Former operator turned investor focused on growth-stage technology and consumer businesses, Mukunda Loprinzi brings product and go-to-market expertise to private-market allocations. Works with founders on category expansion, customer acquisition and unit-economics optimization; typical check sizes target seed to Series B rounds. Background emphasizes operating roles in SaaS and marketplaces and active board participation; investment style is sector-generalist with a bias toward scalable unit economics.
Former operator turned investor focused on growth-stage technology and consumer businesses, Mukunda Loprinzi brings product and go-to-market expertise to private-market allocations. Works with founders on category expansion, customer acquisition and unit-economics optimization; typical check sizes target seed to Series B rounds. Background emphasizes operating roles in SaaS and marketplaces and active board participation; investment style is sector-generalist with a bias toward scalable unit economics.
Operator-led growth investor focused on seed to Series B technology and consumer businesses, prioritizing companies with scalable unit economics and repeatable customer acquisition. Emphasizes product and go-to-market partnerships, active board involvement, and hands-on work to improve unit economics, retention and category expansion. Capital deployment favors concentrated, high-conviction checks in companies demonstrating strong LTV/CAC dynamics, clear path to margin expansion, and defensible marketplace or SaaS moats.
Operator-led growth investor focused on seed to Series B technology and consumer businesses, prioritizing companies with scalable unit economics and repeatable customer acquisition. Emphasizes product and go-to-market partnerships, active board involvement, and hands-on work to improve unit economics, retention and category expansion. Capital deployment favors concentrated, high-conviction checks in companies demonstrating strong LTV/CAC dynamics, clear path to margin expansion, and defensible marketplace or SaaS moats.
| Trades 33 | Longs Won 19/33 57% | Profit Factor 0.83 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $434,936.39 |
| Average Win $256,715.68 | Best Trade (Jul 13) $933,068.41 | Sharpe Ratio -394.05 |
| Average Loss -$418,584.54 | Worst Trade (Jul 10) -$983,265.08 | Z-Score 0.86 (61.12%) |
| Commissions $0 | Avg. Trade Length 1y 6m 2w 3d | Expectancy -$29,775.32 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | 4.62P% | 355.8B% | 1.4B% | 27.4M% | 1.3M% | 107,520.74% | 13,082.35% | 2,109.81% | 421.95% |
| Consecutive Losing Trades | 104 | 94 | 83 | 73 | 63 | 52 | 42 | 31 | 21 | 10 |