About SquadScope
SquadScope 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.
SquadScope 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
SquadScope 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
Estimated token-usage cost for the automated analysis pipeline. The numbers are here for accountability, not performance theater.
- Weeks tracked
- 3
- Input tokens
- 243,000
- Output tokens
- 10,700
Costs are rising: $0.32 in 2026-W19 to $0.35 in 2026-W21 (9.4% change).
| Week / stage | Cost | Input tokens | Output tokens | Model |
|---|---|---|---|---|
| 2026-W19 · analysis | $0.32 | 82,000 | 3,500 | claude-sonnet-4 |
| 2026-W20 · analysis | $0.28 | 75,000 | 3,200 | claude-sonnet-4 |
| 2026-W21 · analysis | $0.35 | 86,000 | 4,000 | claude-sonnet-4 |
Model breakdown
| Model | Weeks used | Estimated cost | Share |
|---|---|---|---|
| claude-sonnet-4 | 3 | $0.95 | 100% |