◈ FAQ
Frequently Asked Questions
Answers to the most common questions about AI operator performance — who is the best, how to measure up, and what makes a top AI user.
Questions & answers
- Who is the best AI user?
- SigRank crowns operators by Υ Yield and cascade efficiency, not volume. The top operator on the /board/all leaderboard is the current best by token cascade efficiency.
- How do I measure up to other AI users?
- Install sigrank (npm i -g sigrank), run `sigrank me` or paste your ccusage JSON at /score, then compare your Υ Yield, class tier, and rank against other operators on the leaderboard.
- Is there an AI user leaderboard?
- Yes — SigRank is the AI Operator Leaderboard. It ranks operators by token cascade efficiency (Υ = cache_read × output / input²), not raw token volume. See /board/all.
- Am I an AI power user?
- SigRank classifies operators into tiers (Burner, Builder, 10xer) based on yield and leverage. A 10xer is the AI power user archetype: high cache reuse, high output per input, disciplined token architecture. Check your class at /score.
- What is token cascade efficiency?
- Token cascade efficiency measures how well an AI operator converts fresh input tokens into useful output, amplified by cached context reuse. The formula is Υ = (cache_read × output) / input². High yield means signal is compounding; low yield means tokens are burned.
- How can I use AI more efficiently?
- Increase cache reuse (reuse prompts, templates, workflows), reduce fresh input (don't start from scratch each time), and maximize output per session. SigRank's self_improve tool diagnoses your cascade and suggests specific improvements.
- What makes someone a top AI operator?
- Top operators build workflows where one unit of new input sits atop a large cached base and yields more than one unit of output. This reflects disciplined, system-level reuse, not brute-force prompting. See the class tiers on /board/all.
Explore further
- /board/all — the live AI operator leaderboard.
- /score — paste your token stats and get your Υ Yield + class tier.
- /methodology — the full methodology behind the SigRank Index.