FINDING #1112 · UNIT ID 802545117
Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
3.18
ACCEL
-0.06
RETENTION
4.5%
PEAK 2026-01-31 · FORK-RETENTION 76.9% · 572 STARS / WINDOW
Author Audience
AUDIENCE
1,718
FOLLOWERS
589
OWNER ★
11,287
Engagement Signals
FORKS
1,652
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 572 / 572 (DIVERSITY 1.00)
Why This Is A Finding
Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies собрал 572 звёзд за окно, тогда как у автора всего 589 подписчиков — эффективная аудитория ≈ 1,718. Это даёт surprise-индекс 0.00181 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 63% OF 2987 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 63%
VELOCITY3.182.84+0.33ABOVE 56%
RETENTION4.5%6.8%-2.3 PPABOVE 35%
FORKS1,6521,068+584ABOVE 61%
SURPRISE0.000.00+0.00ABOVE 65%