FareedKhan-dev/train-llm-from-scratch — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #1841 · 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

SURPRISE0.0159

ENGAGEMENT0.20

FRESHNESS1.33

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

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

26% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

71.47

ACCEL

-5.05

RETENTION

17.1%

PEAK 2026-06-29 · FORK-RETENTION 0.0% · 2,144 STARS / WINDOW

Author Audience

AUDIENCE

4,443

FOLLOWERS

2,234

OWNER ★

22,087

Engagement Signals

FORKS

1,152

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 2,144 / 2,144 (DIVERSITY 1.00)

Why This Is A Finding

FareedKhan-dev/train-llm-from-scratch собрал 2,144 звёзд за окно, тогда как у автора всего 2,234 подписчиков — эффективная аудитория ≈ 4,443. Это даёт surprise-индекс 0.0159 (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 71% 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 71%

VELOCITY71.474.23+67.23ABOVE 96%

RETENTION17.1%29.4%-12.3 PPABOVE 25%

FORKS1,15292+1,060ABOVE 93%

SURPRISE0.020.01+0.00ABOVE 59%