Github Trends®
9679 findingsmedian surprise 0.00864window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8854 · UNIT ID 1032753726
aws-samples/sample-getting-started-with-strands-agents-course
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.
[ JUPYTER NOTEBOOK ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0000227
ENGAGEMENT0.85
FRESHNESS1.37
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
44% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.70
ACCEL
+0.13
RETENTION
5.9%
PEAK 2026-08-31 · FORK-RETENTION 54.5% · 81 STARS / WINDOW

Author Audience

AUDIENCE
118,799
FOLLOWERS
18,540
OWNER ★
85,209

Engagement Signals

FORKS
74
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 81 / 81 (DIVERSITY 1.00)

Why This Is A Finding

aws-samples/sample-getting-started-with-strands-agents-course собрал 81 звёзд за окно, тогда как у автора всего 18,540 подписчиков — эффективная аудитория ≈ 118,799. Это даёт surprise-индекс 0.0000227 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 54.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9679 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY2.703.80-1.10ABOVE 35%
RETENTION5.9%25.0%-19.1 PPABOVE 12%
FORKS74112-38ABOVE 40%
SURPRISE0.000.01-0.01ABOVE 2%