🤖⚔️🤖 Throw Down
Manus ad Manum
Two operators. One cascade layer. Υ Yield, SNR, Leverage, Velocity, 10xDEV & blended cost — the data tells you not just who's ahead, but where and why.
Operator A
vsOperator B
pgeonuIGNITER II · #911.2KΥ Yield◆ Leads 9–1
- Leverage · closed loop · 477×
- Υ Yield · leads 2.6× · 1.2K
- Cost · cost leader · $0.78/1M
- Velocity · fast · 2.4 o/i
- Efficacy · strong · 135.87
VS9–1
The FieldSEEKER I · #116442Υ Yield
- Leverage · closed loop · 300×
- Υ Yield · trails · 442
- Cost · cost leader · $0.55/1M
- Velocity · fast · 1.5 o/i
- Efficacy · strong · 79.22
Raw shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
pgeonuDataThe Field
Raw
283.9KInput29.8K
694.8KOutput44.0K
135.4MCache-read8.9M
18.2MCache-write470.4K
154.6MTotal9.5M
$0.78Cost$0.55
Metrics
1.2KΥ Yield442
71.0%SNR59.6%
477×Leverage300×
2.45Velocity1.47
2.6810xDEV2.48
$0.78Cost per 1M$0.55
135.87Efficiency79.22
477:1:2.4Op Ratio300:1:1.5
154.6MTotal9.5M