FINDING #4671 · UNIT ID 771350543
Canner/WrenAI
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
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
9.00
ACCEL
+1.00
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 27 STARS / WINDOW
Author Audience
AUDIENCE
4,293
FOLLOWERS
255
OWNER ★
18,921
Engagement Signals
FORKS
1,974
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 27 / 27 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 27 звёзд за окно, тогда как у автора всего 255 подписчиков — эффективная аудитория ≈ 4,293. Это даёт surprise-индекс 0.00208 (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 51% OF 9558 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 51%
VELOCITY9.005.67+3.33ABOVE 67%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS1,974333+1,641ABOVE 82%
SURPRISE0.000.00-0.00ABOVE 38%