A/B Testing
Run an A/B test on a landing page without an Optimizely-sized budget.
Enterprise A/B testing tools were priced for teams, not a solopreneur running experiments across 100+ pages.
A public deployment is available to try.
Case Study
Before
Optimizing conversion rates across portfolio pages required data-driven A/B testing. Enterprise tools like Optimizely were too expensive for a solopreneur managing 100+ pages.
After
Enabled data-driven page optimization without SaaS costs. The built-in statistical engine flags when a result is actually significant instead of eyeballing a small sample size.
How it's solved
Built a lightweight A/B testing framework with variant management, statistical significance calculation, automatic traffic splitting, and a results dashboard. Supports multi-variant tests with configurable duration.
Trade-offs
No multi-armed bandit optimization — traffic splits stay fixed for the test's full duration.
Related Articles
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Building 100 Micro-Frontends: Lessons from a Solopreneur Journey
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AI Integration Patterns for Web Developers: A Practical Guide
Practical patterns for integrating AI into web applications — from prompt engineering and streaming responses to building AI-powered tools that solve real user problems.
Onlook: The Cursor for Designers - AI-Powered Design Tool
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