🤖⚔️🤖 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
minkihanREFINER II · #831.7KΥ Yield◆ Leads 9–1
- Leverage · closed loop · 920×
- Υ Yield · leads 3.9× · 1.7K
- Cost · cost leader · $0.59/1M
- Velocity · fast · 1.9 o/i
- Efficacy · strong · 249.05
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.
minkihanDataThe Field
Raw
2.0MInput29.8K
3.7MOutput44.0K
1835.7MCache-read8.9M
148.2MCache-write470.4K
1989.6MTotal9.5M
$0.59Cost$0.55
Metrics
1.7KΥ Yield442
65.1%SNR59.6%
920×Leverage300×
1.87Velocity1.47
2.9610xDEV2.48
$0.59Cost per 1M$0.55
249.05Efficiency79.22
920:1:1.9Op Ratio300:1:1.5
1989.6MTotal9.5M