Github Trends®
777 findingsmedian surprise 0.00043window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #336 · 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

SURPRISE0.000421
ENGAGEMENT0.59
FRESHNESS1.47
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
9% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.19
ACCEL
+0.09
RETENTION
8.2%
PEAK 2026-09-05 · FORK-RETENTION 70.6% · 935 STARS / WINDOW

Author Audience

AUDIENCE
12,309
FOLLOWERS
1,958
OWNER ★
23,664

Engagement Signals

FORKS
643
ISSUE AUTH
8
PR AUTH
16
UNIQUE STARGAZERS 935 / 935 (DIVERSITY 1.00)

Why This Is A Finding

tigerless-labs/autoharness собрал 935 звёзд за окно, тогда как у автора всего 1,958 подписчиков — эффективная аудитория ≈ 12,309. Это даёт surprise-индекс 0.000421 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 70.6% и 24 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 777 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 57%
VELOCITY5.192.61+2.58ABOVE 80%
RETENTION8.2%5.3%+2.9 PPABOVE 73%
FORKS6432,783-2,140ABOVE 15%
SURPRISE0.000.00-0.00ABOVE 50%