byacre.com Tech Stack
byacre.com uses 29 technologies across 18 categories, including Cloudflare, HSTS, HTTP/3, Cookiebot, Google Analytics 4. The site is classified as E-commerce & Retail. 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: E-commerce & Retail (55% confidence)
Technologies detected on byacre.com
Infrastructure & Hosting
- Cloudflare (100% confidence)
- Redis Object Cache (100% confidence)
- WP Rocket (100% confidence)
Security & Privacy
- HSTS (100% confidence)
- Cookie Information (100% confidence)
Other
- HTTP/3 (100% confidence)
- Polylang (100% confidence)
- Open Graph (100% confidence)
Analytics & Tracking
- Cookiebot (100% confidence)
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
- Matomo (100% confidence)
- Cloudflare Browser Insights (100% confidence)
- Google Analytics (75% confidence)
- Matomo Analytics (75% confidence)
CMS & Site Builders
- Gutenberg (100% confidence)
- WordPress (100% confidence)
- WordPress Block Editor (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- Bing Ads (100% confidence)
- Klaviyo (100% confidence)
- Schema.org (100% confidence)
JavaScript & Frameworks
- jQuery (100% confidence)
- DataTables (75% confidence)
- Select2 (75% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
Databases & Storage
- Redis (80% confidence)
- MySQL (80% confidence)
byacre.com is identified as a news website with 90% confidence.
Last analyzed: 1970-01-21T14:54:46.519Z
Frequently Asked Questions
- What technologies does byacre.com use?
- byacre.com uses 29 technologies including Cloudflare, HSTS, HTTP/3, Cookiebot, Google Analytics 4.
- What type of website is byacre.com?
- byacre.com is classified as a E-commerce & Retail 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.