matters.ai Tech Stack
Live first-party scan of matters.ai's tech stack. 8 technologies detected across 8 categories, via Wappalyzer fingerprinting + DNS CNAME + TLS certificate inspection.
Infrastructure Layer
Let's Encrypt
JavaScript frameworks
Next.js
React
Miscellaneous
Webpack
PaaS
Vercel
Programming languages
Node.js
SSL/TLS certificate authority
Let's Encrypt
Security
HSTS
Tag managers
Google Tag Manager
Web frameworks
Next.js
Compare matters.ai's Stack
How was this detected?
For matters.ai, DetectZeStack identified 8 technologies: 7 via HTTP fingerprinting and 1 via TLS handshake.
Detection runs four independent layers in parallel: HTTP response headers, TLS handshake metadata, certificate issuer inspection, and DNS record lookups. The breakdown above shows which layers fired for this specific domain — some sites carry most of their fingerprint in HTTP, others rely heavily on infrastructure (DNS/TLS).
How matters.ai compares
Symmetric diff between matters.ai and similar sites detected on DetectZeStack.
vs www.matters.ai — 8 shared
vs gopro.com — 6 shared, 2 unique here, 4 unique there
Only on matters.ai: Vercel, Let's Encrypt
Only on gopro.com: OneTrust, Amazon CloudFront, Amazon Web Services, Nginx
vs www.qbraid.com — 4 shared, 4 unique here, 4 unique there
Only on matters.ai: Vercel, Google Tag Manager, HSTS, Let's Encrypt
Only on www.qbraid.com: Google Cloud, p5.js, Google Cloud CDN, Google Cloud Load Balancing
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Get Free API Key Chrome ExtensionWhat technologies does matters.ai use?
matters.ai uses 8 technologies across 8 categories. The full breakdown is listed above, organized by function. Each technology was identified through analysis of HTTP headers, DNS records, TLS certificates, and HTML content.
What JavaScript framework does matters.ai use?
matters.ai uses Next.js, React. JavaScript frameworks are detected through script analysis and HTML markup patterns.
What web framework does matters.ai use?
matters.ai is built with Next.js. Framework detection relies on HTTP header fingerprints and HTML source analysis.
How is matters.ai's tech stack detected?
DetectZeStack identifies technologies on matters.ai through multiple detection methods: HTTP response header analysis, HTML and JavaScript content scanning, DNS record lookups, and TLS certificate inspection. This multi-layered approach catches technologies that single-method tools miss.