Github Trends®
1861 findingsmedian surprise 0.00124window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #1350 · UNIT ID 1341532184
TrenTorch/TrenTorch
Don't memorize ML. Understand it from first principles including Inference,Cuda,Deep-Learning,Data-science and Reinforcement Learning.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0127
ENGAGEMENT1.33
FRESHNESS1.22
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
16% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S11 · ONE ACCOUNT GENERATES MOST OF THE "COMMUNITY" ACTIVITY

Growth Telemetry

VELOCITY /D
1.80
ACCEL
-0.13
RETENTION
3.3%
PEAK 2026-09-06 · FORK-RETENTION 14.3% · 54 STARS / WINDOW

Author Audience

AUDIENCE
102
FOLLOWERS
15
OWNER ★
360

Engagement Signals

FORKS
38
ISSUE AUTH
5
PR AUTH
32
UNIQUE STARGAZERS 54 / 54 (DIVERSITY 1.00)

Why This Is A Finding

TrenTorch/TrenTorch собрал 54 звёзд за окно, тогда как у автора всего 15 подписчиков — эффективная аудитория ≈ 102. Это даёт surprise-индекс 0.0127 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 14.3% и 37 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1861 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 27%
VELOCITY1.802.70-0.90ABOVE 19%
RETENTION3.3%10.1%-6.8 PPABOVE 15%
FORKS38753-715ABOVE 11%
SURPRISE0.010.00+0.01ABOVE 87%