Github Trends®
9593 findingsmedian surprise 0.00799window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
РЕПО НЕТ В ОКНЕ 180D. ПОКАЗАН FINDING ИЗ ОКНА 30D (30 days) — РАНГ #831.
FINDING #831 · UNIT ID 1173679205
Arjunpolen/TCS-NQT-PYQ-QUESTIONS
It was a mess to search for TCS NQT PYQs on the web and deal with pop-ups, ads, or even pay someone who simply gathered questions from different sites. While preparing, I systematically collected and verified TCS PYQs so they can be practiced easily in one place without distractions.[TCS NQT previous year questions, coding problems, DSA, aptitude]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0248
ENGAGEMENT0.48
FRESHNESS1.59
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
20% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.43
ACCEL
-0.11
RETENTION
26.9%
PEAK 2026-08-04 · FORK-RETENTION 84.6% · 73 STARS / WINDOW

Author Audience

AUDIENCE
58
FOLLOWERS
21
OWNER ★
373

Engagement Signals

FORKS
63
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 73 / 73 (DIVERSITY 1.00)

Why This Is A Finding

Arjunpolen/TCS-NQT-PYQ-QUESTIONS собрал 73 звёзд за окно, тогда как у автора всего 21 подписчиков — эффективная аудитория ≈ 58. Это даёт surprise-индекс 0.0248 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 84.6% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9593 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 91%
VELOCITY2.433.63-1.20ABOVE 31%
RETENTION26.9%25.0%+1.9 PPABOVE 54%
FORKS63117-54ABOVE 35%
SURPRISE0.020.01+0.02ABOVE 77%