Websites Using Linguise

Linguise is an automatic translation service with a front-end translation editor.

Categories: Customer data platform

Official website: https://www.linguise.com

30 websites using Linguise

• lordofcbd.fr
• nightlife-cityguide.com
• savethefrogs.com
• skyone.solutions
• peoplestv.me
• wildbeimwild.com
• mediagene.co.jp
• animenew.com.br
• sumiyaki-unafuji.com
• medex.co.th
• trm.fr
• 360ua.news
• time-forex.com
• help-desk-migration.com
• scannablefakeid.re
• emundus.fr
• schmerzklinik.de
• harmo.me
• steep.jp
• eazis.com
• cruelty.farm
• diariovagas.com
• ibsplc.com
• nras.org.uk
• aboveproperty.com
• woka.io
• tierradelsol.cr
• joomunited.com
• wwr-stardom.com
• singular.net

Linguise is ranked #20 of 35 in Customer data platform by website adoption.

Customer data platform alternatives ranked by popularity

1. Adobe Experience Platform — 2,568 websites
2. Tealium — 1,228 websites
3. Segment — 887 websites
4. Twilio Segment — 736 websites
5. Permutive — 715 websites
6. Hull — 693 websites
7. ActionIQ — 0 websites
8. Amperity — 0 websites
9. Bablic — 0 websites
10. BlueConic — 0 websites

Technologies commonly used with Linguise

• PHP — 97% co-occurrence
• MySQL — 90% co-occurrence
• WordPress — 90% co-occurrence
• Open Graph — 87% co-occurrence
• Schema.org — 80% co-occurrence
• Priority Hints — 80% co-occurrence
• Google Analytics — 63% co-occurrence
• Google Analytics 4 — 60% co-occurrence

How WhatStack detects Linguise

WhatStack detects Linguise by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is Linguise?

Linguise is an automatic translation service with a front-end translation editor.

How many websites use Linguise?

WhatStack has detected Linguise on 30 websites in our database.

How do you detect Linguise?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Linguise with high accuracy using signature-based pattern matching.