Investor and entrepreneur focused on early-stage technology and sustainability themes. Ruza Susnik builds portfolios through direct seed investments and strategic angel syndicates, bringing operating experience from founding and scaling startups and serving on boards of growth-stage companies. Offers sector expertise across SaaS, climate tech and consumer digital, with an emphasis on product-market fit and go-to-market execution. Engages with LPs and co-investors on diligence, capital allocation and value-added post-investment support.
Investor and entrepreneur focused on early-stage technology and sustainability themes. Ruza Susnik builds portfolios through direct seed investments and strategic angel syndicates, bringing operating experience from founding and scaling startups and serving on boards of growth-stage companies. Offers sector expertise across SaaS, climate tech and consumer digital, with an emphasis on product-market fit and go-to-market execution. Engages with LPs and co-investors on diligence, capital allocation and value-added post-investment support.
Builds concentrated early‑stage portfolios focused on SaaS, climate tech and consumer digital, combining seed checks and angel syndicates to optimize deal flow and co-investor leverage. Emphasizes product‑market fit, repeatable go‑to‑market models and founder execution when allocating capital, with a bias toward active board-level support and operational value creation. Applies a long‑horizon, high-risk/high-reward lens, disciplined stage sizing, staged follow‑on commitments and portfolio diversification across themes to manage downside.
Builds concentrated early‑stage portfolios focused on SaaS, climate tech and consumer digital, combining seed checks and angel syndicates to optimize deal flow and co-investor leverage. Emphasizes product‑market fit, repeatable go‑to‑market models and founder execution when allocating capital, with a bias toward active board-level support and operational value creation. Applies a long‑horizon, high-risk/high-reward lens, disciplined stage sizing, staged follow‑on commitments and portfolio diversification across themes to manage downside.
| Trades 666 | Longs Won 365/666 54% | Profit Factor 5.65 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $3.1M |
| Average Win $1.33M | Best Trade (Jul 15) $47.99M | Sharpe Ratio -326.78 |
| Average Loss -$284,556.18 | Worst Trade (Mar 31) -$7.89M | Z-Score -0.42 (32.89%) |
| Commissions $0 | Avg. Trade Length 9m 4d | Expectancy $598,642.71 |
| 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 | 5,780 | 5,202 | 4,624 | 4,046 | 3,468 | 2,890 | 2,312 | 1,734 | 1,156 | 578 |