Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #3969 · UNIT ID 1195602794
CrispStrobe/CrispASR
C++ ggml runtime hub for multilingual ASR and TTS models: Cohere Transcribe, Parakeet TDT, Voxtral, Canary 1B v2, etc, plus universal forced alignment, and more
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0334
ENGAGEMENT0.20
FRESHNESS1.39
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
93% 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
4.54
ACCEL
-0.01
RETENTION
31.0%
PEAK 2026-05-05 · FORK-RETENTION 0.0% · 409 STARS / WINDOW

Author Audience

AUDIENCE
96
FOLLOWERS
36
OWNER ★
599

Engagement Signals

FORKS
70
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 409 / 409 (DIVERSITY 1.00)

Why This Is A Finding

CrispStrobe/CrispASR собрал 409 звёзд за окно, тогда как у автора всего 36 подписчиков — эффективная аудитория ≈ 96. Это даёт surprise-индекс 0.0334 (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 38%
VELOCITY4.543.99+0.55ABOVE 55%
RETENTION31.0%17.1%+13.9 PPABOVE 78%
FORKS7090-19ABOVE 42%
SURPRISE0.030.01+0.02ABOVE 83%