Github Trends®
237 findingsmedian surprise 0.00018window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #186 · UNIT ID 1241960226
alibaba/open-code-review
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

SURPRISE0.0000259
ENGAGEMENT2.32
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
⚠ POSSIBLE STAR INFLATION — ONLY 2% OF STARS VISIBLE IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.32
ACCEL
-0.23
RETENTION
2.3%
PEAK 2026-06-07 · FORK-RETENTION 65.7% · 479 STARS / WINDOW

Author Audience

AUDIENCE
205,229
FOLLOWERS
20,794
OWNER ★
818,278

Engagement Signals

FORKS
1,599
ISSUE AUTH
9
PR AUTH
7
UNIQUE STARGAZERS 478 / 479 (DIVERSITY 1.00)

Why This Is A Finding

alibaba/open-code-review собрал 479 звёзд за окно, тогда как у автора всего 20,794 подписчиков — эффективная аудитория ≈ 205,229. Это даёт surprise-индекс 0.0000259 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 65.7% и 16 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 237 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY5.322.50+2.82ABOVE 84%
RETENTION2.3%6.8%-4.6 PPABOVE 10%
FORKS1,5994,841-3,242ABOVE 16%
SURPRISE0.000.00-0.00ABOVE 16%