Github Trends®
3194 findingsmedian surprise 0.0165window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: gharchive
FINDING #1959 · UNIT ID 1143925975
QuantaAlpha/QuantaAlpha
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00787
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
7.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-15 · FORK-RETENTION 0.0% · 7 STARS / WINDOW

Author Audience

AUDIENCE
849
FOLLOWERS
144
OWNER ★
2,805

Engagement Signals

FORKS
257
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 7 / 7 (DIVERSITY 1.00)

Why This Is A Finding

QuantaAlpha/QuantaAlpha собрал 7 звёзд за окно, тогда как у автора всего 144 подписчиков — эффективная аудитория ≈ 849. Это даёт surprise-индекс 0.00787 (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 3194 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 39%
VELOCITY7.0010.00-3.00ABOVE 27%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS257176+81ABOVE 60%
SURPRISE0.010.02-0.01ABOVE 32%