FINDING #4304 · 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)
4% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
23.00
ACCEL
-1.18
RETENTION
6.7%
PEAK 2026-08-06 · FORK-RETENTION 44.9% · 690 STARS / WINDOW
Author Audience
AUDIENCE
4,294
FOLLOWERS
255
OWNER ★
18,921
Engagement Signals
FORKS
1,974
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 690 / 690 (DIVERSITY 1.00)
Why This Is A Finding
Canner/WrenAI собрал 690 звёзд за окно, тогда как у автора всего 255 подписчиков — эффективная аудитория ≈ 4,294. Это даёт surprise-индекс 0.00531 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 44.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 55% OF 9591 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 55%
VELOCITY23.003.63+19.37ABOVE 91%
RETENTION6.7%24.8%-18.1 PPABOVE 15%
FORKS1,974120+1,854ABOVE 95%
SURPRISE0.010.01-0.00ABOVE 40%