./LLMC
Server: Amazon S3
URL: https://serverlessland.com
Category: Entertainment
SubCategory: Movies
Language:
Server: Amazon S3
App: Nuxt.js
Prevalent audience:
Age: 18-54
Gender: all
URL: https://mccy.gov.sg
Category: Sports
SubCategory: Sports Equipment
Language: English
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 18-44
Gender: male
URL: https://mljar.com
Category: Computer and Electronics
SubCategory: Computer Hardware
Language: English
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 32-52
Gender: male
URL: https://www.virtualalpha.io
Category: Agriculture
SubCategory: Crop Farming
Language:
Server: Amazon S3
App: Nuxt.js
Sentiment: Neutral
Prevalent audience:
Age: 35-60
Gender: male
URL: https://motat.nz
Category: Attractions
SubCategory: Museums and Galleries
Language: English
Server: Amazon S3
App: Gatsby
Prevalent audience:
Age: 25-45
Gender: male
URL: https://www.oxford.emory.edu
Category: Education
SubCategory: College Education
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-24
Gender: female
URL: https://email.tamu.edu
Category: Education
SubCategory: College Education
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-24
Gender: female
URL: https://dts.freshping.io
Category: Computer and Electronics
SubCategory: Computer Networking
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 25-44
Gender: male
URL: https://printicular.com
Category: Arts and Entertainment
SubCategory: Photography
Language: English
Server: Amazon S3
App: Gatsby
URL: https://oyaide.com
Category: Business and Industry
SubCategory: Chemicals
Language:
Server: Amazon S3
Prevalent audience:
Age: 35-55
Gender: male
URL: https://beroni.zerorisk.io
Category: Business and Industry
SubCategory: Business Associations
Language:
Server: Amazon S3
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 35-60
Gender: male
URL: https://kaikatsu.jp
Category: Holidays
SubCategory: National Holidays
Language:
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-65
Gender: all
URL: https://acre.com
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Next.js
Sentiment: Good
Prevalent audience:
Age: 30-45
Gender: male
URL: https://ultimatesportsdaily.com
Category: Business and Industry
SubCategory: Agriculture and Forestry
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Neutral
Prevalent audience:
Age: 44-54
Gender: male
URL: https://ryzm.jp
Category: Adult
SubCategory: Virtual Reality
Language: Japanese
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 25-34
Gender: male
URL: https://orlandoairports.net
Category: Geography
SubCategory: Human Geography
Language:
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 20-40
Gender: female
URL: https://window-swap.com
Category: Entertainment
SubCategory: Entertainment News
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Good
Prevalent audience:
Age: 18-44
Gender: female
URL: https://mission-yozakura-family.com
Category: Internet and Telecom
SubCategory: Search Engines
Language: Japanese
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 16-72
Gender: all
URL: https://phantomgalaxies.com
Category: Entertainment
SubCategory: Movies
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 18-54
Gender: all
URL: https://link.arizonachristian.edu
Category: Business and Industry
SubCategory: Marketing and Advertising
Language: English
Server: Amazon S3
Prevalent audience:
Age: 25-34
Gender: female
URL: https://homecu.net
Category: Recreation and Hobbies
SubCategory: Arts and Crafts
Language: English
Server: Amazon S3
Prevalent audience:
Age: 25-60
Gender: female
URL: https://rockarch.org
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Jekyll
Prevalent audience:
Age: 30-45
Gender: male
URL: https://accringtonstanley.co.uk
Category: Agriculture
SubCategory: Food Production
Language:
Server: Amazon S3
App: Medium
Sentiment: Neutral
Prevalent audience:
Age: 30-55
Gender: all
URL: https://tag.gatech.edu
Category: Computer and Electronics
SubCategory: Software
Language: English
Server: Amazon S3
App: Hugo
Prevalent audience:
Age: 30-50
Gender: male
URL: https://pimsleur.com
Category: Languages
SubCategory: Language Learning
Language: English
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 16-45
Gender: female