← Laconic
How Laconic scored a D.
Public-signal score, discounted for bought-star and bot-stargazer patterns — not a user rating. How scores are calculated.
01 / Breakdown
Derived from GitHub, not voted.
D
42/100
GitHub credibility score
- ✓ Contributors & bus-factor — 3 recent contributors — concentrated
- ✓ Commit recency — last commit 9d ago
- ✓ Commit cadence — 9 commits in 90 days
- ↓ Issue close ratio — 0% of issues closed
- ✓ Release cadence — 4 releases in 12 months
- ✓ Stars (log-damped) — 17 stars (log-damped)
- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — engagement check skipped — low star count
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 3 recent contributors — concentrated | 20% | +1 |
| Commit recency | last commit 9d ago | 20% | +20 |
| Commit cadence | 9 commits in 90 days | 15% | +7 |
| Issue close ratio | 0% of issues closed | 15% | +0 |
| Release cadence | 4 releases in 12 months | 15% | +9 |
| Stars (log-damped) | 17 stars (log-damped) | 15% | +4 |
| Quality subtotal (Q) | 100% | 41 | |
Authenticity multiplier (A)
× 1.00- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — engagement check skipped — low star count
Quality 41 × authenticity 1.00 = 42/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.