yizhiyanhua-ai/fireworks-tech-graph — GitHub trend

FINDING #3297 · UNIT ID 1207091162

yizhiyanhua-ai/fireworks-tech-graph

Generate production-quality SVG+PNG technical diagrams from natural language. 7 styles, UML support, and AI/Agent workflow patterns.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0126

ENGAGEMENT0.28

FRESHNESS1.00

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

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

2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

34.00

ACCEL

-0.57

RETENTION

66.7%

PEAK 2026-08-25 · FORK-RETENTION 50.0% · 238 STARS / WINDOW

Author Audience

AUDIENCE

2,655

FOLLOWERS

114

OWNER ★

12,134

Engagement Signals

FORKS

882

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 238 / 238 (DIVERSITY 1.00)

Why This Is A Finding

yizhiyanhua-ai/fireworks-tech-graph собрал 238 звёзд за окно, тогда как у автора всего 114 подписчиков — эффективная аудитория ≈ 2,655. Это даёт surprise-индекс 0.0126 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 50.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 66% OF 9760 FINDINGS

#08MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #17litaolemo/xtquant_big_convert[ PYTHON ]0.36 #20LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.34 #24zeenie-ai/OpenCompany[ PYTHON ]0.30 #25917Dhj/DeepPaperNote[ PYTHON ]0.29

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 66%

VELOCITY34.003.71+30.29ABOVE 93%

RETENTION66.7%38.0%+28.6 PPABOVE 88%

FORKS88286+796ABOVE 92%

SURPRISE0.010.01+0.00ABOVE 56%