I came to developer marketing as an engineer.
Engineering depth. I’ve built scrapers and the pipelines around them, so I know how web data is collected, where it fails and what it needs before an AI system can use it.
Original research. I test common assumptions in this field on production websites and publish the results, with the data, on the Doccraft blog.
Market knowledge. I follow the research, talks and products across the field, from anti-bot systems to search APIs, so I know which topics are covered and where the gaps are.
AI search and agents. More of your readers are now AI agents, coding assistants and AI search engines. I structure content so they explain and use your product correctly.
Many of my clients have worked with me for years.
- Scrapers
- Apify
- ScrapeOps
- Bright Data
- Scrape.do
- HasData
- Decodo
- Scrapingdog
- Evomi
- Live Proxies
- ScrapingAnt
- ScrapingBee
- Gologin
- HypeProxies
He had great ideas for new types of content and always produced top quality material on time.
How I work
Developers judge content against their own experience with a product. I use your product the way they do before planning anything, so everything, from strategy to code samples, matches what developers find when they try the product.
I plan the work with your product, engineering, developer relations, marketing and SEO teams, then handle it from research to delivery, so your team reviews finished work instead of managing it.
For SEO, Reddit and social media, I partner with DevMarkLab, Divanshu Khatter’s developer marketing agency for devtools. We plan each program jointly, so the channels and the content follow the same strategy. Divanshu and I first worked together on Scrapingdog’s content in 2024.