Github Trends®
9770 findingsmedian surprise 0.00956window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8522 · UNIT ID 1275268652
AIScientists-Dev/academic-humanizer
Strip AI-writing tells from papers and grant proposals (NSF/NIH), while keeping scholarly voice and tying claims to evidence. A skill for Claude Code, Codex, and MorphMind.
[ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0148
ENGAGEMENT0.31
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
12.71
ACCEL
+0.71
RETENTION
66.7%
PEAK 2026-09-23 · FORK-RETENTION 0.0% · 89 STARS / WINDOW

Author Audience

AUDIENCE
818
FOLLOWERS
74
OWNER ★
3,350

Engagement Signals

FORKS
145
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 89 / 89 (DIVERSITY 1.00)

Why This Is A Finding

AIScientists-Dev/academic-humanizer собрал 89 звёзд за окно, тогда как у автора всего 74 подписчиков — эффективная аудитория ≈ 818. Это даёт surprise-индекс 0.0148 (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 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 13%
VELOCITY12.713.57+9.14ABOVE 81%
RETENTION66.7%40.0%+26.7 PPABOVE 85%
FORKS14592+53ABOVE 61%
SURPRISE0.010.01+0.01ABOVE 61%