Seasoned operator and investor focused on scaling growth-stage technology companies, with hands-on experience in product-led SaaS, go-to-market execution and board-level governance. Peter Mann deploys capital across seed to growth equity, often leading rounds or advising on M&A and fundraising strategy. Market-facing strengths include unit-economics optimization, commercial strategy and building repeatable revenue models for enterprise and marketplace businesses.
Seasoned operator and investor focused on scaling growth-stage technology companies, with hands-on experience in product-led SaaS, go-to-market execution and board-level governance. Peter Mann deploys capital across seed to growth equity, often leading rounds or advising on M&A and fundraising strategy. Market-facing strengths include unit-economics optimization, commercial strategy and building repeatable revenue models for enterprise and marketplace businesses.
Focuses on scaling growth-stage technology companies through hands‑on partnerships, prioritizing product‑led SaaS and marketplace models where unit economics and repeatable revenue are actionable. Executes capital deployment across seed to growth equity, often taking lead stakes or board roles to influence go‑to‑market execution, pricing and sales efficiency. Emphasizes durable customer LTV, unit-economics-driven runway, and clear paths to profitable growth; prefers companies with measurable KPIs, strong founder alignment and M&A optionality.
Focuses on scaling growth-stage technology companies through hands‑on partnerships, prioritizing product‑led SaaS and marketplace models where unit economics and repeatable revenue are actionable. Executes capital deployment across seed to growth equity, often taking lead stakes or board roles to influence go‑to‑market execution, pricing and sales efficiency. Emphasizes durable customer LTV, unit-economics-driven runway, and clear paths to profitable growth; prefers companies with measurable KPIs, strong founder alignment and M&A optionality.
| Trades 4 | Longs Won 0/4 0% | Profit Factor - |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $174.33M |
| Average Win $0 | Best Trade - | Sharpe Ratio -7.89 |
| Average Loss -$119.17M | Worst Trade (Jun 16) -$360.3M | Z-Score 0 (0%) |
| Commissions $0 | Avg. Trade Length 9m | Expectancy -$108.12M |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | - | - | - | - | - | - | - | - | - | - |
| Consecutive Losing Trades | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 0 | 0 |