mend.io Tech Stack
mend.io uses 33 technologies across 25 categories, including Amazon CloudFront, Amazon Web Services, HSTS, Nginx, WordPress. The site is classified as Technology & Software. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: Technology & Software (50% confidence)
Technologies detected on mend.io
Infrastructure & Hosting
- Amazon CloudFront (100% confidence)
- Amazon Web Services (100% confidence)
- Nginx (100% confidence)
- Redis Object Cache (100% confidence)
- WP Rocket (100% confidence)
- Amazon Route 53 (100% confidence)
- Fastly (30% confidence)
Security & Privacy
- HSTS (100% confidence)
- accessiBe (75% confidence)
- Cookie Information (30% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Analytics & Tracking
- Cookiebot (100% confidence)
- Google Tag Manager (100% confidence)
- VWO (100% confidence)
- PostHog (75% confidence)
WordPress
- Rank Math (100% confidence)
- WP Migrate (100% confidence)
- RankMath SEO (100% confidence)
Communication & Engagement
- AddToAny (100% confidence)
- VWO Engage (30% confidence)
Other
- Open Graph (100% confidence)
- Comeet (75% confidence)
- LottieFiles (75% confidence)
Advertising & Marketing
- Schema.org (100% confidence)
- Engage (75% confidence)
Databases & Storage
- MySQL (80% confidence)
- Redis (80% confidence)
JavaScript & Frameworks
- GSAP (75% confidence)
- Inertia.js (75% confidence)
- Lottie (75% confidence)
- Swiper (75% confidence)
Media & Content
- Twitter Emoji (Twemoji) (75% confidence)
mend.io is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T12:11:23.407Z
Frequently Asked Questions
- What technologies does mend.io use?
- mend.io uses 33 technologies including Amazon CloudFront, Amazon Web Services, HSTS, Nginx, WordPress.
- What type of website is mend.io?
- mend.io is classified as a Technology & Software website.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.