Meat, Team Kuax

Team Kuax와 Meat

OVERVIEW

This website kuax.org presently has a traffic ranking of zero (the smaller the superior). We have noted one contacts and locations for kuax.org to help you connect with them. This website kuax.org has been online for five hundred and sixty-four weeks, twenty-five days, six hours, and fifty-six minutes.
Contacts
1
Locations
1
Online Since
Dec 2013

KUAX.ORG RANKINGS

This website kuax.org is seeing diverging quantities of traffic until the end of the year.
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KUAX.ORG HISTORY

This website kuax.org was first filed on December 11, 2013. It is currently five hundred and sixty-four weeks, twenty-five days, six hours, and fifty-six minutes old.
REGISTERED
December
2013

WEBSITE MATURITY

10
YEARS
9
MONTHS
24
DAYS

LINKS TO BUSINESS

WHAT DOES KUAX.ORG LOOK LIKE?

Desktop Screenshot of kuax.org Mobile Screenshot of kuax.org Tablet Screenshot of kuax.org

CONTACTS

Sim Jae Hyeong

18-16 Nambusunhwan-ro 317-gil Seocho-gu

Seoul, 137867

KR

KUAX.ORG HOST

I caught that the main page on kuax.org took three hundred and thirteen milliseconds to download. Our parsers could not detect a SSL certificate, so our parsers consider this site not secure.
Load time
0.313 seconds
SSL
NOT SECURE
Internet Address
104.18.51.151

NAME SERVERS

ns2.cafe24.com
ns1.cafe24.com
ns2.cafe24.co.kr
ns1.cafe24.co.kr

BOOKMARK ICON

SERVER OPERATING SYSTEM

I identified that kuax.org is implementing the cloudflare operating system.

TITLE

Meat, Team Kuax

DESCRIPTION

Team Kuax와 Meat

CONTENT

This website states the following, "Inha University에서 컴퓨터 공학을 전공한 Jae-Hyeong Sim입니다." Our analyzers analyzed that the web page said " HTML5 및 CSS3로 웹 페이지를 디자인 할 수 있으며 Adobe의 Photoshop과 After Effects를 문제없이 다룰 수 있습니다." The Website also stated " C 과 C를 Windows 및 Linux 환경에서 사용 가능하며, Python으로 Deep-Learning Framework인 Tensorflow를 다룰 수 있습니다. 이 외에도 C, Java, 스크립트 언어인 Lua, Javascript 등을 다룰 수 있습니다. Debian 계열의 Linux 환경에서 System Programming 경험이 있으며, vim 에 익숙합니다. 20만건 이상의 조회수 및 5만여건의 다운로드를 기록한 프로젝트의 기획 및 github를 관리한 경험도 있습니다. Play Games with Deep-Learning 2017."

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