FINDING #1263 · 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)
2% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
2.21
ACCEL
-0.04
RETENTION
2.6%
PEAK 2026-02-05 · FORK-RETENTION 69.5% · 397 STARS / WINDOW
Author Audience
AUDIENCE
4,150
FOLLOWERS
256
OWNER ★
18,188
Engagement Signals
FORKS
1,884
ISSUE AUTH
9
PR AUTH
62
UNIQUE STARGAZERS 397 / 397 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 397 звёзд за окно, тогда как у автора всего 256 подписчиков — эффективная аудитория ≈ 4,150. Это даёт surprise-индекс 0.000526 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 69.5% и 71 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 51% OF 2559 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 2559 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 51%
VELOCITY2.212.88-0.68ABOVE 34%
RETENTION2.6%6.3%-3.6 PPABOVE 20%
FORKS1,8841,183+701ABOVE 62%
SURPRISE0.000.00-0.00ABOVE 43%