Authors
Meet the team behind TechnologyChecker. Our experts in technology intelligence, sales, and product marketing.

Mehmet Suleyman
CEO & Co-founder

Elif Arslan
CMO & Co-founder

David Thomson
CTO

Sophie Clarke
Product Marketing Manager

Emma Davies
Data Analyst
About our
authors.
Who writes the content on TechnologyChecker?
Five people. All in-house. No freelancers, no ghostwriters. The team includes a former Microsoft engineer who worked on Bing and AI, a CTO who spent five years at Google Search, an MBA from London Business School, a certified product marketer, and a data science graduate from Cardiff University. They write about what they've actually built and worked on.
Why should I trust the authors at TechnologyChecker?
Because they've done the work. Our CEO built the detection systems at Microsoft before starting this company. The CTO architected crawling infrastructure at Google. The CMO ran B2B growth campaigns that drove 400% organic traffic increases. Between them, that's 49 years of professional experience. Every statistic we publish comes from our own scans of 50M+ domains, not scraped from someone else's report.
How much effort goes into each blog post?
Roughly 15 to 25 hours per post. We start by querying our database of 50 million domains, then cross-reference the numbers in ClickHouse for accuracy. After that comes the actual writing, editing, data visualizations, and SEO checks. A second person reviews the draft before it goes live. Nothing gets published the same day it's written.
How much effort goes into each technology page?
More than you'd think. Each one takes 30 to 40 hours. We run ClickHouse queries for usage history, industry breakdowns, company sizes, and geographic data. We pull market share numbers, track customer migrations between competitors, map tech stack overlaps, and scrape G2 review sentiment. Only after all that data is collected do our authors sit down to write the analysis and FAQs.
What is E-E-A-T and how do your authors demonstrate it?
It's Google's way of judging content quality. The letters stand for Experience, Expertise, Authoritativeness, and Trustworthiness. For us, that means our authors have actually worked at companies like Microsoft and Google (experience), hold degrees in Computer Engineering, Data Science, and MBAs (expertise), built the detection systems that generate our data (authority), and cite first-party statistics you can verify on the site (trust).
Do your authors have real industry experience?
Yes. Mehmet worked on Bing search and Microsoft's AI team. David spent five years on Google's Search infrastructure. Elif graduated from London Business School and is HubSpot Inbound Marketing certified. Sophie holds a Pragmatic Institute product marketing certification. Emma has a Google Data Analytics Professional Certificate and a Tableau certification. These aren't vague "industry backgrounds." They're specific roles at specific companies.
How do you ensure the accuracy of published content?
Three checks. First, the author runs live queries against our ClickHouse database (the same system that scans 50 million domains monthly). Second, a peer reviewer verifies every statistic against the source query. Third, an editor reads the whole piece for clarity and unsupported claims. If any number changes between writing and publishing, we update it before the page goes live.
Can I see each author's credentials and background?
Yes. Click any author card above and you'll land on their profile page. It shows their role, where they studied, how long they've been working, what they specialise in, and what they've published on this site. No hidden bylines.
Editorial
standards.
We think you should know how we make the content on this site. Here's the short version.
Where the data comes from
Every number on this site comes from our own infrastructure. We scan 50 million domains monthly using ClickHouse, cross-reference LinkedIn company data for firmographics, and pull market share figures from our detection API. We don't scrape other people's reports or make up estimates. If we cite an external source, we link to it.
How we write
A blog post goes through five people before it's published. The author writes the first draft using live data queries. A second person checks the numbers against the source queries. An editor reviews for clarity. Then someone on the product team reads it to catch anything misleading. Nothing ships the same day it's written.
Independence
We sell technographic data and domain lookup tools. That's our business. Our blog and technology pages aren't marketing copy for those products. When we compare tools or rank technologies, the rankings come straight from detection counts, not sponsorship deals. We don't accept paid placements in our reports.
Corrections
We get things wrong sometimes. When that happens, we fix the page and note what changed. If a data point shifts between the time we wrote the article and when you're reading it, the live tables on our technology pages will already reflect the updated numbers. Static claims in blog posts get updated during our monthly review cycle.
Who's behind it
Every article has a named author with a profile page on this site. You can see their background, credentials, and everything else they've written. No anonymous bylines, no "Staff Writer" placeholders. If someone's name is on it, they actually wrote it.
Questions about our editorial process? Get in touch. Last updated: March 2026.