Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #1720 · UNIT ID 932348189
drmingler/smart-llm-loader
smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0138
ENGAGEMENT0.71
FRESHNESS1.23
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
34% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.53
ACCEL
+0.01
RETENTION
4.0%
PEAK 2026-08-04 · FORK-RETENTION 28.9% · 106 STARS / WINDOW

Author Audience

AUDIENCE
215
FOLLOWERS
25
OWNER ★
1,903

Engagement Signals

FORKS
34
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 106 / 106 (DIVERSITY 1.00)

Why This Is A Finding

drmingler/smart-llm-loader собрал 106 звёзд за окно, тогда как у автора всего 25 подписчиков — эффективная аудитория ≈ 215. Это даёт surprise-индекс 0.0138 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 28.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 82%
VELOCITY3.533.67-0.13ABOVE 48%
RETENTION4.0%24.6%-20.6 PPABOVE 9%
FORKS34115-81ABOVE 23%
SURPRISE0.010.01+0.01ABOVE 63%