A programmatic SEO engine grounded in real product data.
A product knowledge base (specs, features, pricing history, review extracts, category context) feeds a set of page templates: individual product reviews, head-to-head comparisons, category guides, best-for lists, and informational articles.
Every page is generated from the same grounded data, so ratings and specs stay consistent across the site. Rankings come from a structured scoring model run against real specs and review data, not arbitrary picks. The structured data approach allows content to scale automatically as new products and brands are added to the database.



A self-hosted scheduler that keeps the accounts posting.
Social is a funnel back to the site, but posting across accounts by hand eats hours. I run a self-hosted Postiz scheduler on Railway that posts two kinds of content: educational/informational posts written by Claude, and real-time deal posts that fire when a vacuum tracked on the site drops in price.
The deal posts pull live pricing from the site and render a programmatic Open Graph image tied to each URL, so the post looks designed without a manual design step. Caption copy is generated to match each platform's format.