Github Trends®
1120 findingsmedian surprise 0.0444window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #776 · UNIT ID 1289868346
nagisanzenin/engram
Evidence-based learning engine for Claude Code — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.36
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
54% 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

Growth Telemetry

VELOCITY /D
63.57
ACCEL
+8.00
RETENTION
20.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 445 STARS / WINDOW

Author Audience

AUDIENCE
137
FOLLOWERS
32
OWNER ★
1,049

Engagement Signals

FORKS
76
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 445 / 445 (DIVERSITY 1.00)

Why This Is A Finding

nagisanzenin/engram собрал 445 звёзд за окно, тогда как у автора всего 32 подписчиков — эффективная аудитория ≈ 137. Это даёт surprise-индекс 0.36 (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 1120 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.01-0.00ABOVE 31%
VELOCITY63.5713.86+49.71ABOVE 83%
RETENTION20.0%36.8%-16.8 PPABOVE 28%
FORKS7650+26ABOVE 58%
SURPRISE0.360.04+0.31ABOVE 94%