Github Trends®
9755 findingsmedian surprise 0.00933window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8592 · UNIT ID 1166412094
ZJU4HealthCare/Foundations-of-Medical-LLMs
Foundations of Medical Large Language Model Learning
[ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00733
ENGAGEMENT0.31
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% 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
10.29
ACCEL
+0.93
RETENTION
0.0%
PEAK 2026-08-30 · FORK-RETENTION 0.0% · 72 STARS / WINDOW

Author Audience

AUDIENCE
1,364
FOLLOWERS
287
OWNER ★
3,950

Engagement Signals

FORKS
351
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 72 / 72 (DIVERSITY 1.00)

Why This Is A Finding

ZJU4HealthCare/Foundations-of-Medical-LLMs собрал 72 звёзд за окно, тогда как у автора всего 287 подписчиков — эффективная аудитория ≈ 1,364. Это даёт surprise-индекс 0.00733 (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 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY10.293.71+6.57ABOVE 79%
RETENTION0.0%37.5%-37.5 PPABOVE 0%
FORKS35190+261ABOVE 80%
SURPRISE0.010.01-0.00ABOVE 44%