FINDING #4353 · 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
10.67
ACCEL
+1.50
RETENTION
66.7%
PEAK 2026-09-11 · FORK-RETENTION 0.0% · 32 STARS / WINDOW
Author Audience
AUDIENCE
4,330
FOLLOWERS
256
OWNER ★
19,096
Engagement Signals
FORKS
2,001
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 32 / 32 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 32 звёзд за окно, тогда как у автора всего 256 подписчиков — эффективная аудитория ≈ 4,330. Это даёт surprise-индекс 0.00244 (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 8833 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 51%
VELOCITY10.675.67+5.00ABOVE 72%
RETENTION66.7%45.9%+20.8 PPABOVE 73%
FORKS2,001344+1,657ABOVE 82%
SURPRISE0.000.00-0.00ABOVE 39%