Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4506 · UNIT ID 1098369401
wilpel/caveman-compression
Caveman Compression is a semantic compression method for LLM contexts. It removes predictable grammar while preserving the unpredictable, factual content that defines meaning.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0234
ENGAGEMENT0.20
FRESHNESS1.33
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
35% 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 · S10

Growth Telemetry

VELOCITY /D
4.12
ACCEL
-0.13
RETENTION
9.0%
PEAK 2026-04-17 · FORK-RETENTION 0.0% · 371 STARS / WINDOW

Author Audience

AUDIENCE
136
FOLLOWERS
28
OWNER ★
1,081

Engagement Signals

FORKS
64
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 371 / 371 (DIVERSITY 1.00)

Why This Is A Finding

wilpel/caveman-compression собрал 371 звёзд за окно, тогда как у автора всего 28 подписчиков — эффективная аудитория ≈ 136. Это даёт surprise-индекс 0.0234 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 29%
VELOCITY4.123.99+0.13ABOVE 51%
RETENTION9.0%17.1%-8.1 PPABOVE 27%
FORKS6490-25ABOVE 40%
SURPRISE0.020.01+0.01ABOVE 70%