Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
◈ SigRank vs tokenmaxxing.sh

The Cleanest Board vs the Scored One

tokenmaxxing.sh does one thing well: a minimalist leaderboard of who spent and burned the most. SigRank asks the next question — did it compound?

The short version: tokenmaxxing.sh

tokenmaxxing.sh (by 851-labs) is the minimalist entry in the token-board category: install the CLI, sync your ccusage totals, appear on a public board ranked by spend or tokens across 7-day, 30-day, and all-time windows. No badges, no profiles, no extra machinery — just a clean table of who consumed the most. There is a real appeal in that simplicity.

SigRank reads the same telemetry and scores it. The headline metric, Υ = cache_read × output / input², separates the operator whose spend compounds from the one whose spend just accumulates. tokenmaxxing.sh is the honest counter; SigRank is the evaluation layer on top of it.

Not to be confused with tokenmaxxer, a different (gamified) product in the same category.

Feature comparison

Featuretokenmaxxing.shSigRank
What it ranksSpend ($) or tokens — pick your boardCascade yield (Υ = cache_read × output / input²)
PhilosophyMinimalist — one clean board, no extra machineryFramework — a defined metric stack around one score
Efficiency metrics (Υ, SNR, Leverage, Velocity)No — volume and spend onlyYes
Archetypes + class tiersNoYes
Operator profilesLeaderboard rowsFull profiles + head-to-head compare
Signed, verifiable submissionsServer-side ingested25519-signed snapshots
MCP server for AI-agent integrationNoYes
Data sourceccusage logs via @851-labs/tokenmaxxing CLIFour token pillars, 15+ platforms
Privacy-preserving (token counts only)YesYes

Where minimalism ends

A spend board answers "who consumed the most?" accurately and without pretension — which is more than most leaderboards can say. What it cannot tell you is whether the consumption was good. Two operators with identical spend can sit ten-fold apart in output-per-input. The counter cannot see the gap because the counter only counts.

SigRank's Υ Yield makes the gap visible: cache reuse and output amplify the score while fresh input penalizes it quadratically. The operator who compounds cached context outranks the one who re-sends it every turn — same spend, different skill. tokenmaxxing.sh gives you the ledger; SigRank tells you what the ledger means.

From spend to yield

If your usage is already syncing, SigRank reads the same telemetry and adds the scoring layer:

npm install -g sigrank
sigrank enroll      # create your operator identity
sigrank submit      # reads logs, scores, signs, publishes

Or skip the CLI and paste your token counts into the /score calculator — Υ Yield, class tier, and compression ratio instantly.

Frequently asked questions

Is tokenmaxxing.sh a SigRank alternative?
It is a different take on the same data. tokenmaxxing.sh is deliberately minimalist — a clean leaderboard that ranks spend or tokens and nothing else. That restraint is its appeal: it ranks exactly what it says it ranks, with no scoring machinery in between. SigRank asks the follow-up question: did the spend compound into signal? If you want the simplest possible 'who burned the most' board, tokenmaxxing.sh is a good one. If you want to know who is efficient, that is the layer SigRank adds.
What does 'tokenmaxxing' mean?
Tokenmaxxing is the practice of maximizing AI token usage — the trend that turned API spend into a competitive leaderboard category. tokenmaxxing.sh (by 851-labs) is one minimalist implementation: an npm CLI that syncs your ccusage totals to a public spend/tokens board. Note that it is a different product from tokenmaxxer, the gamified streaks-and-badges tracker — two similarly-named tools in the same category. SigRank sits beside both as the efficiency layer: the same telemetry, but scored for yield instead of ranked by volume.
Is ranking by spend the same as ranking by skill?
No — and tokenmaxxing.sh does not claim it is. A spend board is honest about what it measures: who consumed the most. The gap appears when two operators spend the same and get different results. One reuses cached context and produces high output per input; the other re-sends context every turn. On a spend board they tie. On SigRank's Υ-ranked board the difference is the whole point. Spend measures participation; yield measures how well the spend was driven.
Can I use tokenmaxxing.sh and SigRank together?
Yes — the same local ccusage data feeds both. Keep your tokenmaxxing.sh entry for the spend board, and run `sigrank submit` to add your signed efficiency score to the SigRank leaderboard. Minimalist on one side, measured on the other.

See what the spend became

Keep the minimalist board for the spend contest. Add the efficiency score that turns the same numbers into a ranking worth defending.

Related: SigRank vs tokenmaxxer · SigRank vs Tokscale · The Yield Metric