Experienced operator and early-stage investor focused on technology and consumer businesses with emphasis on scaling revenue models, product-market fit, and go-to-market execution. Brandon Hobson is known for founding and advising high-growth startups, structuring seed to Series A financings, and engaging with strategic acquirers and venture limited partners. The profile is relevant to private-market investors evaluating founder-led rounds, corporate development teams sourcing M&A, and LPs tracking active angel investors.
Experienced operator and early-stage investor focused on technology and consumer businesses with emphasis on scaling revenue models, product-market fit, and go-to-market execution. Brandon Hobson is known for founding and advising high-growth startups, structuring seed to Series A financings, and engaging with strategic acquirers and venture limited partners. The profile is relevant to private-market investors evaluating founder-led rounds, corporate development teams sourcing M&A, and LPs tracking active angel investors.
Operator-investor approach prioritizes founder–market fit, scalable revenue models and rapid product–market validation. Focuses on seed to Series A tech and consumer startups where hands-on go‑to‑market support accelerates customer acquisition and unit-economics improvement. Capital allocation blends small, concentrated angel stakes with follow-on reserves to protect ownership; horizon is growth-oriented mid-term exits via acquisition or scale rounds, guided by operational KPIs and disciplined downside protection.
Operator-investor approach prioritizes founder–market fit, scalable revenue models and rapid product–market validation. Focuses on seed to Series A tech and consumer startups where hands-on go‑to‑market support accelerates customer acquisition and unit-economics improvement. Capital allocation blends small, concentrated angel stakes with follow-on reserves to protect ownership; horizon is growth-oriented mid-term exits via acquisition or scale rounds, guided by operational KPIs and disciplined downside protection.
| Trades 884 | Longs Won 688/884 77% | Profit Factor 19.7 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $495,599.36 |
| Average Win $109,901.13 | Best Trade (Jul 16) $9.39M | Sharpe Ratio -11.58 |
| Average Loss -$19,578.56 | Worst Trade (Jul 13) -$386,503.19 | Z-Score 13.5 (100%) |
| Commissions $0 | Avg. Trade Length 1y 2m 2w 1d | Expectancy $81,192.96 |
| 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 | 16,949 | 15,254 | 13,559 | 11,864 | 10,169 | 8,475 | 6,780 | 5,085 | 3,390 | 1,695 |