Former fintech operator and growth-oriented investor, Tyler Johnson has led product and GTM functions at scaling SaaS and payments businesses, focusing on B2B commercialisation and unit-economics improvement. Known for operationally active angel and seed investments across payments, analytics, and developer tools, he helps portfolio companies on go-to-market, pricing and metrics. Background blends product management and strategy with stints in venture and corporate development; holds a BA and an MBA-level finance education. Networks into regional venture ecosystems and LP relationships, making him a credible early-stage lead or operator-partner for funds targeting fintech and SaaS expansion.
Former fintech operator and growth-oriented investor, Tyler Johnson has led product and GTM functions at scaling SaaS and payments businesses, focusing on B2B commercialisation and unit-economics improvement. Known for operationally active angel and seed investments across payments, analytics, and developer tools, he helps portfolio companies on go-to-market, pricing and metrics. Background blends product management and strategy with stints in venture and corporate development; holds a BA and an MBA-level finance education. Networks into regional venture ecosystems and LP relationships, making him a credible early-stage lead or operator-partner for funds targeting fintech and SaaS expansion.
Operator-led, growth-stage bias focused on early-stage fintech and B2B SaaS opportunities. Prioritises investments where product-market fit can be accelerated through go-to-market rigor, pricing optimisation and unit-economics improvement, often taking active board or operator-partner roles. Allocates capital with a 3–7 year growth horizon, blending angel check agility with venture discipline: conviction-based concentrated bets, milestone-driven follow-ons, rigorous metric cadence and networked LP/GTM support to de-risk commercialization.
Operator-led, growth-stage bias focused on early-stage fintech and B2B SaaS opportunities. Prioritises investments where product-market fit can be accelerated through go-to-market rigor, pricing optimisation and unit-economics improvement, often taking active board or operator-partner roles. Allocates capital with a 3–7 year growth horizon, blending angel check agility with venture discipline: conviction-based concentrated bets, milestone-driven follow-ons, rigorous metric cadence and networked LP/GTM support to de-risk commercialization.
| Trades 373 | Longs Won 285/373 76% | Profit Factor 39.7 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $680,397.76 |
| Average Win $175,876.49 | Best Trade (Jul 16) $10.75M | Sharpe Ratio -9.86 |
| Average Loss -$14,347.1 | Worst Trade (Jul 16) -$222,016.46 | Z-Score 11.95 (100%) |
| Commissions $0 | Avg. Trade Length 9m 2w 2d | Expectancy $130,998 |
| 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 | 20,408 | 18,367 | 16,327 | 14,286 | 12,245 | 10,204 | 8,163 | 6,122 | 4,082 | 2,041 |