Open Analytics 0.7.0

Open source and AI-native web analytics

AnalyticsOpenAI DayData & AnalyticsStatistical Analysis

▲ 0 votes1 commentsLaunched Sep 18, 2026

Daily #4Weekly #103

Cookieless web analytics that shows which traffic brings revenue. Open source: self-host it for free or use our cloud. New since our first launch: • Polar revenue, alongside Stripe • AI referrals: visits from ChatGPT, Perplexity & co. • Filters, entry & exit pages, Google/Meta ad clicks • 15-minute charts in your timezone • Import from Umami Ask ChatGPT about your stats via our MCP server.

AI Analysis

📝 Summary

Open Analytics is an open-source, AI-native cookieless web analytics tool that reveals which traffic sources actually drive revenue. Core features include Stripe and Polar revenue tracking, AI referral detection from ChatGPT/Perplexity, filters, entry/exit pages, Google/Meta ad tracking, timezone-based 15-min charts, Umami import, and MCP server for querying stats via ChatGPT. It solves key pain points like cookie privacy concerns, poor revenue attribution, and lack of visibility into AI-generated traffic. Users can self-host for free or opt for cloud hosting. The value proposition is privacy-first, revenue-focused analytics enhanced by AI for actionable insights without vendor lock-in.

📈 Market Timing

In 2025-2026, market timing is favorable due to stricter global privacy regulations pushing cookieless solutions, rapid adoption of AI tools generating new referral traffic, and growing demand for open-source alternatives amid big tech distrust. Revenue attribution has become critical for SaaS/e-commerce efficiency. AI integration for analytics is maturing perfectly. This is Excellent Timing as user needs align with technological readiness and economic focus on ROI.

✅ Feasibility

High feasibility. Technical difficulty is manageable using standard web tech and open-source frameworks; self-hosting via Docker lowers barriers. Development and operation costs are low for the core product, with cloud scalability via standard hosting. Minimal supply chain risks as it's pure software. Privacy compliance is built-in as a strength. Good scalability potential for cloud tier. Key risks are building reliable AI features and maintaining community support, but overall highly feasible for a skilled team.

🎯 Target Market

Main segments: SaaS founders, indie hackers, e-commerce operators, digital marketers, and privacy-conscious developers. Industries: Software-as-a-Service, online retail, content/publishing. Geographic: Global with strong EU demand (GDPR), North America, and tech-savvy users worldwide. Estimated market: Web analytics TAM ~$15B+, SAM for privacy/open-source tools ~$2B, SOM for revenue/AI niche ~$300M. Core pains: Inability to link traffic to actual revenue, cookie consent fatigue, missing AI traffic insights. Willingness to pay: High for cloud convenience (subscription), strong free self-host adoption.

⚔️ Competition

Medium. Direct competitors: 1. Plausible (plausible.io) - privacy-focused simple analytics; 2. Umami (umami.is) - open-source analytics with similar self-hosting; 3. Matomo (matomo.org) - comprehensive open-source suite; 4. Fathom Analytics (usefathom.com) - lightweight privacy analytics; 5. Pirsch (pirsch.io). Advantages: Unique revenue tracking (Stripe/Polar), AI referrals and ChatGPT query feature, Umami import. Disadvantages: Earlier stage (v0.7.0) may mean less polished UI/features, smaller ecosystem than Matomo. Strong differentiation in AI-native revenue focus reduces direct pressure.

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