FINDING #5449 · UNIT ID 1163081173
hanlulong/awesome-ai-for-economists
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
54% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
Growth Telemetry
VELOCITY /D
2.44
ACCEL
-0.02
RETENTION
9.1%
PEAK 2026-06-20 · FORK-RETENTION 0.0% · 220 STARS / WINDOW
Author Audience
AUDIENCE
301
FOLLOWERS
157
OWNER ★
1,438
Engagement Signals
FORKS
85
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 220 / 220 (DIVERSITY 1.00)
Why This Is A Finding
hanlulong/awesome-ai-for-economists собрал 220 звёзд за окно, тогда как у автора всего 157 подписчиков — эффективная аудитория ≈ 301. Это даёт surprise-индекс 0.00717 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 15% OF 6380 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY2.443.99-1.55ABOVE 28%
RETENTION9.1%17.1%-8.1 PPABOVE 27%
FORKS8590-4ABOVE 48%
SURPRISE0.010.01-0.01ABOVE 38%