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Evidence and Learnings – Documenting triumphs and failures of a career in Learning & Teaching. — 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
lanlfoundation.org ↗	66 match 1 shared topics	LANL Foundation – Investing in Learning & Human Potential	en	education WordPress	robotsllmsaihumans	emailphone	none
sammiescott.com ↗	66 match 1 shared topics	Sammie Scott – Experiments in learning, earning and giving, for living your best life	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cravencc.edu ↗	65 match 1 shared topics	Craven Community College - Purpose-driven teaching and learning for Craven County.	en	education Drupal	robotsllmsaihumans	emailphone	none
ferngrovelearning.com ↗	65 match 1 shared topics	Fern Grove Cooperative Learning – where learning meets nature.	en	education WordPress	robotsllmsaihumans	emailphone	none
meaghantownsend.com ↗	65 match 1 shared topics	Meaghan Townsend – Writing and teaching.	en	education WordPress	robotsllmsaihumans	emailphone	none
luudisk.com ↗	65 match 1 shared topics	Jo Chrona \| on a journey in learning and life	en	education WordPress	robotsllmsaihumans	emailphone	none
mdbiolab.org ↗	65 match 1 shared topics	Learning Undefeated: Creating Pathways To Build STEM Identity - Learning Undefeated	en	education WordPress	robotsllmsaihumans	emailphone	none
mdbiofoundation.org ↗	65 match 1 shared topics	Learning Undefeated: Creating Pathways To Build STEM Identity - Learning Undefeated	en	education WordPress	robotsllmsaihumans	emailphone	none
badblackademique.com ↗	65 match 1 shared topics	Bad Blackadémique – Learning without anguish, Teaching without fear, Creating without limits	en	education WordPress	robotsllmsaihumans	emailphone	none
thewanglab.com ↗	64 match 1 shared topics	The NL3 Wang Lab – Neuroimaging for Language, Literacy and Learning Lab	en	education WordPress	robotsllmsaihumans	emailphone	none
bezosfamilyfoundation.org ↗	64 match 1 shared topics	Bezos Family Foundation \| Championing the Science of Learning	en	education WordPress	robotsllmsaihumans	emailphone	none
acel.pro ↗	64 match 1 shared topics	ACEL-Pro \| Maths evidence and professional judgement	en	education	robotsllmsaihumans	emailphone	none
splatph.com ↗	64 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
splat.ph ↗	64 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
splat-ph.com ↗	64 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
blisom.org ↗	64 match 1 shared topics	My Learning Center – Experience \| Empower \| Engage	en	education Weebly WooCommerce	robotsllmsaihumans	emailphone	none
totalapexuniversity.com ↗	64 match 1 shared topics	Total Apex University – Training Writers. Launching Careers.	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
indeliblelearning.com ↗	64 match 1 shared topics	Indelible Learning - a community for gifted learners & families	en	education WordPress WooCommerce	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.