About Claracle
Claracle surfaces the strongest weekly signal from GitHub activity, then organizes that analysis into monthly and yearly views for long-term pattern spotting.
Use the homepage to jump straight into the latest summary, scan the archive, or move up to broader rollups when you want a bigger-picture view.
Claracle turns GitHub activity into readable weekly, monthly, and yearly trend reports for busy developers and technical leaders.
The project favors editorial signal over dashboard noise: what mattered this week, what is merely loud, and what is missing from the conversation. Read the methodology for how we choose sources, rank signals, and disclose known biases.
Pipeline transparency
Claracle uses an automated AI analysis pipeline to turn crawl data into editorial briefs. The cost report below publishes the estimated token spend behind that pipeline so readers can see the operational footprint alongside the analysis.
Pipeline transparency
AI pipeline cost
Reconciled token-usage cost for the automated analysis pipeline. Only the accepted workflow attempt for each stage is counted; retries and no-AI runs are excluded.
- Input tokens
- 76,633
- Output tokens
- 9,248
- Accepted runs
- 3
Reconciliation and exclusions
9 ledger records reconciled to 3 accepted attempts (3 billable). Excluded: 6 legacy rows without workflow identity, 0 superseded retries, 0 no-AI runs.
| Week | Stage | Model | Workflow run | Attempt |
|---|---|---|---|---|
| 2026-W34 | analysis | copilot-default | 32657778470 | 1 |
| 2026-W35 | analysis | copilot-default | 32680979082 | 1 |
| 2026-W36 | analysis | copilot-default | 33359840392 | 1 |