DataWeaver.app

The Challenge

Researchers and analysts without programming skills needed a way to perform advanced statistical analyses — Factor Analysis, ANOVA, IRT, regression, and more — without learning R or Python. Existing tools were either too complex (SPSS, R) or too limited (Excel).

The Approach

I built DataWeaver as a browser-based SaaS platform that makes advanced statistics accessible through a point-and-click interface. Users upload their data, select an analysis method, configure parameters visually, and receive AI-powered interpretation of results in APA format — ready for publication.

Key Features

• 14+ statistical methods: Factor Analysis, ANOVA, IRT, regression, correlation, t-tests, and more
• AI-powered interpretation that explains results in plain language
• APA-formatted exports ready for academic publication
• Interactive data visualization with customizable charts
• Point-and-click interface — no coding required
• Freemium model: Free demo / Pro $120/mo / Team $599/mo

Results & Impact

• Launched as a live SaaS product serving researchers and analysts
• Reduced statistical analysis time from hours to minutes
• Achieved high user satisfaction with AI-generated interpretations
• Built complete platform as a solo developer from concept to production
• Established recurring revenue model with three pricing tiers

Key Metrics

Technology Stack