Github Trends®
9689 findingsmedian surprise 0.00537window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #3088 · UNIT ID 1264396304
tigerless-labs/autoharness
Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0128
ENGAGEMENT0.23
FRESHNESS1.20
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
45% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
158.17
ACCEL
-17.37
RETENTION
1.0%
PEAK 2026-10-09 · FORK-RETENTION 18.4% · 4,745 STARS / WINDOW

Author Audience

AUDIENCE
12,309
FOLLOWERS
1,958
OWNER ★
23,733

Engagement Signals

FORKS
645
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 4,745 / 4,745 (DIVERSITY 1.00)

Why This Is A Finding

tigerless-labs/autoharness собрал 4,745 звёзд за окно, тогда как у автора всего 1,958 подписчиков — эффективная аудитория ≈ 12,309. Это даёт surprise-индекс 0.0128 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 18.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9689 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 68%
VELOCITY158.173.70+154.47ABOVE 99%
RETENTION1.0%18.5%-17.4 PPABOVE 8%
FORKS645196+449ABOVE 76%
SURPRISE0.010.01+0.01ABOVE 67%