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Last updated: August 14, 2026
The 60-second explainer on public operator evaluation. The full methodology lives on signalaf.com.
Υ Yield measures how efficiently you use AI tokens. It's your cache reads multiplied by your outputs, divided by your inputs squared.
Υ = (cache_read × output) / input²In plain English: how efficiently do you reuse cached context and produce output relative to what you send to the model. Higher is better.
Volume is noise. Yield is signal.
Anyone can spend tokens. The question is whether you're using them efficiently. A power user with 10K tokens and high cache reuse can beat someone with 10M tokens and no cache strategy. Υ Yield rewards skill, not spend.
Tokens served from cache — free, instant, smart.
Tokens the model produced for you — your results.
Tokens you sent to the model — your cost.
Tokens written to cache for future reuse — investment.
The cascade string (e.g., 1.5×10.2×24.5) shows the ratio between these pillars. A high cache-read ratio is the hallmark of a power user.
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Check my rankWant the full methodology? Read the docs on signalaf.com