Early-stage investor and former operator focused on enterprise software, cloud infrastructure and cybersecurity, known for sourcing and advising growth-stage technology companies. Scott Noble leverages hands-on product and GTM experience to support scaling teams, capital allocation and board-level governance. Works with founders on fundraising strategy, commercial expansion and M&A preparation. Market-facing profile emphasizes pragmatic operational playbooks, sector expertise in B2B software and durable network effects that appeal to growth-oriented investors.
Early-stage investor and former operator focused on enterprise software, cloud infrastructure and cybersecurity, known for sourcing and advising growth-stage technology companies. Scott Noble leverages hands-on product and GTM experience to support scaling teams, capital allocation and board-level governance. Works with founders on fundraising strategy, commercial expansion and M&A preparation. Market-facing profile emphasizes pragmatic operational playbooks, sector expertise in B2B software and durable network effects that appeal to growth-oriented investors.
Early-stage, operator-led investor prioritizing enterprise software, cloud infrastructure and cybersecurity. Allocates capital to founders building durable network effects and recurring revenue, favoring product-led growth, scalable GTM and defensible technical moats. Mixes hands-on operational support with board governance to de-risk scaling, leaning toward follow-on reserve for growth rounds. Risk discipline emphasizes unit-economics, customer retention and predictable ARR expansion over short-term exits.
Early-stage, operator-led investor prioritizing enterprise software, cloud infrastructure and cybersecurity. Allocates capital to founders building durable network effects and recurring revenue, favoring product-led growth, scalable GTM and defensible technical moats. Mixes hands-on operational support with board governance to de-risk scaling, leaning toward follow-on reserve for growth rounds. Risk discipline emphasizes unit-economics, customer retention and predictable ARR expansion over short-term exits.
| Trades 828 | Longs Won 537/828 64% | Profit Factor 4.7 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $334,147.57 |
| Average Win $127,569.73 | Best Trade (Jul 15) $3.83M | Sharpe Ratio -10.08 |
| Average Loss -$50,132.21 | Worst Trade (Jul 10) -$1.04M | Z-Score 2.44 (98.55%) |
| Commissions $0 | Avg. Trade Length 1y 2m 5d | Expectancy $65,116.51 |
| 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 | 4,167 | 3,750 | 3,333 | 2,917 | 2,500 | 2,083 | 1,667 | 1,250 | 833 | 417 |