Counting Trees Is Not Measuring the Forest's Yield

The short version: token-forest

token-forest is a token tracking tool with a forest and growth metaphor. It visualizes your AI token usage as trees growing in a forest — a creative, engaging way to see your consumption over time. The metaphor is appealing: your tokens are trees, your usage is a forest. But counting trees measures how many tokens you consumed, not how efficiently they compounded into signal. A bigger forest is not a better harvest.

SigRank takes the same token telemetry and asks a different question: what is the forest's yield? The headline metric, Υ Yield = cache_read × output / input², rewards the operator who reuses cached context efficiently and penalizes the one who burns fresh input without leverage. token-forest counts the trees; SigRank measures the harvest. Both matter. Only one tells you if you are winning.

Feature comparison

Why counting trees isn't measuring yield

token-forest answers "how many tokens did I consume, visualized as forest growth?" That is a creative counting metric, not an efficiency metric. Two operators can grow forests of the same size and have wildly different yields. One reuses cached context efficiently and produces 30K output tokens; the other re-sends the same context every turn and produces 3K. Same forest, ten-fold difference in yield. token-forest sees the same tree count either way.

SigRank's headline metric, Υ = cache_read × output / input², measures exactly that gap. It rewards the operator who compounds cached context into output and penalizes the one who burns fresh input without leverage. token-forest gives you the tree count; SigRank tells you whether the cascade it describes is compounding or burning.

From tree count to yield

If you already run token-forest, you have the token counts. SigRank reads the same telemetry and adds the scoring layer growth metaphors never had:

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

Prefer to inspect before you submit? Run sigrank me --dry-run to see your scored payload locally, or paste your token counts into the /score calculator to compute your Υ Yield, class tier, and compression ratio instantly, no account, no submission, just the numbers.

Frequently asked questions

Is SigRank a token-forest alternative?

They serve different layers. token-forest is a token tracking tool with a forest/growth metaphor — it visualizes your AI token usage as trees growing in a forest. It is a creative, engaging way to see your token consumption over time. SigRank is a scoring layer: it takes the same token telemetry and computes cascade efficiency (Υ Yield), assigns a class tier, and ranks operators globally. token-forest counts the trees; SigRank measures the forest's yield. Counting trees is not measuring yield.

Why is counting trees not measuring the forest's yield?

Counting trees measures how many tokens you consumed — the size of your forest. Measuring yield measures how efficiently those tokens compounded into signal — the harvest per acre. Two operators can grow forests of the same size and have wildly different yields. One reuses cached context efficiently and produces 30K output tokens; the other re-sends the same context every turn and produces 3K. Same forest, ten-fold difference in yield. token-forest sees the same tree count either way.

What does token-forest not measure that SigRank does?

token-forest visualizes token usage as forest growth. SigRank derives the cascade architecture from the same four pillars: Υ Yield (is signal compounding or burning?), compression ratio (output per input), SNR (signal density), Leverage (how much cached context amplifies your input), and Velocity (tokens per unit time). token-forest tells you how big your forest is; SigRank tells you whether your cascade is compounding or burning. Tree count is volume; yield is efficiency.

Can I use both token-forest and SigRank?

Yes. token-forest is a tracking and visualization tool; SigRank is a scoring and ranking tool. Run token-forest for the forest metaphor and growth visualization. Run `sigrank submit` to get your Yield score, class tier, and leaderboard rank. They read from the same local session logs and do not conflict. Many operators use a tracker for day-to-day awareness and SigRank for efficiency scoring and leaderboard submission.

Does token-forest have a leaderboard?

No. token-forest is a personal token tracking tool — it shows you your own token usage visualized as forest growth. It does not rank operators against each other. SigRank is a public leaderboard: it ranks operators globally by cascade yield, with signed snapshots and verified identities. token-forest is for your own tracking; SigRank is for competition. The first is a garden journal; the second is a leaderboard.