FINDING #8761 · UNIT ID 1151601707
romanyn36/agentic-ai-roadmap
A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-world deployment.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
15% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING
Growth Telemetry
VELOCITY /D
2.86
ACCEL
+0.39
RETENTION
14.3%
PEAK 2026-08-15 · FORK-RETENTION 0.0% · 20 STARS / WINDOW
Author Audience
AUDIENCE
116
FOLLOWERS
98
OWNER ★
176
Engagement Signals
FORKS
1
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)
Why This Is A Finding
romanyn36/agentic-ai-roadmap собрал 20 звёзд за окно, тогда как у автора всего 98 подписчиков — эффективная аудитория ≈ 116. Это даёт surprise-индекс 0.0184 (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.
Related Findings
RANKS ABOVE 10% OF 9744 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9744 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY2.863.29-0.43ABOVE 43%
RETENTION14.3%33.3%-19.0 PPABOVE 26%
FORKS1176-175ABOVE 1%
SURPRISE0.020.00+0.01ABOVE 78%