zubair-trabzada/ai-marketing-claude — GitHub trend

FINDING #6116 · UNIT ID 1170303612

zubair-trabzada/ai-marketing-claude

AI Marketing Suite for Claude Code. 15 marketing skills with parallel subagents — audit any website, generate copy, email sequences, ad campaigns, content calendars, competitive intelligence, and client-ready PDF reports.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00281

ENGAGEMENT0.30

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

7.14

ACCEL

-0.57

RETENTION

75.9%

PEAK 2026-08-23 · FORK-RETENTION 0.0% · 50 STARS / WINDOW

Author Audience

AUDIENCE

2,499

FOLLOWERS

873

OWNER ★

16,262

Engagement Signals

FORKS

698

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 50 / 50 (DIVERSITY 1.00)

Why This Is A Finding

zubair-trabzada/ai-marketing-claude собрал 50 звёзд за окно, тогда как у автора всего 873 подписчиков — эффективная аудитория ≈ 2,499. Это даёт surprise-индекс 0.00281 (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 37% OF 9771 FINDINGS

#05MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #08zeenie-ai/OpenCompany[ PYTHON ]0.38 #15litaolemo/xtquant_big_convert[ PYTHON ]0.33 #23917Dhj/DeepPaperNote[ PYTHON ]0.27 #24LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.27

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 37%

VELOCITY7.143.71+3.43ABOVE 71%

RETENTION75.9%39.3%+36.6 PPABOVE 94%

FORKS69891+607ABOVE 90%

SURPRISE0.000.01-0.01ABOVE 24%