Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4701 · UNIT ID 915520679
FareedKhan-dev/train-llm-from-scratch
A straightforward method for training your LLM, from downloading data to generating text.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00973
ENGAGEMENT0.20
FRESHNESS1.39
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
94% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
43.63
ACCEL
+0.84
RETENTION
14.2%
PEAK 2026-06-01 · FORK-RETENTION 0.0% · 7,853 STARS / WINDOW

Author Audience

AUDIENCE
4,443
FOLLOWERS
2,234
OWNER ★
22,087

Engagement Signals

FORKS
1,152
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 7,853 / 7,853 (DIVERSITY 1.00)

Why This Is A Finding

FareedKhan-dev/train-llm-from-scratch собрал 7,853 звёзд за окно, тогда как у автора всего 2,234 подписчиков — эффективная аудитория ≈ 4,443. Это даёт surprise-индекс 0.00973 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 21%
VELOCITY43.633.29+40.33ABOVE 98%
RETENTION14.2%11.3%+2.9 PPABOVE 59%
FORKS1,15299+1,053ABOVE 95%
SURPRISE0.010.01-0.00ABOVE 48%