Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4820 · UNIT ID 1006258471
FluidInference/FluidAudio
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
[ SWIFT ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00828
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
52% 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
7.07
ACCEL
+0.00
RETENTION
12.6%
PEAK 2026-06-15 · FORK-RETENTION 0.0% · 1,273 STARS / WINDOW

Author Audience

AUDIENCE
814
FOLLOWERS
99
OWNER ★
3,079

Engagement Signals

FORKS
347
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,273 / 1,273 (DIVERSITY 1.00)

Why This Is A Finding

FluidInference/FluidAudio собрал 1,273 звёзд за окно, тогда как у автора всего 99 подписчиков — эффективная аудитория ≈ 814. Это даёт surprise-индекс 0.00828 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 19%
VELOCITY7.073.29+3.78ABOVE 75%
RETENTION12.6%11.3%+1.3 PPABOVE 54%
FORKS34799+248ABOVE 82%
SURPRISE0.010.01-0.00ABOVE 45%