Github Trends®
9733 findingsmedian surprise 0.00854window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7552 · UNIT ID 1120776610
Sharp-ML/SHARP-ML
[ TYPESCRIPT ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0765
ENGAGEMENT0.24
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
25% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
5.57
ACCEL
+3.00
RETENTION
18.2%
PEAK 2026-08-05 · FORK-RETENTION 0.0% · 39 STARS / WINDOW

Author Audience

AUDIENCE
33
FOLLOWERS
1
OWNER ★
154

Engagement Signals

FORKS
21
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 39 / 39 (DIVERSITY 1.00)

Why This Is A Finding

Sharp-ML/SHARP-ML собрал 39 звёзд за окно, тогда как у автора всего 1 подписчиков — эффективная аудитория ≈ 33. Это даёт surprise-индекс 0.0765 (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 9733 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY5.573.57+2.00ABOVE 64%
RETENTION18.2%37.5%-19.3 PPABOVE 23%
FORKS2198-77ABOVE 18%
SURPRISE0.080.01+0.07ABOVE 93%