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Yield (Υ) vs token tracking — skill vs monitoring
| Feature | SigRank | Token Tracker |
|---|---|---|
| What it measures | Token-cascade efficiency (Yield, Leverage, SNR, Velocity) | Token volume across 29 tools (desktop widgets) |
| Headline metric | Yield (Υ) = (cache_read × output) / input² | Total tokens tracked |
| 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 |
Token Tracker covers 29 tools and ships desktop widgets for at-a-glance monitoring. If you want a always-on view of how many tokens you're burning across every tool, the widget UX is polished and convenient.
But tracking volume 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. Tracking rewards monitoring. 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? Token Tracker tells you how much you burned. SigRank tells you whether those tokens were well spent.
The key difference: Token Tracker tracks volume. SigRank measures efficiency. One monitors. The other measures.
Token Tracker monitors token volume across 29 tools with desktop widgets. SigRank measures token-cascade efficiency with Yield. Tracking tells a developer how much they burned; Yield tells them how well. One monitors volume; the other measures skill.
No — they serve different needs. Token Tracker gives an always-on view of token volume across many tools. SigRank ranks AI operators by efficiency. A person using AI can track volume with Token Tracker and measure skill with 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 tracking. Start measuring.
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