appcast.io Tech Stack
appcast.io uses 32 technologies across 25 categories, including HSTS, Nginx, NitroPack, WP Engine, WordPress. The site is classified as Job Board & Recruiting. 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: Job Board & Recruiting (50% confidence)
Technologies detected on appcast.io
Security & Privacy
- HSTS (100% confidence)
- OneTrust (100% confidence)
- accessiBe (75% confidence)
Infrastructure & Hosting
- Nginx (100% confidence)
- NitroPack (100% confidence)
- WP Engine (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Elementor (100% confidence)
- Elementor Pro (100% confidence)
- Elementor Custom Skin (100% confidence)
- HubSpot CMS (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
Analytics & Tracking
- Google Tag Manager (100% confidence)
- Dreamdata (100% confidence)
- GTM4WP (100% confidence)
- VWO (100% confidence)
Communication & Engagement
- HubSpot Chat (100% confidence)
- VWO Engage (30% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- HubSpot (100% confidence)
- Schema.org (100% confidence)
Other
- Dynamic Conditions (100% confidence)
- Open Graph (100% confidence)
WordPress
- Google Tag Manager for WordPress (100% confidence)
- JetEngine (100% confidence)
- Page Links To (100% confidence)
JavaScript & Frameworks
- Swiper (100% confidence)
- Lottie (75% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
appcast.io is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T14:44:34.317Z
Frequently Asked Questions
- What technologies does appcast.io use?
- appcast.io uses 32 technologies including HSTS, Nginx, NitroPack, WP Engine, WordPress.
- What type of website is appcast.io?
- appcast.io is classified as a Job Board & Recruiting 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.