Amami

Amami

Analytics that lives inside your AI assistant

AnalyticsVercel DaySEOPrivacy
▲ 0 votes11 commentsLaunched Jul 16, 2026
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Daily #26Weekly #70
Amami screenshot 1

I built Amami because I was tired of tab-switching between Cursor and a browser tab just to check how many people visited my site. Amami is privacy-first analytics with native MCP support — you literally ask Codex/Claude "how's my traffic?" and get answers + recommendations without leaving your editor. No cookies, no consent banners, <2KB script. Start to use it now !

AI Analysis

📝 Summary

Amami is a privacy-first web analytics tool that integrates natively with AI assistants like Cursor and Claude via MCP support. Core features include querying traffic data, insights, and recommendations directly in your AI editor without tab-switching, a <2KB script, no cookies, and no consent banners. It solves the pain point of context-switching between code editors and browser analytics dashboards for developers and site owners. The USP is embedding analytics 'inside' your AI workflow for seamless, privacy-focused monitoring and actionable advice. Overall value proposition: effortless traffic insights within the tools developers already use daily.

📈 Market Timing

Favorable in 2025-2026 due to explosive growth in AI coding assistants (Cursor, Claude), increasing developer demand for integrated workflows, and rising privacy regulations pushing alternatives to cookie-based tools like GA. AI maturity enables natural language queries; economic focus on efficient indie/dev tools supports adoption. Excellent Timing.

✅ Feasibility

High feasibility. Technical difficulty is moderate: leverages existing analytics tech with added AI/MCP integration (protocol support). Low dev/operation costs due to lightweight script and privacy-by-design (no consent infrastructure). Minimal compliance risks without cookies; strong scalability as cloud SaaS. Fits solo builder profile but may need ongoing AI compatibility maintenance.

🎯 Target Market

Primary users: indie hackers, web developers, and makers using AI coding tools (Cursor/Claude), tech-savvy solo founders. Industries: software development, digital products. Geographic: global, concentrated in US/Europe. Core pain: inefficient tab-switching and privacy issues with traditional analytics. TAM is portion of growing $5B+ web analytics market; SAM/SOM smaller niche for AI-integrated privacy tools. High willingness to pay for time-saving, seamless integration.

⚔️ Competition

Low. Direct competitors: Plausible (plausible.io), Umami (umami.is), Fathom Analytics (usefathom.com), Simple Analytics (simpleanalytics.com). Advantages: unique native AI assistant integration for in-editor queries/recommendations, stricter no-cookie privacy, ultra-lightweight. Disadvantages: newer/less mature feature set, limited brand recognition, potentially narrower analytics depth compared to established players.

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