Github Trends®
7723 findingsmedian surprise 0.00437window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #5453 · 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

SURPRISE0.0612
ENGAGEMENT0.43
FRESHNESS1.01
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
60.67
ACCEL
+32.00
RETENTION
54.2%
PEAK 2026-10-03 · FORK-RETENTION 34.6% · 182 STARS / WINDOW

Author Audience

AUDIENCE
951
FOLLOWERS
372
OWNER ★
1,034

Engagement Signals

FORKS
56
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 182 / 182 (DIVERSITY 1.00)

Why This Is A Finding

strands-labs/strands-decider собрал 182 звёзд за окно, тогда как у автора всего 372 подписчиков — эффективная аудитория ≈ 951. Это даёт surprise-индекс 0.0612 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 34.6% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 7723 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 29%
VELOCITY60.675.67+55.00ABOVE 96%
RETENTION54.2%40.0%+14.2 PPABOVE 64%
FORKS56334-278ABOVE 22%
SURPRISE0.060.00+0.06ABOVE 89%