Hey — gc-tree is branch-aware global context for AI coding tools. You're literally building context management. I built SigRank (signalaf.com), the first leaderboard that ranks the operator, not the model — token cascade efficiency: Yield = (cache_read * output) / input^2.
The formula squares input so re-pasting context costs quadratically; cache reuse compounds. If your tree is doing its job, your yield should reflect it.
If you've got 60 seconds: npx sigrank in your terminal — reads your local logs, shows your full cascade + projected rank. Genuinely curious whether gc-tree moves the efficiency needle. Happy to close this issue regardless.
Full breakdown of what the numbers mean: https://signalaf.com/blog/volume-isnt-yield
Hey — gc-tree is branch-aware global context for AI coding tools. You're literally building context management. I built SigRank (signalaf.com), the first leaderboard that ranks the operator, not the model — token cascade efficiency: Yield = (cache_read * output) / input^2.
The formula squares input so re-pasting context costs quadratically; cache reuse compounds. If your tree is doing its job, your yield should reflect it.
If you've got 60 seconds:
npx sigrankin your terminal — reads your local logs, shows your full cascade + projected rank. Genuinely curious whether gc-tree moves the efficiency needle. Happy to close this issue regardless.Full breakdown of what the numbers mean: https://signalaf.com/blog/volume-isnt-yield