Github Trends®
9066 findingsmedian surprise 0.00976window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: starredAt history
FINDING #7561 · UNIT ID 1205958059
shannhk/llm-wikid
Karpathy-style LLM knowledge base for Obsidian. Clone, run Claude Code, start building your second brain.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00901
ENGAGEMENT0.20
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
52% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
1.80
ACCEL
-0.06
RETENTION
3.1%
PEAK 2026-04-24 · FORK-RETENTION 0.0% · 162 STARS / WINDOW

Author Audience

AUDIENCE
160
FOLLOWERS
45
OWNER ★
1,147

Engagement Signals

FORKS
32
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 162 / 162 (DIVERSITY 1.00)

Why This Is A Finding

shannhk/llm-wikid собрал 162 звёзд за окно, тогда как у автора всего 45 подписчиков — эффективная аудитория ≈ 160. Это даёт surprise-индекс 0.00901 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9066 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY1.803.60-1.80ABOVE 12%
RETENTION3.1%15.9%-12.8 PPABOVE 7%
FORKS3298-66ABOVE 20%
SURPRISE0.010.01-0.00ABOVE 48%