Github Trends®
6691 findingsmedian surprise 0.0103window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: starredAt history
FINDING #4346 · UNIT ID 1030344330
ryoiki-tokuiten/Iterative-Contextual-Refinements
Using BFS & DFS like techniques over LLMs for iteratively exploring the solution search space at scale.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0258
ENGAGEMENT0.20
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
89% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
3.61
ACCEL
+0.02
RETENTION
1.7%
PEAK 2026-06-15 · FORK-RETENTION 0.0% · 649 STARS / WINDOW

Author Audience

AUDIENCE
100
FOLLOWERS
20
OWNER ★
800

Engagement Signals

FORKS
62
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 649 / 649 (DIVERSITY 1.00)

Why This Is A Finding

ryoiki-tokuiten/Iterative-Contextual-Refinements собрал 649 звёзд за окно, тогда как у автора всего 20 подписчиков — эффективная аудитория ≈ 100. 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 6691 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 35%
VELOCITY3.613.19+0.41ABOVE 55%
RETENTION1.7%10.5%-8.8 PPABOVE 5%
FORKS6295-33ABOVE 35%
SURPRISE0.030.01+0.02ABOVE 87%