Github Trends®
8663 findingsmedian surprise 0.00452window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #7775 · UNIT ID 1166412094
ZJU4HealthCare/Foundations-of-Medical-LLMs
Foundations of Medical Large Language Model Learning
[ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00855
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% 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
12.00
ACCEL
+0.50
RETENTION
0.0%
PEAK 2026-08-30 · FORK-RETENTION 0.0% · 36 STARS / WINDOW

Author Audience

AUDIENCE
1,363
FOLLOWERS
287
OWNER ★
3,950

Engagement Signals

FORKS
351
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 36 / 36 (DIVERSITY 1.00)

Why This Is A Finding

ZJU4HealthCare/Foundations-of-Medical-LLMs собрал 36 звёзд за окно, тогда как у автора всего 287 подписчиков — эффективная аудитория ≈ 1,363. Это даёт surprise-индекс 0.00855 (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 8663 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY12.005.67+6.33ABOVE 75%
RETENTION0.0%41.7%-41.7 PPABOVE 0%
FORKS351332+19ABOVE 51%
SURPRISE0.010.00+0.00ABOVE 61%