Solo developer building DivParser, an AI‑powered web scraping platform. Creator of NestLang, an open‑source DSL designed to make AI‑generated extraction predictable and reliable. I love shipping fast, experimenting in public, and turning small ideas into real tools people can use. Currently building from The Gambia and proving you don’t need Silicon Valley to create something meaningful.
I build developer‑focused tools, languages, and infrastructure projects — mostly around AI‑powered web scraping, automation, and clean data extraction. My products are experiments that grow into real tools, from DSLs like NestLang to full scraping platforms like DivParser. I ship fast, iterate in public, and explore ideas that make the web more programmable for everyone.
DivParser is an AI‑powered web scraping platform built for developers who need predictable, structured data. It combines natural‑language scraping with NestLang — an open‑source DSL that guarantees consistent output across models. Whether you’re extracting products, articles, or custom data structures, DivParser turns messy web pages into clean JSON that won’t break your pipelines. JavaScript support is live, with Python on the way.
NestLang is an open‑source DSL designed for AI‑powered web scraping. It gives developers a predictable, declarative way to define the structure of the data they want from any website. Instead of relying on natural‑language prompts that can break pipelines, NestLang enforces consistent schemas across models, making extraction stable, repeatable, and production‑ready. It’s currently available for JavaScript, with a Python version on the way.