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tokenchitv0.7.0 · MIT

@ashfaqjani916

✓ github verified

First activity 2026-02-06. synced 1h ago. Figures are self-reported by the tokenchit CLI from local agent logs.

tokens
1.24B
equiv. cost
$832
streak
1d
active days
70

The card for this profile reads 2.60B — the verified 1.24B above, plus what Claude Code’s own rollup counted after retention deleted the transcripts behind it. Only the verified figure is ranked.

Activity · last 12 months

1.24B tokens across 70 active dayslessmore

Agents

  • claude-code1.09B87.9%
  • codex151M12.1%

Models lifetime

Models used, with tokens and equivalent cost
modeltokensequiv. cost
claude-opus-51.07B$784.98
gpt-5.2-codex74.8M
gpt-5.3-codex39.4M
gpt-5.435.0M$18.48
claude-fable-518.8M$27.01
gpt-5.5882K$1.22
gpt-5.4-mini518K$0.09

The card

@ashfaqjani916TOKENS1.24BEQUIV. COST$832STREAK1dclaude-code 88%codex 12%TOKENCHIT.APPSYNCED 1H AGO
markdown
[![tokenchit — @ashfaqjani916 AI coding agent usage](https://tokenchit.app/api/card/ashfaqjani916.svg)](https://tokenchit.app/u/ashfaqjani916)

This renders live from the endpoint. To commit the file instead — no request to us at all — run tokenchit sync and add the SVG to your repo.

Equiv. cost is not what they paid. It is what these tokens would cost at list API rates; most agent usage runs under a subscription where no per-token charge happens. Models with no public price are counted in the token total and left out of the cost.

Who is burning the most?

Ranked by tokens, from developers who chose to publish. The two windows disagree on purpose — one rewards the last month, the other the whole history.

Last 30 days

All time

Top 8 of each. A means the GitHub identity was proved; everything else is self-reported.

See the full board →
@ashfaqjani916 · tokenchit