Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5053 · UNIT ID 660468797
IamAlch3mist/Awesome-Embedded-Systems-Vulnerability-Research
Resources to getting started vulnerability research on IoT/embedded devices.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0143
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
62% 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

Growth Telemetry

VELOCITY /D
3.46
ACCEL
-0.11
RETENTION
5.4%
PEAK 2026-04-30 · FORK-RETENTION 0.0% · 311 STARS / WINDOW

Author Audience

AUDIENCE
202
FOLLOWERS
145
OWNER ★
568

Engagement Signals

FORKS
55
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 311 / 311 (DIVERSITY 1.00)

Why This Is A Finding

IamAlch3mist/Awesome-Embedded-Systems-Vulnerability-Research собрал 311 звёзд за окно, тогда как у автора всего 145 подписчиков — эффективная аудитория ≈ 202. Это даёт surprise-индекс 0.0143 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 21%
VELOCITY3.463.99-0.54ABOVE 44%
RETENTION5.4%17.1%-11.7 PPABOVE 14%
FORKS5590-34ABOVE 35%
SURPRISE0.010.01+0.00ABOVE 54%