Seasoned operator and early-stage investor focused on technology and founders, Katherine Vessenes brings operating leadership, venture advisory and board experience to seed and Series A companies. She specializes in enterprise SaaS, fintech and developer platforms, advising on go-to-market, product-market fit and fundraising strategy while actively angel investing and mentoring diverse founder cohorts. Regular speaker and network builder, she leverages community engagement to source deal flow and support portfolio growth.
Seasoned operator and early-stage investor focused on technology and founders, Katherine Vessenes brings operating leadership, venture advisory and board experience to seed and Series A companies. She specializes in enterprise SaaS, fintech and developer platforms, advising on go-to-market, product-market fit and fundraising strategy while actively angel investing and mentoring diverse founder cohorts. Regular speaker and network builder, she leverages community engagement to source deal flow and support portfolio growth.
Operates as a founder‑centric early-stage investor who prioritizes product-market fit, founder-market alignment and go-to-market leverage in enterprise SaaS, fintech and developer tooling. Prefers seed and Series A stakes with concentrated initial checks and selective follow‑ons, allocating capital to companies with defensible network effects and clear monetization paths. Investment decisions emphasize operator experience, rapid customer feedback loops and fundraising readiness. Sources opportunities through community networks and mentorship programs, adopting a hands-on, growth-oriented approach to de-risk early hypotheses and accelerate scalable commercial traction.
Operates as a founder‑centric early-stage investor who prioritizes product-market fit, founder-market alignment and go-to-market leverage in enterprise SaaS, fintech and developer tooling. Prefers seed and Series A stakes with concentrated initial checks and selective follow‑ons, allocating capital to companies with defensible network effects and clear monetization paths. Investment decisions emphasize operator experience, rapid customer feedback loops and fundraising readiness. Sources opportunities through community networks and mentorship programs, adopting a hands-on, growth-oriented approach to de-risk early hypotheses and accelerate scalable commercial traction.
| Trades 218 | Longs Won 190/218 87% | Profit Factor 153.85 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $771,779.46 |
| Average Win $211,687.64 | Best Trade (Jul 14) $9.24M | Sharpe Ratio -66.2 |
| Average Loss -$9,336.89 | Worst Trade (Jul 14) -$153,828.64 | Z-Score 31.32 (100%) |
| Commissions $0 | Avg. Trade Length 10m 3w 6d | Expectancy $183,299.17 |
| 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 | 23,256 | 20,930 | 18,605 | 16,279 | 13,953 | 11,628 | 9,302 | 6,977 | 4,651 | 2,326 |