Github Trends®
9582 findingsmedian surprise 0.00484window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3606 · UNIT ID 1372665897
Mapika/decider
A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.63
ENGAGEMENT0.30
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
60% 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
69.67
ACCEL
-28.50
RETENTION
64.8%
PEAK 2026-09-21 · FORK-RETENTION 76.9% · 209 STARS / WINDOW

Author Audience

AUDIENCE
70
FOLLOWERS
28
OWNER ★
422

Engagement Signals

FORKS
22
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 209 / 209 (DIVERSITY 1.00)

Why This Is A Finding

Mapika/decider собрал 209 звёзд за окно, тогда как у автора всего 28 подписчиков — эффективная аудитория ≈ 70. Это даёт surprise-индекс 0.63 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9582 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 62%
VELOCITY69.675.67+64.00ABOVE 96%
RETENTION64.8%43.8%+21.1 PPABOVE 70%
FORKS22326-304ABOVE 12%
SURPRISE0.630.00+0.63ABOVE 100%