FINDING #1443 · 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
19.33
ACCEL
+4.00
RETENTION
0.0%
PEAK 2026-07-27 · FORK-RETENTION 0.0% · 58 STARS / WINDOW
Author Audience
AUDIENCE
4,142
FOLLOWERS
256
OWNER ★
18,188
Engagement Signals
FORKS
1,884
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 58 / 58 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 58 звёзд за окно, тогда как у автора всего 256 подписчиков — эффективная аудитория ≈ 4,142. Это даёт surprise-индекс 0.00462 (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 68% OF 4503 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 4503 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 68%
VELOCITY19.335.33+14.00ABOVE 87%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS1,884457+1,427ABOVE 75%
SURPRISE0.000.00+0.00ABOVE 56%