
StackScope
See what new sites are built with, the week they launch

See which sites started using Stripe, Shopify or Next.js this week. Most of what we index we find ourselves: over 2.2+ million sites from public infrastructure signals, not submitted to us, across 40,000+ technologies. When we reach a launch before the boards, we're 14.5 days early. Browsing is free. Paid plans add Stackdar alerts, API access, bulk export with published contact details, and an MCP server for Claude, ChatGPT and Cursor.
AI Analysis
StackScope allows users to discover new websites and the technologies they launch with (e.g., Stripe, Shopify, Next.js) in the same week. It indexes 2.2+ million sites from public infrastructure signals across 40k+ technologies, detecting launches 14.5 days earlier than other boards. Free browsing; paid plans include Stackdar alerts, API access, bulk exports with contact details, and an MCP server for Claude, ChatGPT, and Cursor. It solves pain points of delayed market signals and time-consuming manual research for timely tech adoption intelligence. USP is proactive, signal-based discovery rather than user submissions. Value proposition: deliver early competitive and sales intelligence to stay ahead.
In 2025-2026, booming AI agents, no-code/low-code growth, and demand for real-time competitive intelligence align perfectly with StackScope's data and MCP AI integrations. Rising SaaS/e-commerce adoption increases need for early tech stack signals amid economic pressures for efficient lead gen. Technology for large-scale signal detection is mature. Excellent Timing.
High. Technical detection via public signals (headers, scripts, DNS) is established but requires substantial crawling infrastructure and continuous updates. Development/operation costs are medium-high for data scale; compliance risks exist around scraping legality and privacy. Strong scalability via cloud; current product existence shows proven feasibility with good team fit for dev tools.
Main segments: SaaS growth marketers, sales teams, indie hackers, VC analysts, and developers tracking trends. Industries: marketing, software, e-commerce. Primarily US/Europe-based but global reach. TAM for tech intelligence/market research ~$5B+, SAM for tech-stack tracking ~$800M, SOM ~$50M. Core pains: missing early adopter signals for outreach and slow manual discovery. High willingness to pay for alerts, contacts, and API data that drive sales/insights.
Medium. Direct competitors: 1. BuiltWith (builtwith.com), 2. Wappalyzer (wappalyzer.com), 3. WhatRuns (whatruns.com), 4. SimilarTech. Advantages: earlier weekly launch detection (14.5 days ahead), focus on new sites from public signals (not just submissions), bundled contact exports, and unique MCP server for AI tools. Disadvantages: newer entrant vs established databases, potentially less breadth in historical data, and reliance on paid upgrades for full utility. Strong differentiation in timing and AI integration reduces pressure.
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