Github Trends®
1508 findingsmedian surprise 0.00901window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
РЕПО НЕТ В ОКНЕ 90D. ПОКАЗАН FINDING ИЗ ОКНА 1D (1 day) — РАНГ #283.
FINDING #283 · 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

SURPRISE0.0237
ENGAGEMENT0.35
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
42.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-27 · FORK-RETENTION 0.0% · 42 STARS / WINDOW

Author Audience

AUDIENCE
1,733
FOLLOWERS
593
OWNER ★
11,396

Engagement Signals

FORKS
1,666
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 42 / 42 (DIVERSITY 1.00)

Why This Is A Finding

Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies собрал 42 звёзд за окно, тогда как у автора всего 593 подписчиков — эффективная аудитория ≈ 1,733. Это даёт surprise-индекс 0.0237 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1508 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 81%
VELOCITY42.009.00+33.00ABOVE 90%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS1,666317+1,350ABOVE 80%
SURPRISE0.020.01+0.01ABOVE 69%