Sumanth077/Hands-On-AI-Engineering — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #2288 · UNIT ID 938322627

Sumanth077/Hands-On-AI-Engineering

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.012

ENGAGEMENT0.20

FRESHNESS1.33

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

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

15% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

12.93

ACCEL

-0.91

RETENTION

13.3%

PEAK 2026-06-16 · FORK-RETENTION 0.0% · 388 STARS / WINDOW

Author Audience

AUDIENCE

1,042

FOLLOWERS

429

OWNER ★

6,142

Engagement Signals

FORKS

701

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 388 / 388 (DIVERSITY 1.00)

Why This Is A Finding

Sumanth077/Hands-On-AI-Engineering собрал 388 звёзд за окно, тогда как у автора всего 429 подписчиков — эффективная аудитория ≈ 1,042. Это даёт surprise-индекс 0.012 (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 64% OF 6295 FINDINGS

#01shy3130/tickflow-stock-panel[ PYTHON ]0.46 #06Panniantong/Agent-Reach[ PYTHON ]0.29 #10sums001/Windows-Copilot-API[ PYTHON ]0.27 #12HUANGCHIHHUNGLeo/claude-real-video[ PYTHON ]0.24 #14realiti4/claude-swap[ PYTHON ]0.21

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 64%

VELOCITY12.934.23+8.70ABOVE 80%

RETENTION13.3%29.4%-16.1 PPABOVE 18%

FORKS70192+609ABOVE 89%

SURPRISE0.010.01-0.00ABOVE 50%