Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4741 · UNIT ID 1192620050
MinaSaad1/pbi-cli
Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0186
ENGAGEMENT0.20
FRESHNESS1.39
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
53% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
2.44
ACCEL
-0.03
RETENTION
29.3%
PEAK 2026-04-30 · FORK-RETENTION 0.0% · 220 STARS / WINDOW

Author Audience

AUDIENCE
91
FOLLOWERS
49
OWNER ★
424

Engagement Signals

FORKS
108
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 220 / 220 (DIVERSITY 1.00)

Why This Is A Finding

MinaSaad1/pbi-cli собрал 220 звёзд за окно, тогда как у автора всего 49 подписчиков — эффективная аудитория ≈ 91. Это даёт surprise-индекс 0.0186 (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 26%
VELOCITY2.443.99-1.55ABOVE 28%
RETENTION29.3%17.1%+12.2 PPABOVE 75%
FORKS10890+19ABOVE 55%
SURPRISE0.020.01+0.01ABOVE 62%