to-market strategies, customer lifecycle optimization, and early-stage board work. Often active as angel investor and mentor to founders.
Focuses on growth-stage SaaS and fintech companies, favoring B2B models with clear unit economics and scalable GTM. Emphasizes metric-driven portfolio construction, prioritizing ARR expansion, retention, and CAC payback. Capital deployment mixes pre-seed to growth check sizes with active operational support; horizon is growth-cycle oriented (18–48 months to inflection). Risk management relies on staged financing, KPI milestones, and founder alignment. Competitive edge is hands-on product and growth scaling, translating customer lifecycle optimization into repeatable revenue engines.
Focuses on growth-stage SaaS and fintech companies, favoring B2B models with clear unit economics and scalable GTM. Emphasizes metric-driven portfolio construction, prioritizing ARR expansion, retention, and CAC payback. Capital deployment mixes pre-seed to growth check sizes with active operational support; horizon is growth-cycle oriented (18–48 months to inflection). Risk management relies on staged financing, KPI milestones, and founder alignment. Competitive edge is hands-on product and growth scaling, translating customer lifecycle optimization into repeatable revenue engines.
| Trades 349 | Longs Won 250/349 71% | Profit Factor 12.88 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $372,072.25 |
| Average Win $132,890.89 | Best Trade (Jul 13) $4.54M | Sharpe Ratio -14.17 |
| Average Loss -$26,047.01 | Worst Trade (Jul 10) -$655,437.72 | Z-Score 10.65 (100%) |
| Commissions $0 | Avg. Trade Length 9m 2w 2d | Expectancy $87,805.35 |
| 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 | 8,333 | 7,500 | 6,667 | 5,833 | 5,000 | 4,167 | 3,333 | 2,500 | 1,667 | 833 |