FINDING #4528 · 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
8.00
ACCEL
+5.00
RETENTION
0.0%
PEAK 2026-10-12 · FORK-RETENTION 0.0% · 24 STARS / WINDOW
Author Audience
AUDIENCE
4,388
FOLLOWERS
258
OWNER ★
19,361
Engagement Signals
FORKS
2,047
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 24 / 24 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 24 звёзд за окно, тогда как у автора всего 258 подписчиков — эффективная аудитория ≈ 4,388. Это даёт surprise-индекс 0.00181 (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 44% OF 8038 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8038 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 44%
VELOCITY8.005.67+2.33ABOVE 61%
RETENTION0.0%14.3%-14.3 PPABOVE 0%
FORKS2,047333+1,715ABOVE 82%
SURPRISE0.000.01-0.00ABOVE 32%