Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #5212 · UNIT ID 627024850
OpenAdaptAI/OpenAdapt
For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save, and stops when something doesn't match.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00254
ENGAGEMENT0.43
FRESHNESS1.57
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.63
ACCEL
-0.01
RETENTION
19.0%
PEAK 2026-09-29 · FORK-RETENTION 85.7% · 49 STARS / WINDOW

Author Audience

AUDIENCE
602
FOLLOWERS
104
OWNER ★
1,972

Engagement Signals

FORKS
266
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 49 / 49 (DIVERSITY 1.00)

Why This Is A Finding

OpenAdaptAI/OpenAdapt собрал 49 звёзд за окно, тогда как у автора всего 104 подписчиков — эффективная аудитория ≈ 602. Это даёт surprise-индекс 0.00254 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 85.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 46%
VELOCITY1.633.80-2.17ABOVE 6%
RETENTION19.0%20.3%-1.2 PPABOVE 47%
FORKS266138+128ABOVE 65%
SURPRISE0.000.01-0.00ABOVE 27%