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Khalid Ansari's Blog | Microsoft Teams, SharePoint, Office 365, Azure and Some Other Stuff — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
melcher.dev ↗	66 match 2 shared topics	Melcher.dev - Azure, DevOps, Cloud Architecture and other stuff	en	cloud-computing	robotsllmsaihumans	emailphone	none
jaqto.com ↗	64 match 2 shared topics	Jaqto – Jaqto,Microsoft,Cloud,Microsoft 365,Azure,jaqto	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
sbsgroupusa.com ↗	64 match 2 shared topics	Microsoft Dynamics 365 Implementation and Support \| Velosio	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
schwettmanndigital.com ↗	63 match 2 shared topics	Schwettmann Digital — Next-Gen Microsoft & Cloud Solutions	en	cloud-computing	robotsllmsaihumans	emailphone	none
3yn.io ↗	63 match 2 shared topics	Leading High-Tech Company for Microsoft Services \| 3YN \| 3YN	en	cloud-computing	robotsllmsaihumans	emailphone	none
martinusconsulting.com ↗	63 match 2 shared topics	Martinus Consulting – Microsoft 365 Out of the Box by Martinus Consulting	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
jasetech.org ↗	63 match 2 shared topics	Thoughts and findings on Azure Local and Edge Technologies – Helping others with Edge and Azure Stack HCI	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
agrimpatil.com ↗	62 match 2 shared topics	Agrim Patil \| Cloud Infrastructure and Systems Research	en	cloud-computing	robotsllmsaihumans	emailphone	none
demiliani.com ↗	62 match 2 shared topics	Stefano Demiliani – Taking the Web out of the box: Microsoft Dynamics 365 Business Central, Microsoft Dynamics NAV, Azure, Serverless, Power Platform and all about the Microsoft's technology stack \| www.microsoftarchitects.com \| www.d365bc.com	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
javiercolumbie.com ↗	62 match 2 shared topics	Jose Javier Columbie \| Blog — XAF · Blazor · Azure · .NET	en	technology-and-computing	robotsllmsaihumans	emailphone	none
curtis-goolsby.com ↗	62 match 2 shared topics	Curtis' Blog \| Curtis' Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jakubsojka.com ↗	62 match 2 shared topics	Just another IT blog…	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
thomasquirke.com ↗	62 match 2 shared topics	Tom’s blog \| This is a place for me to blog about random things that I find interesting, or things that I think can help other people out.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csanchez.org ↗	62 match 2 shared topics	Carlos Sanchez's Weblog \| software at the end of the universe	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
janitvora.com ↗	62 match 2 shared topics	Janit Vora's Blog	en	cloud-computing	robotsllmsaihumans	emailphone	none
7onn.dev ↗	62 match 2 shared topics	🧙‍♂️ tom's blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
agyirey.net ↗	62 match 2 shared topics	Cadence Agyirey \| kubedoll.com - Software and Cloud Solutions Architect	en	cloud-computing	robotsllmsaihumans	emailphone	none
agyirey.com ↗	62 match 2 shared topics	Cadence Agyirey \| kubedoll.com - Software and Cloud Solutions Architect	en	cloud-computing	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.