Open Analytics vs Human Behavior

A side-by-side look at what Open Analytics and Human Behavior publish about pricing, plans and features.

This page sets the two products' recorded data side by side. It is not an editorial review — nobody has tested either product for this page, and the figures below are not independently verified. Read how we handle data and what each label means.

Values as recorded in this guide. Where a figure carries no source, it is marked unverified — confirm on the vendor's own pages before acting on it.
FieldOpen AnalyticsHuman Behavior
CategoryAnalyticsAnalytics
Entry price$9/moNot published
Free planYesNo
Free trialNoNo
Tagged forStartupsStartups
ProductHunt 256276
From ProductHunt, checked 31 Aug 2026

Where they differ

  • Open Analytics lists a free plan; Human Behavior does not.
  • Human Behavior does not publish an entry price; pricing is quote-based.

Head to head

Open Analytics

Open Analytics is an open-source, privacy-first web analytics platform designed as an AI-native alternative to Google Analytics. It offers real-time visitor tracking, funnels, and revenue analytics, including Stripe integration, using a lightweight, cookieless script. The platform prioritizes GDPR compliance without requiring consent banners and supports AI tool integration. Users can self-host the solution or opt for a hosted version, providing flexibility and data ownership. It aims to deliver comprehensive insights while respecting user privacy.

Reported strengths

  • Strong focus on privacy and cookieless tracking
  • Integrates revenue attribution directly with analytics
  • Open-source and self-hostable for full data control

Reported drawbacks

  • Relatively young platform compared to established alternatives
  • May require more technical setup for self-hosting
  • Limited public reviews and community compared to mature tools

Human Behavior

Human Behavior, based in San Francisco, CA, develops a vision AI platform that analyzes user web session replays to provide companies with deep insights into product interaction, conversion, and churn. The platform helps product teams identify bugs and understand user behavior without manual effort, aiming to evolve into automated QA and support tools. It was founded in 2025 by Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya.

Reported strengths

  • Automates analysis of session replays
  • Offers deep insights into user behavior
  • Identifies bugs without manual effort

Reported drawbacks

  • No public pricing available
  • Relatively new company (founded 2025)
  • Limited public reviews and ratings