Github Trends®
8833 findingsmedian surprise 0.00433window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #633 · 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

SURPRISE0.0657
ENGAGEMENT0.28
FRESHNESS1.04
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
26% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
363.33
ACCEL
+62.00
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 1,090 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 1,090 / 1,090 (DIVERSITY 1.00)

Why This Is A Finding

tigerless-labs/autoharness собрал 1,090 звёзд за окно, тогда как у автора всего 1,524 подписчиков — эффективная аудитория ≈ 5,486. Это даёт surprise-индекс 0.0657 (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 8833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.030.00+0.03ABOVE 93%
VELOCITY363.335.67+357.67ABOVE 100%
RETENTION0.0%45.9%-45.9 PPABOVE 0%
FORKS283344-61ABOVE 46%
SURPRISE0.070.00+0.06ABOVE 90%