Seasoned operator and angel investor focused on consumer technology, growth marketing and early-stage product development. Crystal Prachyl advises startups, sources seed investments and serves on boards, bringing an operator-to-investor perspective to portfolio companies. Background blends product leadership, go-to-market execution and founding experience; active in deal sourcing, diligence and hands-on scaling support. Typical engagement spans pre-seed to Series A, offering tactical growth playbooks, hiring support and board-level guidance.
Seasoned operator and angel investor focused on consumer technology, growth marketing and early-stage product development. Crystal Prachyl advises startups, sources seed investments and serves on boards, bringing an operator-to-investor perspective to portfolio companies. Background blends product leadership, go-to-market execution and founding experience; active in deal sourcing, diligence and hands-on scaling support. Typical engagement spans pre-seed to Series A, offering tactical growth playbooks, hiring support and board-level guidance.
Operator-led, conviction-driven approach targeting early-stage consumer technology companies where product and growth marketing are core differentiators. Capital deployment favors pre-seed to Series A rounds with concentrated, high‑engagement stakes and a bias toward founder-aligned teams. Investment decisions emphasize repeatable go-to-market signals, unit-economics traction, and founder coachability. Portfolio support combines tactical growth playbooks, hiring and GTM execution, and board-level governance to de‑risk scaling. Time horizon is medium-term with staged follow-on funding tied to operational milestones and clear exit pathways.
Operator-led, conviction-driven approach targeting early-stage consumer technology companies where product and growth marketing are core differentiators. Capital deployment favors pre-seed to Series A rounds with concentrated, high‑engagement stakes and a bias toward founder-aligned teams. Investment decisions emphasize repeatable go-to-market signals, unit-economics traction, and founder coachability. Portfolio support combines tactical growth playbooks, hiring and GTM execution, and board-level governance to de‑risk scaling. Time horizon is medium-term with staged follow-on funding tied to operational milestones and clear exit pathways.
| Trades 171 | Longs Won 116/171 67% | Profit Factor 23.37 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $554,679.03 |
| Average Win $368,069.63 | Best Trade (Jul 10) $4.71M | Sharpe Ratio -11.38 |
| Average Loss -$33,216.35 | Worst Trade (Mar 30) -$359,456.86 | Z-Score 4.73 (100%) |
| Commissions $0 | Avg. Trade Length 10m | Expectancy $239,001.04 |
| 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 |