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Glob TechPower Foundation | Empowering Communities Through Technology — 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
cssuop.org ↗	72 match 1 shared topics	Computing Students Society \| Empowering Students Through Technology	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 1
theblondebyte.com ↗	71 match 1 shared topics	– the blonde byte – – Empowering Women Through Technology	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
accessandinclusion.news ↗	71 match 1 shared topics	Access and Inclusion Through Technology \| Scoop.it	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alliancefordigitalequality.org ↗	70 match 1 shared topics	Welcome to the Alliance for Digital Equality \| Empowering Communities Across The Digital Divide	en	technology-and-computing	robotsllmsaihumans	emailphone	none
5pointsolution.com ↗	70 match 1 shared topics	Empowering Agency Innovation & Safer Communities - Versaterm	en	technology-and-computing WordPress	robotsllmsaihumans	email phone	partial · 8
nobeahfoundation.org ↗	69 match 1 shared topics	Nobeah Technologies Foundation	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
whataboutseth.net ↗	69 match 1 shared topics	whataboutseth - Creating Smarter Solutions Through Innovation and Technology	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
eclipse.org ↗	69 match 1 shared topics	Eclipse Foundation \| Powering Open Innovation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
minoritytechfoundation.org ↗	69 match 1 shared topics	Minority Technology Foundation	en	technology-and-computing WordPress Square Online	robotsllmsaihumans	email phone	none
ctn-rtc.org ↗	68 match 1 shared topics	Capital Technology Network	Canada~ en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
dacsi.org ↗	68 match 1 shared topics	DACSi - Digital Actions for Community Sustainable Development	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ne-on.org ↗	68 match 1 shared topics	NE-ON \| Creative Digital Platform & Innovation Community	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
889992997.xyz ↗	67 match 1 shared topics	Exploring Technology Trends and Digital Innovation Insights	en	technology-and-computing	robotsllmsaihumans	emailphone	none
git-notifications.com ↗	67 match 1 shared topics	Technology Solutions & Innovation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
889993559.xyz ↗	67 match 1 shared topics	Exploring Technology Trends and Digital Innovation Insights	en	technology-and-computing	robotsllmsaihumans	emailphone	none
889993306.xyz ↗	67 match 1 shared topics	Exploring Technology Trends and Digital Innovation Insights	en	technology-and-computing	robotsllmsaihumans	emailphone	none
rehearserecord.com ↗	67 match 1 shared topics	Rehearse Record - Wishing You Innovation, Progress, and Breakthroughs in Technology	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
geekword.net ↗	67 match 1 shared topics	GeekWord: Empowering the Innovative Tech Generation	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8

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.