Github Trends®
9125 findingsmedian surprise 0.00425window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4427 · UNIT ID 1154675385
juanceresa/sift-kg
Turn any collection of documents into a knowledge graph. Extract entities and relationships via LLM, deduplicate with your approval. Map domains, find hidden connections, spot patterns across documents — knowledge that persists and compounds, for you and your AI agents. All from the CLI.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.23
ENGAGEMENT0.37
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
13% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
34.33
ACCEL
+3.50
RETENTION
60.0%
PEAK 2026-08-21 · FORK-RETENTION 27.3% · 103 STARS / WINDOW

Author Audience

AUDIENCE
106
FOLLOWERS
27
OWNER ★
794

Engagement Signals

FORKS
70
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 103 / 103 (DIVERSITY 1.00)

Why This Is A Finding

juanceresa/sift-kg собрал 103 звёзд за окно, тогда как у автора всего 27 подписчиков — эффективная аудитория ≈ 106. Это даёт surprise-индекс 0.23 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 27.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9125 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 51%
VELOCITY34.335.33+29.00ABOVE 92%
RETENTION60.0%20.6%+39.4 PPABOVE 76%
FORKS70343-273ABOVE 23%
SURPRISE0.230.00+0.23ABOVE 98%