Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4333 · UNIT ID 1212068500
datascale-ai/opentalking
OpenTalking: An industrial-grade open-source AI digital human framework that supports real-time conversation, private deployment, and pluggable models.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0258
ENGAGEMENT0.20
FRESHNESS1.37
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
99% 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
25.73
ACCEL
+0.37
RETENTION
19.3%
PEAK 2026-05-11 · FORK-RETENTION 0.0% · 2,316 STARS / WINDOW

Author Audience

AUDIENCE
958
FOLLOWERS
54
OWNER ★
4,250

Engagement Signals

FORKS
446
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 2,316 / 2,316 (DIVERSITY 1.00)

Why This Is A Finding

datascale-ai/opentalking собрал 2,316 звёзд за окно, тогда как у автора всего 54 подписчиков — эффективная аудитория ≈ 958. Это даёт surprise-индекс 0.0258 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 32%
VELOCITY25.733.99+21.74ABOVE 92%
RETENTION19.3%17.1%+2.1 PPABOVE 55%
FORKS44690+357ABOVE 86%
SURPRISE0.030.01+0.01ABOVE 73%