FINDING #6366 · UNIT ID 1185486225
evelyyyyynnnnn/3.0-Financial-Ai-Systems
Machine learning and optimization models designed to enhance financial system stability through portfolio optimization, risk forecasting, and network-based financial risk analysis.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · S10
Growth Telemetry
VELOCITY /D
2.29
ACCEL
-0.04
RETENTION
40.0%
PEAK 2026-07-11 · FORK-RETENTION 0.0% · 16 STARS / WINDOW
Author Audience
AUDIENCE
429
FOLLOWERS
248
OWNER ★
1,829
Engagement Signals
FORKS
48
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)
Why This Is A Finding
evelyyyyynnnnn/3.0-Financial-Ai-Systems собрал 16 звёзд за окно, тогда как у автора всего 248 подписчиков — эффективная аудитория ≈ 429. Это даёт surprise-индекс 0.00487 (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 8% OF 6892 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 8%
VELOCITY2.294.14-1.86ABOVE 26%
RETENTION40.0%40.6%-0.6 PPABOVE 47%
FORKS4889-41ABOVE 34%
SURPRISE0.000.01-0.01ABOVE 32%