Github Trends®
563 findingsmedian surprise 0.00051window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #115 · 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

SURPRISE0.00129
ENGAGEMENT1.21
FRESHNESS1.71
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
15% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
7.11
ACCEL
+0.42
RETENTION
37.6%
PEAK 2026-09-05 · FORK-RETENTION 61.5% · 640 STARS / WINDOW

Author Audience

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

Engagement Signals

FORKS
283
ISSUE AUTH
8
PR AUTH
14
UNIQUE STARGAZERS 640 / 640 (DIVERSITY 1.00)

Why This Is A Finding

tigerless-labs/autoharness собрал 640 звёзд за окно, тогда как у автора всего 1,524 подписчиков — эффективная аудитория ≈ 5,486. Это даёт surprise-индекс 0.00129 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 61.5% и 22 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 563 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 80%
VELOCITY7.112.77+4.34ABOVE 88%
RETENTION37.6%22.5%+15.1 PPABOVE 82%
FORKS2831,997-1,714ABOVE 24%
SURPRISE0.000.00+0.00ABOVE 65%