Github Trends®
8663 findingsmedian surprise 0.00452window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #7862 · 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

SURPRISE0.00594
ENGAGEMENT0.29
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
5.67
ACCEL
-0.50
RETENTION
71.4%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE
914
FOLLOWERS
153
OWNER ★
3,045

Engagement Signals

FORKS
287
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

QuantaAlpha/QuantaAlpha собрал 17 звёзд за окно, тогда как у автора всего 153 подписчиков — эффективная аудитория ≈ 914. Это даёт surprise-индекс 0.00594 (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 8663 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY5.675.670.00ABOVE 48%
RETENTION71.4%41.7%+29.8 PPABOVE 79%
FORKS287332-45ABOVE 47%
SURPRISE0.010.00+0.00ABOVE 55%