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SharePoint (and Project Server) Shenanigans | Articles on Office 365, Azure, SharePoint, Project Server & .NET throughout our daily lives… — 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
accessecm.com ↗	66 match 2 shared topics	AccessECM \| Sitecore, SharePoint, Coveo and Azure Solutions	United States~ en	cloud-computing WordPress	robotsllmsaihumans	email phone	none
azuresamurai.blog ↗	63 match 2 shared topics	Azure Samurai - Blog on my Path towards the Azure cloud, .NET and all things I find cool	en	cloud-computing	robotsllmsaihumans	emailphone	none
jasontaylor.dev ↗	63 match 2 shared topics	Jason Taylor — Software Architecture & .NET	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	partial · 8
melcher.dev ↗	62 match 2 shared topics	Melcher.dev - Azure, DevOps, Cloud Architecture and other stuff	en	cloud-computing	robotsllmsaihumans	emailphone	none
bmoore-msft.blog ↗	62 match 2 shared topics	ARM Template Sandbox – This blog is a collection of what I've learned (and continue to learn) working with Azure Resource Manager template deployments.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
mcpr.app ↗	62 match 2 shared topics	Observability-first proxy for MCP servers \| mcpr	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcpdeploy.dev ↗	62 match 2 shared topics	mcpdeploy – Deploy MCP servers in 30 seconds	en	cloud-computing	robotsllmsaihumans	emailphone	none
pyrzyk.net ↗	62 match 2 shared topics	About me - Łukasz Pyrzyk - Software Engineer, .NET & Cloud. Personal blog	en	technology-and-computing	robots llmsaihumans	emailphone	none
brazenbytes.com ↗	62 match 2 shared topics	BrazenBytes - Microsoft 365 Solution Experts	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2nfro.net ↗	62 match 2 shared topics	2nfro.net - IT Solutions	en	cloud-computing	robotsllmsaihumans	emailphone	none
dougperkes.com ↗	62 match 2 shared topics	Writings about business, technology and the cloud \| The Cloud Hero	en	cloud-computing	robotsllmsaihumans	emailphone	none
mcpbuilders.dev ↗	62 match 2 shared topics	Production MCP Servers & MCP Consulting \| mcpbuilders.dev	en	cloud-computing	robotsllmsaihumans	emailphone	none
blitzmcp.net ↗	62 match 2 shared topics	BlitzMCP – Turn Any API into an MCP Server Instantly – BlitzMCP	en	cloud-computing	robotsllmsaihumans	emailphone	none
acloudresume.com ↗	62 match 2 shared topics	aCloudResume \| Subhash Bohra - AWS Cloud Architect & Serverless Expert	en	cloud-computing	robotsllmsaihumans	emailphone	none
azureweekly.info ↗	62 match 2 shared topics	Azure Weekly: A free, weekly email newsletter all about Azure, curated by endjin	en	cloud-computing	robotsllmsaihumans	emailphone	none
jayashanker.app ↗	62 match 2 shared topics	Jayashanker Padishala - Software Engineer @ DocuSign \| C#/.NET/Azure, AWS, Java	en	cloud-computing	robotsllmsaihumans	emailphone	none
thomasmaurer.ch ↗	62 match 2 shared topics	Thomas Maurer - Thomas Maurer	Switzerland en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rodrigoasensio.com ↗	62 match 2 shared topics	Rodrigo Asensio - Cloud and Governance - Rodrigo Asensio	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.