Github Trends®
6993 findingsmedian surprise 0.00952window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: starredAt history
FINDING #6936 · UNIT ID 1288348742
flyrank-bih/flyrank-ml-internship-starter
Starter repo for the FlyRank ML Internship - a runnable ML pipeline on real anonymized Google Search data, with Colab notebooks. Fork it, build your capstone in it.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0398
ENGAGEMENT0.00
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
50% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S3 · MORE FORKS THAN STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
4.57
ACCEL
-1.46
RETENTION
27.8%
PEAK 2026-07-10 · FORK-RETENTION 0.0% · 32 STARS / WINDOW

Author Audience

AUDIENCE
75
FOLLOWERS
30
OWNER ★
74

Engagement Signals

FORKS
120
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 32 / 32 (DIVERSITY 1.00)

Why This Is A Finding

flyrank-bih/flyrank-ml-internship-starter собрал 32 звёзд за окно, тогда как у автора всего 30 подписчиков — эффективная аудитория ≈ 75. Это даёт surprise-индекс 0.0398 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6993 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 1%
VELOCITY4.573.71+0.86ABOVE 57%
RETENTION27.8%32.1%-4.3 PPABOVE 43%
FORKS12093+27ABOVE 57%
SURPRISE0.040.01+0.03ABOVE 85%