Github Trends®
9747 findingsmedian surprise 0.00854window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8242 · UNIT ID 1383023635
amitshekhariitbhu/ai-engineering-course
AI Engineering Course - A free and complete AI Engineering Course to learn AI Engineering step by step - from Machine Learning, Neural Networks, and Transformers to LLMs, Fine-Tuning, RAG, AI Agents, LLM Inference, Evaluation, AI Safety, and AI System Design.
[ MARKDOWN ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00021
ENGAGEMENT0.47
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.43
ACCEL
-0.50
RETENTION
12.5%
PEAK 2026-10-11 · FORK-RETENTION 0.0% · 24 STARS / WINDOW

Author Audience

AUDIENCE
16,296
FOLLOWERS
8,881
OWNER ★
74,154

Engagement Signals

FORKS
101
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 24 / 24 (DIVERSITY 1.00)

Why This Is A Finding

amitshekhariitbhu/ai-engineering-course собрал 24 звёзд за окно, тогда как у автора всего 8,881 подписчиков — эффективная аудитория ≈ 16,296. Это даёт surprise-индекс 0.00021 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9747 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY3.433.57-0.14ABOVE 48%
RETENTION12.5%33.3%-20.8 PPABOVE 25%
FORKS101104-3ABOVE 49%
SURPRISE0.000.01-0.01ABOVE 7%