Entrepreneur and early-stage investor focused on consumer and technology businesses, with operating experience in scaling marketplaces and founder-led teams. Known for hands-on growth work, Travis Weitz has founded and advised multiple startups, deploying seed and pre-seed capital and helping prepare companies for Series A exits. Background blends operator and angel investor roles; network-oriented approach to board advising, go-to-market, and capital formation.
Entrepreneur and early-stage investor focused on consumer and technology businesses, with operating experience in scaling marketplaces and founder-led teams. Known for hands-on growth work, Travis Weitz has founded and advised multiple startups, deploying seed and pre-seed capital and helping prepare companies for Series A exits. Background blends operator and angel investor roles; network-oriented approach to board advising, go-to-market, and capital formation.
Early-stage, founder-focused investor targeting consumer and technology businesses—especially marketplaces and network effects—where hands-on growth and go-to-market execution unlock scale. Prefers seed and pre-seed allocations with concentrated conviction bets and reserved follow-on capital for Series A. Underwrites teams by founder strength, unit economics, and clear customer LTV/CAC paths, using active mentorship, board-level operational support, and network-driven introductions to accelerate product-market fit. Time horizon is growth-oriented multi-year scale to exit; risk managed through stage discipline, rapid traction milestones, and operational involvement to derisk commercialization.
Early-stage, founder-focused investor targeting consumer and technology businesses—especially marketplaces and network effects—where hands-on growth and go-to-market execution unlock scale. Prefers seed and pre-seed allocations with concentrated conviction bets and reserved follow-on capital for Series A. Underwrites teams by founder strength, unit economics, and clear customer LTV/CAC paths, using active mentorship, board-level operational support, and network-driven introductions to accelerate product-market fit. Time horizon is growth-oriented multi-year scale to exit; risk managed through stage discipline, rapid traction milestones, and operational involvement to derisk commercialization.
| Trades 604 | Longs Won 405/604 67% | Profit Factor 3.84 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $129,273.21 |
| Average Win $53,821.33 | Best Trade (Jul 17) $1.06M | Sharpe Ratio -12.5 |
| Average Loss -$28,514.01 | Worst Trade (Jul 10) -$909,877.9 | Z-Score 8.17 (100%) |
| Commissions $0 | Avg. Trade Length 10m 2w 1d | Expectancy $26,694.29 |
| 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 | 3,745 | 3,371 | 2,996 | 2,622 | 2,247 | 1,873 | 1,498 | 1,124 | 749 | 375 |