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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.
Expensive, and the pricing model changed, but it just works. I hope more competitors release equally good quality to have a more fair pricing model in the longrun.
So Iโve been playing around with Claude for a bit, and hereโs the vibe:
Honestly, it feels way more chill than a lot of other AI tools. Itโs super polite, doesnโt jump into assumptions too fast, and gives responses that are easy to read like talking to a thoughtful friend rather than someone in a hurry. Itโs surprisingly good at breaking down complex stuff into simple terms without sounding condescending, which I really appreciate.
In terms of creativity, Claude does pretty well โ whether I ask for a poem, a short story, or help brainstorming ideas, it doesnโt just give cookie-cutter replies. Thereโs a bit of personality there, like it tries to make things interesting rather than just factual.
On the downside? Sometimes it plays it a bit too safe. If you push for a bold opinion or a more adventurous answer, itโll often stay in the middle-of-the-road lane. And for niche topics, itโs not always as sharp as some other models unless you give super clear instructions.
Also, itโs fast no long pauses or overcomplicated explanations which makes it nice for quick back-and-forth.
Claude Sonnet 3.5 is amazing for coding! I used to use the chat interface and copy-paste, but now I use aider.chat. Aider works in a git repo and forces Claude to only make the changes you requested. Changes are easy to revert.
A downside: Code is not always what I want. I try to make it do work in small chunks and this helps. Excels at writing boilerplate-y code that tends to be a little different on different websites.
Two helpful styles of prompts:
Using it for Python/Django/HTMX/AlpineJS. Django templates mixed with JS are no problem.
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, Claude AI seems to be more popular. It has been mentiond 99 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.
Have same issue, it redirect to https://claude.ai/login?returnTo=%2Fdesign then back and redirect to https://claude.ai/login?returnTo=%2Fdesign again, looping... - Source: Hacker News / 3 months ago
My prefered way of using a new mode is through Claude, but I believe Gemma4 has a different tool calling structure so it is not compatible yet, but you can use it with LMStudio, or skil all that because you can now. - Source: dev.to / 3 months ago
โ In 2024, Apple released a technical paper revealing that "Apple Intelligence" was trained on TPUs, bypassing NVIDIA entirely โ Top AI models like Claude (Anthropic), Midjourney, and Character.ai rely heavily on Google because they offer better performance-per-dollar for massive Transformer models. - Source: dev.to / 6 months ago
Drop an image into Claude or ChatGPT asking it to "recreate this." The result? The LLM guesses styles. Is that padding 16px or 24px? Is that blue #3b82f6 or #2563eb? Is the shadow 0 2px 8px or 0 4px 12px? Pure hallucination. - Source: dev.to / 6 months ago
AI tool (MCP Client) with a paid subscription is preferred - We use Claude with โpro planโ as an example. - Source: dev.to / 6 months ago
ChatGPT - ChatGPT is a powerful, open-source language model.
BuiltWith - Find out the technology behind websites
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.
Perplexity.ai - Ask anything
W3Techs - W3Techs provides information about the usage of various types of technologies on the web.