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Erik Bryn - Ember.js Training, Ember.js Consulting, and Ember.js Contracting — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mindsharpneuron.digital ↗	65 match 2 shared topics	Node.js Training Bangkok \| MindSharp Neuron	en	vocational-training	robotsllmsaihumans	emailphone	none
akshaydev.online ↗	64 match 2 shared topics	Akshay \| React JS Trainer & Frontend Developer	en	vocational-training	robotsllmsaihumans	emailphone	none
naknihsoftlabs.com ↗	64 match 2 shared topics	NakNih SoftLabs \| Software Solutions, DevOps & IT Training.	India~ en	vocational-training	robotsllmsaihumans	emailphone	none
stackdevnet.digital ↗	64 match 2 shared topics	StackDevNet Academy — Full-Stack Web Development Training \| stackdevnet.digital	en	vocational-training	robotsllmsaihumans	emailphone	none
algobridgeinfotech.online ↗	63 match 2 shared topics	AlgoBridge Infotech \| Global IT Training & Advanced Software Solutions	en	vocational-training	robotsllmsaihumans	emailphone	none
kbssitsolutions.com ↗	62 match 2 shared topics	KBSS IT SOLUTIONS \| Real - Time Software Development Training & Placement \| Software Services	en	vocational-training	robotsllmsaihumans	emailphone	none
kiezensoft.com ↗	62 match 2 shared topics	Welcome To Kiezen Soft \| Best Institute For React JS Training In Varanasi \| Best Internship Training Center In Varanasi \|Best Institute For IT Training In Varanasi \| asp.net Internship Training \| MVC Internship development Training \|C# Internship and Training \| C# Classes \|c++ Training Classes \|c Cl	en	vocational-training	robotsllmsaihumans	email phone	none
globaltechmentor.com ↗	61 match 2 shared topics	Full Stack Web Developer Course	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kcndigitals.com ↗	61 match 2 shared topics	KCN Digitals	en	vocational-training	robotsllmsaihumans	emailphone	none
naijaweb24.com ↗	60 match 2 shared topics	MTC Institute Digital Skill	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
kdtechpathshala.com ↗	41 match 2 shared topics	KD Tech Pathshala	en	vocational-training WordPress	robotsllmsaihumans	email phone	none
giovespace.com ↗	40 match 1 shared topics	Giove Space - Consulting & Training	en	vocational-training	robotsllmsaihumans	emailphone	none
mytrinityconsulting.com ↗	39 match 1 shared topics	Life and annuity sales training Newnan Ga Trinity Consulting	United States~ en	vocational-training Wix	robotsllmsaihumans	emailphone	none
reliableandready.com ↗	39 match 1 shared topics	Home \| Reliable and Ready Consulting & Training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
reliableready.com ↗	39 match 1 shared topics	Home \| Reliable and Ready Consulting & Training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
reliablenready.com ↗	39 match 1 shared topics	Home \| Reliable and Ready Consulting & Training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
aligra.net ↗	38 match 1 shared topics	aLigra Systems Software Engineering Training & Consulting	en	vocational-training	robotsllmsaihumans	emailphone	none
aligra.org ↗	38 match 1 shared topics	aLigra Systems Software Engineering Training & Consulting	en	vocational-training	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.