Veteran technology entrepreneur and investor focused on enterprise software, cloud and AI-enabled infrastructure, with operating experience scaling startups to exits and managing growth-stage initiatives. Venkatram Krishnamurthy brings hands-on product and GTM leadership, sits on several private company boards, and leads angel and seed rounds for B2B SaaS founders. Known for mentoring executive teams and advising on fundraising, go-to-market, and strategic M&A paths.
Veteran technology entrepreneur and investor focused on enterprise software, cloud and AI-enabled infrastructure, with operating experience scaling startups to exits and managing growth-stage initiatives. Venkatram Krishnamurthy brings hands-on product and GTM leadership, sits on several private company boards, and leads angel and seed rounds for B2B SaaS founders. Known for mentoring executive teams and advising on fundraising, go-to-market, and strategic M&A paths.
Hands-on investor prioritizing enterprise software, cloud and AI-enabled infrastructure businesses with durable go-to-market moats. Focuses on seed and growth-stage B2B SaaS, deploying capital alongside active operational support—product roadmap, GTM scaling, fundraising and M&A positioning. Prefers pragmatic capital allocation with milestone-driven checks, founder-aligned economics, and 12–48 month horizons to de-risk early commercialization. Underwrites deals for technical differentiation, unit-economics improvement and repeatable sales motion while providing board-level governance and strategic exits guidance.
Hands-on investor prioritizing enterprise software, cloud and AI-enabled infrastructure businesses with durable go-to-market moats. Focuses on seed and growth-stage B2B SaaS, deploying capital alongside active operational support—product roadmap, GTM scaling, fundraising and M&A positioning. Prefers pragmatic capital allocation with milestone-driven checks, founder-aligned economics, and 12–48 month horizons to de-risk early commercialization. Underwrites deals for technical differentiation, unit-economics improvement and repeatable sales motion while providing board-level governance and strategic exits guidance.
| Trades 995 | Longs Won 653/995 65% | Profit Factor 5.92 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $743,818.57 |
| Average Win $143,956.35 | Best Trade (Jun 02) $14.87M | Sharpe Ratio -10.54 |
| Average Loss -$46,419.17 | Worst Trade (Jun 30) -$1.47M | Z-Score 2.93 (99.66%) |
| Commissions $0 | Avg. Trade Length 1y 11m 3w 1d | Expectancy $78,520.74 |
| 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% | 0.08% |
| Consecutive Losing Trades | 5,181 | 4,663 | 4,145 | 3,627 | 3,109 | 2,591 | 2,073 | 1,554 | 1,036 | 518 |