Amami

Product Introduction

1. Definition: Amami is a privacy-first, cookie-free web analytics platform designed specifically for developers and technical teams. It falls into the technical categories of lightweight analytics, GDPR-compliant tracking, and AI-native developer tools.
2. Core Value Proposition: Amami exists to eliminate the disruptive workflow of context-switching between code editors and analytics dashboards. Its core value is delivering real-time, actionable traffic insights and optimization tips directly within AI coding environments like Cursor, Claude Code, and via the Model Context Protocol (MCP), making it the fastest Google Analytics alternative for developers who prioritize privacy and efficiency.

Main Features

1. Native MCP (Model Context Protocol) Integration: This feature allows AI assistants to query analytics data directly. How it works: Developers install the Amami MCP server, which then allows their AI coding assistant (e.g., within Cursor) to access analytics APIs. Users can ask natural language questions like "how's my traffic?" or "show me top pages from last week" and receive parsed, textual answers and code optimization suggestions without opening a browser.
2. Privacy-First, Cookie-Free Tracking: Amami collects metrics without using cookies or persistent identifiers, ensuring immediate GDPR, CCPA, and PECR compliance. The technology uses a combination of server-side fingerprinting (hashing IP and User-Agent) for unique session counting and relies on first-party data only, avoiding the need for a cookie consent banner. This approach respects user privacy while providing accurate aggregate traffic data.
3. Ultra-Lightweight Script (<2KB): The Amami tracking script is engineered for minimal performance impact. At under 2 kilobytes (over 20x lighter than a standard Google Analytics 4 installation), it loads asynchronously and executes faster than traditional analytics scripts. This results in improved Core Web Vitals scores, particularly Largest Contentful Paint (LCP) and Total Blocking Time (TBT), directly benefiting SEO.
4. Real-Time Dashboard & Essential Metrics: The platform provides a clean, developer-focused dashboard displaying real-time and historical data. It tracks essential web analytics metrics including unique visitors, page views, bounce rate, session duration, and traffic sources. The interface is designed for quick comprehension, stripping away the complexity of enterprise-grade tools to show only what matters for shipping and iterating on products.

Problems Solved

1. Pain Point: Disrupted developer workflow and productivity loss caused by constantly switching between an integrated development environment (IDE) and a web browser to check analytics dashboards.
2. Target Audience: Primary personas include SaaS founders who code, full-stack developers, indie hackers, and technical product managers who use AI-powered editors like Cursor or Claude Code daily and need to make data-informed decisions quickly.
3. Use Cases: A developer is implementing a new feature in Cursor and wants immediate feedback on its usage after deployment. A founder is writing marketing copy in their editor and needs to check which blog post is driving the most sign-ups without breaking focus. A technical team needs to ensure their new landing page is GDPR-compliant without implementing complex cookie consent management.

Unique Advantages

1. Differentiation: Unlike Google Analytics 4, which is complex, heavy, and requires browser access, Amami is lightweight, privacy-compliant by default, and IDE-integrated. Compared to other minimalist analytics tools (like Plausible or Fathom), Amami's unique differentiator is its deep, native integration with AI coding workflows via MCP, creating a seamless analytics loop within the development environment.
2. Key Innovation: The key technological innovation is the seamless integration of analytics querying into the AI-assisted development workflow through the Model Context Protocol. This moves analytics from a separate dashboard into a conversational interface within the tool where code is written, fundamentally changing how developers interact with product data.

Frequently Asked Questions (FAQ)

1. Is Amami a GDPR-compliant analytics tool? Yes, Amami is GDPR-compliant out of the box. It does not use cookies, does not collect personal data, and does not require a cookie consent banner, as it operates on a privacy-by-design principle using anonymized, first-party data.
2. How does Amami's MCP integration work with Cursor? After setting up the Amami MCP server, you can ask your AI assistant in Cursor direct questions about your website traffic. The assistant uses the MCP connection to fetch data from your Amami account and presents the answers conversationally, along with relevant optimization tips for your code.
3. What are the main benefits of a sub-2KB analytics script? A script under 2KB significantly improves website loading speed and Core Web Vitals metrics, which are direct Google ranking factors. It reduces bandwidth usage, improves user experience, and provides accurate analytics without penalizing your site's performance, unlike heavier scripts like GA4.
4. Can Amami replace Google Analytics for a SaaS business? Amami is an excellent Google Analytics alternative for SaaS businesses and developers who need fast, privacy-focused insights on key metrics like traffic and engagement. For teams requiring advanced user journey tracking, complex conversion funnel analysis, or deep integration with Google Ads, a more feature-rich tool may still be necessary alongside Amami.