Github Trends®
9789 findingsmedian surprise 0.00728window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1235 · 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

SURPRISE0.0338
ENGAGEMENT0.28
FRESHNESS1.03
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
31% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
186.71
ACCEL
+66.79
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 1,307 STARS / WINDOW

Author Audience

AUDIENCE
5,486
FOLLOWERS
1,524
OWNER ★
8,519

Engagement Signals

FORKS
283
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,307 / 1,307 (DIVERSITY 1.00)

Why This Is A Finding

tigerless-labs/autoharness собрал 1,307 звёзд за окно, тогда как у автора всего 1,524 подписчиков — эффективная аудитория ≈ 5,486. Это даёт surprise-индекс 0.0338 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 87%
VELOCITY186.713.43+183.29ABOVE 99%
RETENTION0.0%37.5%-37.5 PPABOVE 0%
FORKS283120+163ABOVE 70%
SURPRISE0.030.01+0.03ABOVE 84%