Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8427 · UNIT ID 1114838453
serenakeyitan/awesome-notebookLM-prompts
A curated collection of the strongest NotebookLM slide prompts sourced from the real creative underground . Your go-to resource for AI powerpoint :P
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00656
ENGAGEMENT0.53
FRESHNESS1.47
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
5.83
ACCEL
-0.21
RETENTION
13.8%
PEAK 2026-07-31 · FORK-RETENTION 72.2% · 175 STARS / WINDOW

Author Audience

AUDIENCE
849
FOLLOWERS
311
OWNER ★
5,392

Engagement Signals

FORKS
667
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 175 / 175 (DIVERSITY 1.00)

Why This Is A Finding

serenakeyitan/awesome-notebookLM-prompts собрал 175 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 849. Это даёт surprise-индекс 0.00656 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 72.2% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY5.833.67+2.17ABOVE 66%
RETENTION13.8%24.6%-10.8 PPABOVE 29%
FORKS667115+552ABOVE 87%
SURPRISE0.010.01-0.00ABOVE 44%