Github Trends®
9775 findingsmedian surprise 0.00802window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #6802 · UNIT ID 1389512019
Sixian-Li/plain-backtest
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.16
ENGAGEMENT0.42
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
61% 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
16.71
ACCEL
+1.96
RETENTION
59.7%
PEAK 2026-10-05 · FORK-RETENTION 43.8% · 117 STARS / WINDOW

Author Audience

AUDIENCE
67
FOLLOWERS
37
OWNER ★
300

Engagement Signals

FORKS
26
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 117 / 117 (DIVERSITY 1.00)

Why This Is A Finding

Sixian-Li/plain-backtest собрал 117 звёзд за окно, тогда как у автора всего 37 подписчиков — эффективная аудитория ≈ 67. Это даёт surprise-индекс 0.16 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 43.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9775 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 30%
VELOCITY16.713.57+13.14ABOVE 86%
RETENTION59.7%40.0%+19.7 PPABOVE 75%
FORKS26108-82ABOVE 21%
SURPRISE0.160.01+0.15ABOVE 97%