Wappalyzer
BuiltWith
WhatRuns
Similar Tech
What CMS
Fork.ai
PublicWWW
Webspotter
ContextForge.dev
Agentmemory
OpenMemory MCP
Sell and market more effectively with technographic insights. Wappalyzer tracks over a thousand technologies across websites of millions of companies to help you to identify new prospects and increase your addressable market.
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Wappalyzer ContextForge.devContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
Based on our record, Wappalyzer seems to be more popular. It has been mentiond 4 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.
I want to replicate something like this. I've tried https://whatcms.org https://bundlescanner.com https://builtwith.com https://wappalyzer.com to learn. It looks like Jquery Ui to me. Can someone help me please? Source: about 3 years ago
You can use https://wappalyzer.com to check what technology the website use. Source: over 3 years ago
The next and final thing to add is the tech stack of the portfolio website. You can use wappalyzer, or any other service you know to detect the stack. - Source: dev.to / about 4 years ago
For the prospecting, I've been playing around with it for a few days but it can definitely improve. Im targeting about 40-70k monthly visitors and for reaching them I use wappalyzer.com and target adsense users with mid level traffic according to them + I use sales nav to scrape the leads of people who have travel writer or food writer on their linkedin bio but the down side of that is you cant tell how big they are. Source: almost 5 years ago
BuiltWith - Find out the technology behind websites
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
WhatRuns - Extension that helps you identify technologies used on any website at the click of a button.
OpenMemory MCP - Your private, local memory layer for all AI tools
Similar Tech - SimilarTech offers a Sales Insights platform which helps companies uncover their ideal market by crawling the sourcecode of over 300M sites.
What CMS - WhatCMS.org looks at a variety of factors within a webpage to determine what CMS a website is using.
