Early-stage investor and operator focused on technology, consumer internet and fintech, Corey Saft brings sector-focused diligence, board-level support and deal sourcing capabilities to venture and growth equity allocations. He has experience leading product and go-to-market teams at high-growth startups and participates in direct investments and syndicates, emphasizing unit economics, scalable distribution and founder alignment. Market-facing profile emphasizes selective capital deployment into companies with defensible network effects and path-to-profitability.
Early-stage investor and operator focused on technology, consumer internet and fintech, Corey Saft brings sector-focused diligence, board-level support and deal sourcing capabilities to venture and growth equity allocations. He has experience leading product and go-to-market teams at high-growth startups and participates in direct investments and syndicates, emphasizing unit economics, scalable distribution and founder alignment. Market-facing profile emphasizes selective capital deployment into companies with defensible network effects and path-to-profitability.
Invests primarily in early-stage technology, consumer internet and fintech businesses, favoring companies with defensible network effects, clear unit economics and a credible path to profitability. Capital deployment is concentrated and staged, reserving follow-on capital for winners and prioritizing founder alignment and board-level value add. Underwriting emphasizes scalable distribution, repeatable unit economics and KPI-driven risk controls. Time horizon is multi-year (typical 3–7 years) with an operator-led, go-to-market and product execution edge to accelerate value creation.
Invests primarily in early-stage technology, consumer internet and fintech businesses, favoring companies with defensible network effects, clear unit economics and a credible path to profitability. Capital deployment is concentrated and staged, reserving follow-on capital for winners and prioritizing founder alignment and board-level value add. Underwriting emphasizes scalable distribution, repeatable unit economics and KPI-driven risk controls. Time horizon is multi-year (typical 3–7 years) with an operator-led, go-to-market and product execution edge to accelerate value creation.
| Trades 3124 | Longs Won 1940/3124 62% | Profit Factor 5.68 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $289,538.39 |
| Average Win $89,662.48 | Best Trade (Jul 16) $9.69M | Sharpe Ratio -12.37 |
| Average Loss -$25,842.63 | Worst Trade (Jun 30) -$1.5M | Z-Score 3.8 (100%) |
| Commissions $0 | Avg. Trade Length 11m 3d | Expectancy $45,885.89 |
| 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 | 22,727 | 20,455 | 18,182 | 15,909 | 13,636 | 11,364 | 9,091 | 6,818 | 4,545 | 2,273 |