Github Trends®
571 findingsmedian surprise 0.0209window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #425 · UNIT ID 1129583447
yifanfeng97/Hyper-Extract
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0262
ENGAGEMENT0.20
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
99% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
16.93
ACCEL
+0.30
RETENTION
18.5%
PEAK 2026-06-17 · FORK-RETENTION 0.0% · 3,047 STARS / WINDOW

Author Audience

AUDIENCE
607
FOLLOWERS
289
OWNER ★
3,180

Engagement Signals

FORKS
367
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 3,047 / 3,047 (DIVERSITY 1.00)

Why This Is A Finding

yifanfeng97/Hyper-Extract собрал 3,047 звёзд за окно, тогда как у автора всего 289 подписчиков — эффективная аудитория ≈ 607. Это даёт surprise-индекс 0.0262 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 571 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 26%
VELOCITY16.936.39+10.53ABOVE 73%
RETENTION18.5%17.7%+0.9 PPABOVE 52%
FORKS367135+232ABOVE 74%
SURPRISE0.030.02+0.01ABOVE 65%