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David Burela | Landing site of David Burela, a Software Engineer working at Microsoft. Working on cloud & decentralised tech such as: Azure, decentralised web, Blockchain, IPFS, Ethereum. — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Cloud Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bart.je ↗	68 match 2 shared topics	Bart Jansen - Software Engineer at Microsoft	en	cloud-computing Ghost	robotsllmsaihumans	emailphone	none
danielfullerton.com ↗	68 match 2 shared topics	Software Engineer \| Daniel Fullerton	en	technology-and-computing	robotsllmsaihumans	emailphone	none
brodul.com ↗	67 match 2 shared topics	brodul's log - Software Engineer & Technology Consultant	en	technology-and-computing	robotsllmsaihumans	emailphone	none
essare.me ↗	66 match 2 shared topics	Ayoub Essare - Software Engineer & DevOps Specialist	en	cloud-computing	robotsllmsaihumans	emailphone	none
virajmavani.com ↗	66 match 2 shared topics	Viraj Mavani — Software Engineer	en	technology-and-computing	robots llmsaihumans	emailphone	none
om-mapari.com ↗	66 match 2 shared topics	Om Mapari - Software Engineer \| DevSecOps & AWS Cloud	en	cloud-computing	robotsllmsaihumans	emailphone	none
djordjenedovic.tech ↗	66 match 2 shared topics	Djordje Nedovic \| Senior Software Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
anilonay.com ↗	66 match 2 shared topics	Anil Onay - Software Engineering Notes	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
danibertranou.com ↗	66 match 2 shared topics	Dani Bertranou \| Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
danny-ken.com ↗	66 match 2 shared topics	Danny Ken - Software Engineer & Veteran	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdobiecki.com ↗	66 match 2 shared topics	Michał Dobiecki - Senior Software Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
henrikinnunen.com ↗	66 match 2 shared topics	henrikinnunen.com \| Here I share my thoughts on software engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
stack-drift.com ↗	66 match 2 shared topics	Stack Drift \| A curated stream of insights from a software engineering director navigating the evolving landscape of software development, cloud architecture, and technical leadership. From deep dives into distributed systems to practical dev notes and automation strategies, this blog bridges the ga	en	technology-and-computing	robotsllmsaihumans	emailphone	none
derbique.org ↗	66 match 2 shared topics	Austin Derbique - Cloud & Dev Tools Engineer	en	cloud-computing Spree Commerce	robotsllmsaihumans	emailphone	none
erwanleboucher.dev ↗	66 match 2 shared topics	Erwan Leboucher - Senior Software Engineer • Paris	France~ en	cloud-computing	robotsllmsaihumans	emailphone	full · 20
brunomatavelli.com ↗	66 match 2 shared topics	Bruno Matavelli - AWS Certified Lead Software Engineer & Architect	en	cloud-computing	robots llmsaihumans	emailphone	none
danieltameishi.com ↗	66 match 2 shared topics	Daniel Tameishi - AWS Software Engineer \| UW CS Graduate	United States~ en	cloud-computing	robotsllmsaihumans	emailphone	none
srehowto.com ↗	66 match 2 shared topics	SRE How-To - Hands-On Cloud Engineering & DevOps	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.