Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7021 · UNIT ID 876545970
NVIDIA-AI-Blueprints/video-search-and-summarization
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000444
ENGAGEMENT0.76
FRESHNESS1.45
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.10
ACCEL
+0.02
RETENTION
31.3%
PEAK 2026-10-02 · FORK-RETENTION 59.1% · 63 STARS / WINDOW

Author Audience

AUDIENCE
4,689
FOLLOWERS
1,538
OWNER ★
8,063

Engagement Signals

FORKS
412
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 63 / 63 (DIVERSITY 1.00)

Why This Is A Finding

NVIDIA-AI-Blueprints/video-search-and-summarization собрал 63 звёзд за окно, тогда как у автора всего 1,538 подписчиков — эффективная аудитория ≈ 4,689. Это даёт surprise-индекс 0.000444 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 59.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 27%
VELOCITY2.103.80-1.70ABOVE 21%
RETENTION31.3%20.0%+11.2 PPABOVE 74%
FORKS412142+270ABOVE 74%
SURPRISE0.000.01-0.01ABOVE 10%