trustgraph-ai/trustgraph — GitHub trend

FINDING #2871 · UNIT ID 826980617

trustgraph-ai/trustgraph

The context orchestration layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is not just traceable, but cryptographically verifiable.

[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00946

ENGAGEMENT0.43

FRESHNESS1.43

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

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

8% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

7.10

ACCEL

-0.01

RETENTION

15.4%

PEAK 2026-08-05 · FORK-RETENTION 63.3% · 213 STARS / WINDOW

Author Audience

AUDIENCE

711

FOLLOWERS

OWNER ★

2,695

Engagement Signals

FORKS

311

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 213 / 213 (DIVERSITY 1.00)

Why This Is A Finding

trustgraph-ai/trustgraph собрал 213 звёзд за окно, тогда как у автора всего 68 подписчиков — эффективная аудитория ≈ 711. Это даёт surprise-индекс 0.00946 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 63.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 70% OF 9595 FINDINGS

#02guillaumemeyer/watermarks-remover[ PYTHON ]0.43 #09awesome-dsh-plugin/awesome-dsh-plugin[ PYTHON ]0.38 #10wang2122/sprix-sage-router[ PYTHON ]0.37 #16virgiliojr94/book-to-skill[ PYTHON ]0.31 #19ayghri/i-have-adhd[ PYTHON ]0.28

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 70%

VELOCITY7.103.67+3.43ABOVE 71%

RETENTION15.4%24.6%-9.2 PPABOVE 32%

FORKS311115+196ABOVE 74%

SURPRISE0.010.01+0.00ABOVE 54%