Github Trends®
9779 findingsmedian surprise 0.00613window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #6126 · UNIT ID 1394675848
Akun-python/autumn-recruitment
Autumn recruitment preparation for algorithm position. Contains categorized LeetCode solutions, enterprise written exam codes, interview experience and CS fundamentals notes including CN, OS and DB.
[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.20
ENGAGEMENT0.38
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
62% 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
16.43
ACCEL
+0.07
RETENTION
61.5%
PEAK 2026-10-03 · FORK-RETENTION 69.2% · 115 STARS / WINDOW

Author Audience

AUDIENCE
43
FOLLOWERS
11
OWNER ★
321

Engagement Signals

FORKS
24
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 115 / 115 (DIVERSITY 1.00)

Why This Is A Finding

Akun-python/autumn-recruitment собрал 115 звёзд за окно, тогда как у автора всего 11 подписчиков — эффективная аудитория ≈ 43. Это даёт surprise-индекс 0.20 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 69.2% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9779 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 37%
VELOCITY16.433.43+13.00ABOVE 86%
RETENTION61.5%40.0%+21.5 PPABOVE 79%
FORKS24139-115ABOVE 18%
SURPRISE0.200.01+0.19ABOVE 98%