Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
🤖⚔️🤖 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
vs
Operator B
Karl Woojung KimSEEKER I · #539.2KΥ Yield◆ Leads 91
  • Leverage · closed loop · 1.4K×
  • Υ Yield · leads 21× · 9.2K
  • Cost · cost leader · $0.61/1M
  • Velocity · fast · 6.7 o/i
  • Efficacy · strong · 371.67
VS91
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Karl Woojung KimThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Karl Woojung KimThe Field↑ 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.
Karl Woojung KimDataThe Field
Raw
4.6MInput29.8K
30.9MOutput44.0K
6360.7MCache-read8.9M
482.0MCache-write470.4K
6878.1MTotal9.5M
$0.61Cost$0.55
Metrics
9.2KΥ Yield442
87.0%SNR59.6%
1.4K×Leverage300×
6.67Velocity1.47
3.1410xDEV2.48
$0.61Cost per 1M$0.55
371.67Efficiency79.22
1376:1:6.7Op Ratio300:1:1.5
6878.1MTotal9.5M
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