Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4142 · UNIT ID 1241960226
alibaba/open-code-review
Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000212
ENGAGEMENT0.37
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
45.00
ACCEL
-67.50
RETENTION
0.0%
PEAK 2026-10-15 · FORK-RETENTION 0.0% · 135 STARS / WINDOW

Author Audience

AUDIENCE
212,182
FOLLOWERS
21,455
OWNER ★
846,362

Engagement Signals

FORKS
3,471
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 135 / 135 (DIVERSITY 1.00)

Why This Is A Finding

alibaba/open-code-review собрал 135 звёзд за окно, тогда как у автора всего 21,455 подписчиков — эффективная аудитория ≈ 212,182. Это даёт surprise-индекс 0.000212 (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 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY45.005.33+39.67ABOVE 93%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS3,471346+3,125ABOVE 87%
SURPRISE0.000.00-0.00ABOVE 9%