October is a visual AI‑driven platform that lets product teams create and test multiple UI/UX variants for web and mobile apps, automatically linking experiments to analytics like PostHog. It runs controlled A/B tests, identifies the winning variant, and generates production‑ready code that can be merged via GitHub, streamlining the path from hypothesis to deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams often struggle to efficiently create, test, and deploy variations of user-facing features such as onboarding flows, paywalls, or pricing pages, leading to slow iteration cycles and reliance on manual A/B testing processes that produce reports but not production-ready code.
Solution
October provides a visual AI‑driven canvas that lets teams generate multiple product variants, automatically hook into analytics (e.g., PostHog), and run controlled experiments on apps and websites. The platform tracks defined target metrics, compares outcomes across variants, and produces the winning implementation as ready-to‑merge code. By integrating with version‑control systems like GitHub, October streamlines the path from hypothesis to shipped change, eliminating the gap between test results and production deployment. The workflow supports both manual and AI‑generated variants, allowing rapid experimentation while retaining human oversight before release.
Target Audience
October is aimed at product managers, growth teams, and engineering squads building web or mobile applications who need a fast, data‑driven way to test and ship UI/UX changes.
Features
- AI‑assisted generation of UI and flow variants for onboarding, paywalls, pricing, checkout, landing pages, and AI prompts
- Built‑in A/B testing engine that connects to PostHog analytics for real‑time metric collection
- Automatic conversion of winning variant into production‑ready code with GitHub integration
- Visual canvas for designing experiments without writing code, supporting both self‑serve and forward‑deployed team models
- Support for a wide range of experiment surfaces, including recommendation logic, push timing, and search ranking
- Public API and October Themes to enable AI coding tools to understand and extend the experimentation ecosystem