Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #839 · UNIT ID 1332643174
lingcang728/ZeppBridge
Keep your Zepp / Amazfit health records on your own computer. Explore every trend, hand them to the AI you already use, and send training plans back to your watch. Local-first, free and open source, for Windows, macOS and Linux.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0353
ENGAGEMENT0.48
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
8% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.43
ACCEL
+0.32
RETENTION
0.0%
PEAK 2026-10-15 · FORK-RETENTION 0.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE
29
FOLLOWERS
7
OWNER ★
218

Engagement Signals

FORKS
32
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

lingcang728/ZeppBridge собрал 17 звёзд за окно, тогда как у автора всего 7 подписчиков — эффективная аудитория ≈ 29. Это даёт surprise-индекс 0.0353 (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 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 91%
VELOCITY2.433.14-0.71ABOVE 36%
RETENTION0.0%16.7%-16.7 PPABOVE 0%
FORKS32277-245ABOVE 16%
SURPRISE0.040.00+0.03ABOVE 88%