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 521 | Longs Won 362/521 69% | Profit Factor 7.3 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $397,217.36 |
| Average Win $115,389.03 | Best Trade (Aug 07) $6.45M | Sharpe Ratio -10.96 |
| Average Loss -$35,992.76 | Worst Trade (Aug 07) -$1.46M | Z-Score 11.12 (100%) |
| Commissions $0 | Avg. Trade Length 9m 2w 4d | Expectancy $69,189.98 |
| 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 | 8,264 | 7,438 | 6,612 | 5,785 | 4,959 | 4,132 | 3,306 | 2,479 | 1,653 | 826 |