Github Trends®
9306 findingsmedian surprise 0.00505window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3594 · UNIT ID 1273073712
Spark-To-Paper-Skills/spark-to-paper-skills
One sentence in, one draft paper out: spark-to-paper-skills automatically reviews papers, plans and runs experiments, and writes a research draft—typically using about $10 in API costs per paper.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0181
ENGAGEMENT0.069
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
10.00
ACCEL
+2.50
RETENTION
0.0%
PEAK 2026-09-22 · FORK-RETENTION 0.0% · 30 STARS / WINDOW

Author Audience

AUDIENCE
513
FOLLOWERS
3
OWNER ★
2,533

Engagement Signals

FORKS
19
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 30 / 30 (DIVERSITY 1.00)

Why This Is A Finding

Spark-To-Paper-Skills/spark-to-paper-skills собрал 30 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 513. Это даёт surprise-индекс 0.0181 (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 9306 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 61%
VELOCITY10.005.67+4.33ABOVE 68%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS19321-302ABOVE 11%
SURPRISE0.020.01+0.01ABOVE 71%