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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.
X (Twitter) StackScanNo StackScan videos yet. You could help us improve this page by suggesting one.
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.
Pretty nice app to share and to see how the people share the thoughts here
While itโs still in early stage, its lifetime deal is really a great value. Must get if youโre into lead generation.
Based on our record, X (Twitter) seems to be more popular. It has been mentiond 906 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.
Then, and this is my personal favorite, go to Twitter slash X, where a genuinely absurd amount of the best UI work gets posted before it lands anywhere else. - Source: dev.to / 19 days ago
Of all the many ways to automate that redirect, https://einaregilsson.com/redirector/ isn't bad.- Source: Hacker News / 22 days agoRedirect: https://x.com/*.
Video posted in English on x.com, and below is the translated video URL in Hindi. - Source: dev.to / 3 months ago
# main.py Import time From datetime import datetime, timezone From config import HIRING_PHRASES, NICHE_TERMS From scraper import search_tweets, build_query From filter import is_real_hiring From storage import open_db, is_new, mark_seen SLACK_WEBHOOK = "https://hooks.slack.com/services/..." # optional Def notify(tweet: dict): user = tweet["user"]["username"] msg = ( f"*@{user}*... - Source: dev.to / 4 months ago
X status IDs (the trailing number in https://x.com//status/) are 64-bit Twitter snowflakes. The high bits encode a millisecond timestamp relative to a fixed Twitter epoch. The low bits are a worker ID and a sequence counter. The shape gives us four cheap, independent signals. - Source: dev.to / 4 months ago
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
BuiltWith - Find out the technology behind websites
Instagram - Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.
Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.
Reddit - Reddit gives you the best of the internet in one place. Get a constantly updating feed of breaking news, fun stories, pics, memes, and videos just for you.
W3Techs - W3Techs provides information about the usage of various types of technologies on the web.
