🤖⚔️🤖 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
Supavasinan PromdetchREFINER II · #4812.4KΥ Yield◆ Leads 10–0
- Leverage · closed loop · 1.4K×
- Υ Yield · leads 28× · 12.4K
- Cost · cost leader · $0.52/1M
- Velocity · fast · 8.7 o/i
- Efficacy · strong · 373.73
VS10–0
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.
Supavasinan PromdetchDataThe Field
Raw
1.4MInput29.8K
12.3MOutput44.0K
2019.9MCache-read8.9M
79.2MCache-write470.4K
2112.8MTotal9.5M
$0.52Cost$0.55
Metrics
12.4KΥ Yield442
89.7%SNR59.6%
1.4K×Leverage300×
8.68Velocity1.47
3.1610xDEV2.48
$0.52Cost per 1M$0.55
373.73Efficiency79.22
1430:1:8.7Op Ratio300:1:1.5
2112.8MTotal9.5M