🤖⚔️🤖 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
Bhaskar ThotaSEEKER III · #861.6KΥ Yield◆ Leads 10–0
- Leverage · closed loop · 502×
- Υ Yield · leads 3.6× · 1.6K
- Cost · cost leader · $0.45/1M
- Velocity · fast · 3.1 o/i
- Efficacy · strong · 128.49
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.
Bhaskar ThotaDataThe Field
Raw
5.9MInput29.8K
18.4MOutput44.0K
2953.8MCache-read8.9M
52.3MCache-write470.4K
3030.4MTotal9.5M
$0.45Cost$0.55
Metrics
1.6KΥ Yield442
75.8%SNR59.6%
502×Leverage300×
3.13Velocity1.47
2.7010xDEV2.48
$0.45Cost per 1M$0.55
128.49Efficiency79.22
502:1:3.1Op Ratio300:1:1.5
3030.4MTotal9.5M