Operator-investor with experience across growth-stage technology and consumer markets, Justin Boggs brings operating leadership, corporate development and capital-raising experience to private equity and venture situations. He has worked on go-to-market scaling, M&A integration and board-level strategy, and is known for sourcing partnerships between strategic acquirers and portfolio companies. Prior roles span startups and corporate finance; education grounded in business/finance. Market focus: growth equity, SaaS, and consumer internet opportunities.
Operator-investor with experience across growth-stage technology and consumer markets, Justin Boggs brings operating leadership, corporate development and capital-raising experience to private equity and venture situations. He has worked on go-to-market scaling, M&A integration and board-level strategy, and is known for sourcing partnerships between strategic acquirers and portfolio companies. Prior roles span startups and corporate finance; education grounded in business/finance. Market focus: growth equity, SaaS, and consumer internet opportunities.
Operator-driven investor approach emphasizing growth equity in SaaS and consumer internet businesses. Prioritizes companies with scalable go-to-market models where active board engagement, commercial scaling and M&A optionality can materially accelerate value. Capital allocation favors growth-stage rounds that finance market expansion, product-led scaling and strategic tuck-ins; holding periods are mid-term with an eye toward strategic exits. Risk discipline stresses operational KPIs, partnership-driven customer acquisition, and repeatable unit economics.
Operator-driven investor approach emphasizing growth equity in SaaS and consumer internet businesses. Prioritizes companies with scalable go-to-market models where active board engagement, commercial scaling and M&A optionality can materially accelerate value. Capital allocation favors growth-stage rounds that finance market expansion, product-led scaling and strategic tuck-ins; holding periods are mid-term with an eye toward strategic exits. Risk discipline stresses operational KPIs, partnership-driven customer acquisition, and repeatable unit economics.
| Trades 2115 | Longs Won 635/2115 30% | Profit Factor 7.7 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $99,737.72 |
| Average Win $65,330.04 | Best Trade (Jul 13) $2.01M | Sharpe Ratio -40.97 |
| Average Loss -$3,639.6 | Worst Trade (Jul 10) -$642,143.15 | Z-Score -20.25 (100%) |
| Commissions $0 | Avg. Trade Length 5m 2w 2d | Expectancy $17,067.59 |
| 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 | 62,500 | 56,250 | 50,000 | 43,750 | 37,500 | 31,250 | 25,000 | 18,750 | 12,500 | 6,250 |