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Yield (Υ) vs streaks and active days — skill vs consistency
| Feature | SigRank | clawdboard |
|---|---|---|
| What it measures | Token-cascade efficiency (Yield, Leverage, SNR, Velocity) | Cost, tokens, and streak gamification |
| Headline metric | Yield (Υ) = (cache_read × output) / input² | Streaks and active days |
| 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 cost + tokens + streaks |
| Class tiers | Yes — 8-tier experience ladder | No |
| Build archetypes | Yes — 10 build archetypes | No |
| API | Public REST API + MCP tools | None |
| Privacy | Token counts only — never prompt content | Token counts only |
clawdboard has a clean UI and great streak gamification. If you want to build a daily habit of using Claude, the streak counter is genuinely motivating. Showing up every day matters.
But streaks don't tell you if you're good at using AI. An operator who logs in every day and burns 10M tokens to produce 1K output has a long streak — but low efficiency. An operator who uses 100K tokens to produce the same 1K output has a shorter streak but 10x higher Yield. Consistency rewards showing up. 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? clawdboard tells you how consistent you were. SigRank tells you how good those sessions actually were.
The key difference: clawdboard ranks by streaks and volume. SigRank ranks by efficiency. One measures consistency. The other measures skill.
clawdboard ranks by streaks and active days — how consistently you show up. SigRank ranks by Yield — how efficiently an AI operator uses tokens. Consistency rewards showing up every day; efficiency rewards skill. A person using AI daily can still have low Yield.
No — they measure different things. clawdboard gamifies daily habits with streaks; SigRank measures token-cascade efficiency and ranks AI users by skill. A coder could use clawdboard to build a habit and SigRank to measure how good those sessions actually were.
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 streaks. Start measuring skill.
Check my Yield