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
Joe CotelleseSEEKER II · #2478.0KΥ Yield◆ Leads 100
  • Leverage · closed loop · 3.5K×
  • Υ Yield · leads 176× · 78.0K
  • Cost · cost leader · $0.53/1M
  • Velocity · fast · 22.3 o/i
  • Efficacy · strong · 917.65
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Joe CotelleseThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Joe CotelleseThe 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.
Joe CotelleseDataThe Field
Raw
1.5MInput29.8K
32.8MOutput44.0K
5157.7MCache-read8.9M
212.9MCache-write470.4K
5404.8MTotal9.5M
$0.53Cost$0.55
Metrics
78.0KΥ Yield442
95.7%SNR59.6%
3.5K×Leverage300×
22.3Velocity1.47
3.5410xDEV2.48
$0.53Cost per 1M$0.55
917.65Efficiency79.22
3504:1:22.3Op Ratio300:1:1.5
5404.8MTotal9.5M
⚔ Throw-DownsComing soonChallenge on X