Game Insights review
A local-first toolkit for analyzing imported game data with funnels, cohorts, and AI assistance.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Game Insights is a local-first, open-source analytics application for indie game developers and game teams working with exported data. It runs on the web and can be self-hosted, with support for CSV, TSV, JSON, NDJSON, Excel, and SQLite imports. Files can be brought in through a file, URL, clipboard, or folder, while game-type detection and column mapping help prepare datasets for analysis. Multi-game management makes it suitable for teams comparing more than one title.
Its main strength is the range of analysis available after import. Game Insights includes funnel analysis, monetization and payer analysis, cohort analytics, anomaly detection, recommendations, custom dashboards, and AI-assisted analytics with question answering. The product also supports optional configuration for OpenAI, Anthropic, and Ollama, giving teams several paths for AI-assisted exploration. This breadth makes it more useful than a narrow dashboard viewer for teams that want to investigate progression, payer behavior, cohorts, and unusual patterns in one application.
The workflow is best suited to teams comfortable managing files and a local application. Data is persisted locally in the browser, and running the application from source requires Node.js and pnpm. That local-first approach fits self-hosters and developers who want control over imported datasets, but it is less suitable for teams seeking a verified live-collection workflow or centralized event pipeline. Choose Game Insights for flexible analysis of existing game data and a broad open-source feature set; choose another product if continuous collection is a primary requirement.
Game Insights pros and cons
- Where it wins
- Imports CSV, TSV, JSON, NDJSON, Excel, and SQLite files
- Covers funnels, monetization, cohorts, anomalies, dashboards, and AI analysis
- Supports local deployment with optional OpenAI, Anthropic, and Ollama configuration
- Where it doesn't
- Focused on imported datasets rather than verified live collection
- Requires Node.js and pnpm to run from source
- Browser-local persistence may not suit teams needing centralized data operations
Game Insights fact sheet, pricing and score →
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