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CS Emerging Scholars Programs – A home for resources for building and maintaining computer science Emerging Scholars Programs. — 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 Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
samagracs.com ↗	66 match 2 shared topics	SamagraCS \|A Computer Science Gateway for Mentee	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
csprime.org ↗	66 match 2 shared topics	CSPrime - Your Educational Compass for Computer Science	en	online-education	robotsllmsaihumans	emailphone	none
depedforum.com ↗	66 match 2 shared topics	DepEd Forum - Home of Free Resources for Teachers	en	education WordPress	robotsllmsaihumans	emailphone	none
bang-support-tutors.com ↗	65 match 2 shared topics	BANG Resources for Tutors	en	education	robotsllmsaihumans	emailphone	none
fcslessons.com ↗	65 match 2 shared topics	Family Consumer Science Lessons \| Home	en	education Weebly	robotsllmsaihumans	emailphone	none
digitalequitycenter.org ↗	65 match 2 shared topics	Digital Learning Resources \| Maine Digital Equity Center	en	online-education WordPress WooCommerce	robotsllmsaihumans	email phone	none
3mindslearning.com ↗	65 match 2 shared topics	Life Skills Education Programs for Students \| 3 Minds Learning	CA~ en	education Squarespace Magento	robotsllmsaihumans	emailphone	none
abcteach.com ↗	65 match 2 shared topics	abcteach \| Printable Worksheets & Teacher Resources	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alanstevens.com.au ↗	65 match 2 shared topics	The Science and Art of Reading People	AU en	online-education WordPress	robotsllmsaihumans	emailphone	none
csprinciples.io ↗	65 match 2 shared topics	Introduction \| Computer Science Principles	en	online-education	robotsllmsaihumans	emailphone	none
academia-lb.com ↗	65 match 2 shared topics	Academia – Books, Learning Resources, Tutoring Lebanon	en	education WordPress WooCommerce	robots llmsaihumans	emailphone	none
harbourlightlearning.com ↗	65 match 2 shared topics	Harbourlight Learning Press – Guiding Every Learner Home	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
harbourlightlearningpress.com ↗	65 match 2 shared topics	Harbourlight Learning Press – Guiding Every Learner Home	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
havefunwithlearning.com ↗	64 match 2 shared topics	Have fun with learning \| The best of the web learning resources at your fingertips	en	online-education WordPress	robotsllmsaihumans	emailphone	none
carolinerennier.com ↗	64 match 2 shared topics	Caroline Rennier - Portfolio \| Mastering Data Science	en	online-education	robotsllmsaihumans	emailphone	none
aaroneducation.com ↗	64 match 2 shared topics	Aaron Education - Learning Resources, Guides and Study Tips	en	education WordPress WooCommerce	robotsllmsaihumans	email phone	none
hb-digital.com ↗	64 match 2 shared topics	Hawker Brownlow Digital — CARS & STARS — Reading Comprehension	AU~ en	online-education Squarespace	robotsllmsaihumans	emailphone	none
discovery-learning.org ↗	64 match 2 shared topics	Discovery-Learning Association – Use engaging stories to help learners become their best selves	en	online-education 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.