StackScan
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StackScan helps businesses find and analyze websites based on the technologies they use or the keywords they target. Instead of manually researching websites one by one, users can instantly search across 100M+ domains and identify sites using platforms like Shopify, WordPress, WooCommerce, Webflow, and thousands of other technologies.
The platform provides practical filtering tools that allow users to narrow results by country, TLD, industry, or specific technology combinations. This makes it useful for building targeted lead lists, researching competitors, discovering niche markets, or identifying companies using certain software stacks for outreach and partnerships.
StackScan also supports bulk data downloads, keyword-based website discovery, and structured reporting to simplify large-scale research workflows. With continuously refreshed datasets and scalable search capabilities, it enables marketers, agencies, analysts, and growth teams to access actionable web intelligence quickly and efficiently.
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StackScan's answer
StackScan focuses on practical usability, broader stack coverage, advanced filtering, and scalable exports without unnecessary complexity. Users can quickly generate highly targeted datasets using filters like country, TLD, industry, and technology combinations, making research and lead generation faster and more precise.
StackScan's answer
StackScan combines technology stack discovery and keyword-intent research in a single platform, allowing users to find websites not only by the tools they use but also by what they are targeting online. With coverage across 50,000+ technologies and 100M+ domains, it provides scalable, filterable, and export-ready web intelligence.
StackScan's answer
StackScan is built for marketers, growth teams, agencies, sales teams, analysts, SaaS companies, and researchers who need structured web intelligence for prospecting, competitor analysis, market research, or technology adoption tracking.
StackScan's answer
StackScan was created to simplify the process of finding reliable website and technology data at scale. Existing solutions often felt limited, expensive, or difficult to use for targeted workflows, so StackScan was built as a practical and scalable platform that combines technology detection, keyword discovery, and bulk data access into one system.
StackScan's answer
StackScan is built using modern web technologies, large-scale crawling systems, distributed data processing, and technology fingerprinting engines designed to analyze and structure massive amounts of web data efficiently.
StackScan's answer
StackScan is used by agencies, SaaS businesses, growth teams, researchers, and data-driven organizations for lead generation, market intelligence, and competitive analysis across multiple industries.
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Based on our record, Laravel seems to be more popular. It has been mentiond 256 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Somewhere in the Laravel app you're running right now, there's a good chance an HTTP call goes out to OpenAI, Anthropic, or a local model. A chat feature, a summarizer, an agent that triages support tickets. Laravel 13 shipped in March 2026 with first-party AI primitives and the framework now literally brands itself as being for "Artisans and agents". The application layer has never been easier. - Source: dev.to / 17 days ago
I have written about Bloom Filters before in Bloom Filters Applied In Real Life Application - Laravel Prototype and made a prototype for it using Laravel. - Source: dev.to / about 1 month ago
# Laravel's homepage through the years Wayback-video https://laravel.com --scroll --interval year --crossfade 0.4 # Wikipedia, month by month, over its first decade Wayback-video https://wikipedia.org --scroll --interval month --from 2001 --to 2010 # Fast mode: Wayback's pre-captured PNGs only, no browser needed Wayback-video https://mozilla.org --wayback-screenshot year --scroll. - Source: dev.to / about 2 months ago
A common way to implement DDD in Laravel is to organize the app/ directory into three primary layers:. - Source: dev.to / 3 months ago
This post walks through how to build an Ansible repo to manage a production DigitalOcean setup: two Ubuntu droplets, six Laravel apps, a couple of PHP framework sites, and a Go microservices platform. The goal is to codify everything that was previously managed via manual SSH, without replacing the Deployer workflow that already handles app releases. - Source: dev.to / 5 months ago
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