HALL OF SIGNAL
Υ Yield
ΥSNR
SNRLeverage
LEVVelocity
VEL10xDEV
10xDEVScale V
SCALECost per 1M
$/1MEfficiency
EFFOp Ratio
OPBest Operating Ratio
OP-BBest Cache Op Ratio
OP-CBest Output Op Ratio
OP-OThe Hall of Signal is the permanent record of peak operator performance across the SigRank leaderboard. Where the leaderboard shows the current field, the Hall preserves the all-time best — the operators who achieved the highest yield, the cleanest cascades, and the most efficient token architecture on record. Entries are immutable once recorded.
The Hall updates as new snapshots are submitted. An operator who achieves a higher yield in a future session takes the record — the previous mark stands as a benchmark to beat. Class tiers (Burner, Builder, 10×er) are determined by yield thresholds, not raw output, so the Hall rewards efficiency architecture over brute-force token production.
Open the Badge Index →FAQ
What is the AI Operator Hall of Fame?
The AI Operator Hall of Fame is the permanent record of peak signal across the SigRank leaderboard. It showcases the top AI operators by all-time Yield (Υ) across 18 metric boards — the record book for the best AI users measured by token cascade efficiency.
Who qualifies for the AI Operator Hall of Fame?
The AI Operator Hall of Fame shows claimed operators with real verified submissions. Operators who have enrolled, submitted signed token telemetry snapshots, and have active status appear in the Hall. Seed and scraped data are excluded from the Active scope — only real users are in the record book.
How many metric boards are in the AI Operator Hall of Fame?
The AI Operator Hall of Fame has 18 metric boards covering Yield, Leverage, Velocity, SNR, 10xDEV, Efficiency, Scale V, Cost per 1M tokens, Op Ratio, and more. Each board shows the top operators across 7-day, 30-day, 90-day, and all-time windows.
On the horizon
Future wings of the Hall — no pipeline built yet. They light up as the data lands.
a separate page — no eras to capture yet
/eras →seasonal record holders
awaiting session data