Building Dexcripter: Lessons From Month One
What broke, what worked, and what I'd do differently starting an AI × SEO tool from scratch.
1 min readPersonal
Month one of building Dexcripter was humbling. I started with grand ideas — a full AI-powered SEO audit suite, automated content optimization, competitor gap analysis. By week two, I'd scaled back to one core feature: helping brands understand how search engines actually see their pages.
The tech stack came together quickly: a Python backend with FastAPI, crawling with Playwright, LLM analysis via a few different models. The hard part wasn't the code — it was defining what "helpful" actually means for someone doing SEO.
Three things I learned: (1) Ship one small thing, not a suite. (2) Talk to potential users before writing a single line of code. (3) Crawlers break in ways you cannot predict. Edge cases are the whole game.
I also learned that building in public is terrifying and effective. Every time I tweeted about a feature, I felt accountable to actually finish it. Month two is about getting the first beta into someone's hands.