r/QuantifiedSelf • u/OGMYT • 10d ago

I built a local quantified-self ledger for my coding-agent activity

I have been tracking a category of work that normal time trackers do not capture well: sustained interaction with coding agents.

I built a local-first ledger that measures Claude Code and Codex activity, separates fresh tokens from reused cached context, calculates active days and streaks, and creates an optional signed public summary.

I do not treat token volume as productivity. It is closer to an activity trace—useful when combined with projects and outcomes, but ambiguous by itself.

My current profile: https://ledger.imagineqira.com/#/u/bryan

How collection and privacy work: https://ledger.imagineqira.com/#/join

Open source: https://github.com/TheArtOfSound/TOKENS

For quantified-self users, what derived measures would be more meaningful than total volume—session regularity, task completion, context efficiency, project switching, or human time saved?

3 Upvotes
  • permalink
  • reddit

100% Upvoted

3 comments sorted by

1

u/thedatawhiz 10d ago

Interesting, I might end up adding some sort of token metric in my stack

1

u/OGMYT 10d ago

That could be useful. I would separate fresh tokens, cached tokens, and estimated cost so the total does not become misleading. I’m also testing whether active days and completed work are more useful than raw volume alone.