URL: https://www.gov.sg
Category: Law and Government
SubCategory: Government
Language: English
Server: Amazon S3
App: Medium
Sentiment: Good
Prevalent audience:
Age: 34-54
Gender: female

URL: https://jigokuraku.com
Category: Maps and Navigation
SubCategory: Online Maps
Language: Japanese
Server: Amazon S3
App: Vue.js
Prevalent audience:
Age: 18-65
Gender: all

URL: https://vizify.com
Category: Arts and Entertainment
SubCategory: Celebrities and Entertainment News
Language:
Server: Amazon S3
Sentiment: Neutral
Prevalent audience:
Age: 18-45
Gender: female

URL: https://moneysense.gov.sg
Category: Finance
SubCategory: Financial Management
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 35-55
Gender: male

URL: https://www.myhomework.lumos.edu
Category: Entertainment
SubCategory: Entertainment Industry
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-44
Gender: all

URL: https://keepworking.it-prod-webhosting.aws.umd.edu
Category: Education
SubCategory: College Education
Language:
Server: Amazon S3
Prevalent audience:
Age: 18-24
Gender: female

URL: https://logindev.wisc.edu
Category: Education
SubCategory: College Education
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-24
Gender: female

URL: https://makuake.co.jp
Category: Business and Industry
SubCategory: Business Services
Language: Japanese
Server: Amazon S3
App: WordPress
Prevalent audience:
Age: 30-45
Gender: male

URL: https://videohall.com
Category: Education
SubCategory: Online Education
Language:
Server: Amazon S3
App: Discourse
Sentiment: Neutral
Prevalent audience:
Age: 25-34
Gender: female

URL: https://pas.freshping.io
Category: Entertainment
SubCategory: Movies
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 18-54
Gender: all

URL: https://yrph.com
Category: Adult
SubCategory: Virtual Reality
Language: Japanese
Server: Amazon S3
App: Adobe Experience Manager
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: male

URL: https://nyle.co.jp
Category: News and Media
SubCategory: Educational News
Language:
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 30-55
Gender: female

URL: https://minnesotaheadline.com
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 30-45
Gender: male

URL: https://vidgrid.com
Category: Computer and Electronics
SubCategory: Programming Languages
Language: English
Server: Amazon S3
Sentiment: Neutral
Prevalent audience:
Age: 22-44
Gender: male

URL: https://appsfightcovid.kayzen.io
Category: Computer and Electronics
SubCategory: Web Development
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Good
Prevalent audience:
Age: 22-44
Gender: male

URL: https://engage.ashland.edu
Category: Business and Industry
SubCategory: E-Commerce
Language: English
Server: Amazon S3
Prevalent audience:
Age: 25-34
Gender: male

URL: https://warnerbroscanada.com
Category: Arts and Entertainment
SubCategory: Movies
Language: English
Server: Amazon S3
App: Gatsby
Sentiment: Good

URL: https://munchery.com
Category: Food and Drink
SubCategory: Cooking and Recipes
Language: English
Server: Amazon S3
App: Gatsby
Prevalent audience:
Age: 25-55
Gender: female

URL: https://winall.cc
Category: Games
SubCategory: Online Games
Language: English
Server: Amazon S3
App: Next.js
Sentiment: Good
Prevalent audience:
Age: 16-40
Gender: male

URL: https://lemoncams.com
Category: Arts and Entertainment
SubCategory: Animation and Comics
Language:
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-30
Gender: female

URL: https://unfuddle.com
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Backbone.js
Sentiment: Good
Prevalent audience:
Age: 30-45
Gender: male

URL: https://region3crprcep.it-prod-webhosting.aws.umd.edu
Category: Arts and Entertainment
SubCategory: Celebrities and Entertainment News
Language:
Server: Amazon S3
Prevalent audience:
Age: 18-45
Gender: female

URL: https://polar.com
Category: Beauty and Fitness
SubCategory: Fitness
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 20-64
Gender: male

URL: https://vijayabank.com
Category: Real Estate
SubCategory: Real Estate Buying and Selling
Language:
Server: Amazon S3
Sentiment: Good
Prevalent audience:
Age: 30-55
Gender: all

URL: https://wiganathletic.com
Category: News and Media
SubCategory: World News
Language:
Server: Amazon S3
App: Adobe Experience Manager
Sentiment: Good
Prevalent audience:
Age: 30-65
Gender: male