Github Trends®
9755 findingsmedian surprise 0.00933window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #3637 · 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

SURPRISE0.00911
ENGAGEMENT0.33
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
6.86
ACCEL
-0.11
RETENTION
55.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 48 STARS / WINDOW

Author Audience

AUDIENCE
713
FOLLOWERS
68
OWNER ★
2,703

Engagement Signals

FORKS
312
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 48 / 48 (DIVERSITY 1.00)

Why This Is A Finding

trustgraph-ai/trustgraph собрал 48 звёзд за окно, тогда как у автора всего 68 подписчиков — эффективная аудитория ≈ 713. Это даёт surprise-индекс 0.00911 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 63%
VELOCITY6.863.71+3.14ABOVE 69%
RETENTION55.0%37.5%+17.5 PPABOVE 77%
FORKS31290+222ABOVE 78%
SURPRISE0.010.01-0.00ABOVE 50%