./LLMC
Server: Amazon S3
URL: https://inter-act.dsp.platform.io
Category: Business and Industry
SubCategory: Marketing and Advertising
Language:
Server: Amazon S3
App: Bootstrap
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: female
URL: https://wrapify.com
Category: Automotive
SubCategory: Automotive Industry
Language:
Server: Amazon S3
App: Squarespace
Sentiment: Good
Prevalent audience:
Age: 30-50
Gender: male
URL: https://musicvine.com
Category: Entertainment
SubCategory: Music
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 16-44
Gender: all
URL: https://logseq.com
Category: Computer and Electronics
SubCategory: Web Development
Language: English
Server: Amazon S3
Prevalent audience:
Age: 22-44
Gender: male
URL: https://affinity.help
Category: Computer and Electronics
SubCategory: Software
Language:
Server: Amazon S3
Sentiment: Good
Prevalent audience:
Age: 30-50
Gender: male
URL: https://viabill.com
Category: Business and Industry
SubCategory: E-Commerce
Language: English
Server: Amazon S3
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: male
URL: https://olx.ph
Category: Business and Industry
SubCategory: E-Commerce
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-34
Gender: male
URL: https://wilderness-international.org
Category: War and Conflicts
SubCategory: Aerial Warfare
Language: German
Server: Amazon S3
App: Medium
Sentiment: Good
Prevalent audience:
Age: 30-60
Gender: male
URL: https://lineage.freshping.io
Category: Computer and Electronics
SubCategory: Networking
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 34-54
Gender: male
URL: https://testpilot.fullsail.edu
Category: Education
SubCategory: Online Education
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 25-34
Gender: female
URL: https://grainsspes.s4.es.cloud.vt.edu
Category: Business and Industry
SubCategory: Agriculture and Forestry
Language:
Server: Amazon S3
Prevalent audience:
Age: 44-54
Gender: male
URL: https://uzabase.com
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Medium
Sentiment: Good
Prevalent audience:
Age: 30-45
Gender: male
URL: https://plannthat.com
Category: Business and Industry
SubCategory: Marketing and Advertising
Language: English
Server: Amazon S3
App: WordPress
Prevalent audience:
Age: 25-34
Gender: female
URL: https://oasis.app
Category: Entertainment
SubCategory: Movies
Language: English
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 18-54
Gender: all
URL: https://meuspedidos.com.br
Category: Business and Industry
SubCategory: E-Commerce
Language: Portuguese
Server: Amazon S3
App: React
Prevalent audience:
Age: 25-34
Gender: male
URL: https://monei.com
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Magento
Prevalent audience:
Age: 30-45
Gender: male
URL: https://marugame-seimen.com
Category: Entertainment
SubCategory: Documentary Films
Language: Japanese
Server: Amazon S3
App: Next.js
Prevalent audience:
Age: 25-54
Gender: male
URL: https://moviestarplanet.com
Category: Arts and Entertainment
SubCategory: Celebrities and Entertainment News
Language:
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-45
Gender: female
URL: https://ivy.com
Category: Entertainment
SubCategory: Movies
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-54
Gender: all
URL: https://s253.freshping.io
Category: Computer and Electronics
SubCategory: Programming Languages
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 22-44
Gender: male
URL: https://support.dalton.missouri.edu
Category: Computer and Electronics
SubCategory: IT and Internet Support
Language:
Server: Amazon S3
Prevalent audience:
Age: 25-44
Gender: male
URL: https://sainskini.com
Category: News and Media
SubCategory: Online News
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-54
Gender: all
URL: https://it.tamu.edu
Category: Computer and Electronics
SubCategory: Information and Network Security
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-44
Gender: male
URL: https://loginqa.wisc.edu
Category: Education
SubCategory: College Education
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-24
Gender: female
URL: https://matkahuolto.fi
Category: Holidays
SubCategory: Christmas
Language: Finnish
Server: Amazon S3
App: Gatsby
Prevalent audience:
Age: 25-65
Gender: female