Github Trends®
9757 findingsmedian surprise 0.00781window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7956 · UNIT ID 1395995350
strands-labs/strands-decider
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0387
ENGAGEMENT0.36
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
51% 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

Growth Telemetry

VELOCITY /D
41.57
ACCEL
-8.29
RETENTION
29.1%
PEAK 2026-10-07 · FORK-RETENTION 13.3% · 291 STARS / WINDOW

Author Audience

AUDIENCE
1,034
FOLLOWERS
390
OWNER ★
1,269

Engagement Signals

FORKS
73
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 291 / 291 (DIVERSITY 1.00)

Why This Is A Finding

strands-labs/strands-decider собрал 291 звёзд за окно, тогда как у автора всего 390 подписчиков — эффективная аудитория ≈ 1,034. Это даёт surprise-индекс 0.0387 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 13.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9757 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY41.573.57+38.00ABOVE 94%
RETENTION29.1%40.0%-10.9 PPABOVE 33%
FORKS73112-39ABOVE 40%
SURPRISE0.040.01+0.03ABOVE 85%