Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #9252 · 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.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00143
ENGAGEMENT0.36
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% 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
1.43
ACCEL
+0.39
RETENTION
20.0%
PEAK 2026-10-16 · FORK-RETENTION 0.0% · 10 STARS / WINDOW

Author Audience

AUDIENCE
958
FOLLOWERS
161
OWNER ★
3,178

Engagement Signals

FORKS
307
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 10 / 10 (DIVERSITY 1.00)

Why This Is A Finding

QuantaAlpha/QuantaAlpha собрал 10 звёзд за окно, тогда как у автора всего 161 подписчиков — эффективная аудитория ≈ 958. Это даёт surprise-индекс 0.00143 (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 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 4%
VELOCITY1.433.14-1.71ABOVE 0%
RETENTION20.0%16.7%+3.3 PPABOVE 54%
FORKS307277+30ABOVE 52%
SURPRISE0.000.00-0.00ABOVE 36%