Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to woosuklee.com

Woosuk Lee - Microsoft Applied Sciences Group · ranked by shared content topics & relevance
67match
themicrosoftplatform.net
The Microsoft Platform
1 shared topicstechnology-and-computing
66match
andrewconnell.com
Andrew Connell | Microsoft MVP
1 shared topicstechnology-and-computing
66match
andrewconnellinc.com
Andrew Connell | Microsoft MVP
1 shared topicstechnology-and-computing
66match
networksciences.com
Network Sciences :Home
1 shared topicstechnology-and-computing
65match
benjaminniaulin.me
Benjamin Niaulin - Microsoft Regional Director and MVP
1 shared topicstechnology-and-computing
65match
crmspecialist.co.uk 🇬🇧
SAM7 – Microsoft Dynamics 365
1 shared topicstechnology-and-computing
65match
cloudjgs.com
PROVE by JGS | Microsoft 365 CIS Evidence Binder
1 shared topicstechnology-and-computing
65match
adamcogan.net
Adam Cogan - Microsoft Regional Director | Scrum Master | Speaker
1 shared topicstechnology-and-computing
64match
hartdatascience.co.uk 🇬🇧
Hart Data Science
1 shared topicstechnology-and-computing
64match
365calling.com
Unleash Call Routing for Microsoft Teams | Contango
1 shared topicstechnology-and-computing
64match
emsgroup.co.uk 🇬🇧
EMS Group
1 shared topicstechnology-and-computing
64match
do4ds.com
DevOps for Data Science
1 shared topicstechnology-and-computing
64match
guidestomicrosoft.com
A guide to Microsoft Products |A guide to Microsoft Products
1 shared topicstechnology-and-computing
64match
thescienceofprojects.com
THE SCIENCE OF PROJECTS
1 shared topicstechnology-and-computing
64match
federicoporceddu.com
Federico Porceddu — A Microsoft 365, SharePoint & Copilot Blog
1 shared topicstechnology-and-computing
64match
key-datasupport.co.uk 🇬🇧
Microsoft – AI, Cloud, Productivity, Computing, Gaming & Apps
1 shared topicstechnology-and-computing
64match
cloudtalentworks.com
CloudTalentWorks - Premier Microsoft Technology Freelancer Platform
1 shared topicstechnology-and-computing
64match
divnivan.com
InfoScienceInc
1 shared topicstechnology-and-computing

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:

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.