FINDING #6577 · UNIT ID 55072677
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
5.00
ACCEL
0.00
RETENTION
100.0%
PEAK 2026-08-09 · FORK-RETENTION 0.0% · 15 STARS / WINDOW
Author Audience
AUDIENCE
8,227
FOLLOWERS
1,062
OWNER ★
30,514
Engagement Signals
FORKS
1,362
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 15 / 15 (DIVERSITY 1.00)
Why This Is A Finding
weaviate/weaviate собрал 15 звёзд за окно, тогда как у автора всего 1,062 подписчиков — эффективная аудитория ≈ 8,227. Это даёт surprise-индекс 0.000605 (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.
Related Findings
RANKS ABOVE 28% OF 9133 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9133 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 28%
VELOCITY5.005.67-0.67ABOVE 43%
RETENTION100.0%37.5%+62.5 PPABOVE 95%
FORKS1,362327+1,035ABOVE 76%
SURPRISE0.000.00-0.00ABOVE 18%