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Yield (Υ) vs total tokens burned — efficiency vs volume
| Feature | SigRank | Tokscale |
|---|---|---|
| What it measures | Token-cascade efficiency (Yield, Leverage, SNR, Velocity) | Total token volume burned across sessions |
| Headline metric | Yield (Υ) = (cache_read × output) / input² | Total tokens burned |
| What it tells you | How efficiently you use AI — are tokens compounding? | How much you spent — volume only |
| Leaderboard | Yes — ranked by Yield, class tiers, weekly drops | Yes — ranked by total volume |
| Class tiers | Yes — 8-tier experience ladder | No |
| Build archetypes | Yes — 10 build archetypes | No |
| API | Public REST API + MCP tools | Limited |
| Privacy | Token counts only — never prompt content | Token counts only |
Tokscale is the biggest AI usage leaderboard out there — 1,797 users and 40+ tools covered. If you want to see who burns the most tokens across the most platforms, it's the leaderboard to beat.
But raw token count doesn't tell you if you're good at using AI. An operator who burns 10M tokens to produce 1K output has a high token count — but low efficiency. An operator who uses 100K tokens to produce the same 1K output has a lower token count but 10x higher Yield. Volume rewards spend. Efficiency rewards skill.
SigRank's Yield (Υ) metric measures the architecture of your token cascade — is signal compounding through cache reuse and tight output, or are tokens burned in long input chains? Tokscale tells you how much you burned. SigRank tells you whether those tokens were well spent.
The key difference: Tokscale ranks by volume. SigRank ranks by efficiency. One measures how much. The other measures how well.
Tokscale is the biggest AI usage leaderboard — 1,797 users ranked by total tokens burned. SigRank ranks by Yield — token-cascade efficiency. Volume tells a developer how much; Yield tells them how well. An AI user with high burn but low output ranks high on Tokscale but low on SigRank.
No — both are leaderboards but rank by different metrics. Tokscale ranks by volume burned; SigRank ranks by efficiency. A coder who wants to see who burns the most uses Tokscale; one who wants to see who's best at using AI uses SigRank.
Yield (Υ) = (cache_read × output) / input² — token-cascade efficiency from real sessions. Works across Claude, GPT, Gemini, Cursor, Copilot, and any AI coding tool.
Visit signalaf.com/score to enroll and submit your token telemetry. SigRank will compute your Yield, your rank, and your operator class. Token counts only — never prompt content, never code.
Stop counting. Start measuring.
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