Seasoned consumer-tech operator and investor, Jay Kasting combines product leadership with growth and monetization expertise across early-stage marketplaces and platform businesses. He advises and occasionally boards seed-to-Series B startups on user acquisition, retention and unit economics, and works with venture firms on sourcing and diligence. Typical focus: consumer marketplaces, growth playbooks and revenue model optimization from launch through scalable growth.
Seasoned consumer-tech operator and investor, Jay Kasting combines product leadership with growth and monetization expertise across early-stage marketplaces and platform businesses. He advises and occasionally boards seed-to-Series B startups on user acquisition, retention and unit economics, and works with venture firms on sourcing and diligence. Typical focus: consumer marketplaces, growth playbooks and revenue model optimization from launch through scalable growth.
Deploys operator-led, growth-centric capital into seed–Series B consumer marketplaces and platform businesses, prioritizing unit-economics improvement and repeatable acquisition channels. Focuses on business models where product and monetization levers scale together, using hands-on GTM support, cohort-level metrics and A/B-driven experiments to de-risk expansion. Capital allocation favors founders who can iterate quickly on retention and revenue; investment horizon is growth-stage with active board or advisor involvement and disciplined payback and CAC/LTV thresholds.
Deploys operator-led, growth-centric capital into seed–Series B consumer marketplaces and platform businesses, prioritizing unit-economics improvement and repeatable acquisition channels. Focuses on business models where product and monetization levers scale together, using hands-on GTM support, cohort-level metrics and A/B-driven experiments to de-risk expansion. Capital allocation favors founders who can iterate quickly on retention and revenue; investment horizon is growth-stage with active board or advisor involvement and disciplined payback and CAC/LTV thresholds.
| Trades 433 | Longs Won 290/433 66% | Profit Factor 12.97 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $447,776.47 |
| Average Win $122,956.11 | Best Trade (Jun 14) $6.88M | Sharpe Ratio -9.7 |
| Average Loss -$19,225.15 | Worst Trade (Mar 31) -$574,501.42 | Z-Score 8.15 (100%) |
| Commissions $0 | Avg. Trade Length 8m 4w 1d | Expectancy $76,000.18 |
| 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 | 11,905 | 10,714 | 9,524 | 8,333 | 7,143 | 5,952 | 4,762 | 3,571 | 2,381 | 1,190 |