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Data Literacy Consortium – Network of Practice for Building Data Culture — 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
virtee.io ↗	70 match 1 shared topics	VirTEE – A Community for building Virt-based TEEs	en	technology-and-computing Adobe Experience Manager	robotsllmsaihumans	emailphone	none
2martian.com ↗	67 match 1 shared topics	2Martian \| Building Digital Experiences	en	technology-and-computing	robotsllmsaihumans	emailphone	none
boba.network ↗	67 match 1 shared topics	Boba Network \| Hybrid Blockchain for Visionary Builders	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
mbroecheler.com ↗	67 match 1 shared topics	Matthias Broecheler \| Building High-Performance Data Systems and Teams	en	technology-and-computing	robotsllmsaihumans	emailphone	none
staffansprojects.com ↗	67 match 1 shared topics	Staffans projects – Building stuff, having fun!	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
datadrivens.org ↗	66 match 1 shared topics	datadrivens.org – “Turning data into impact.”	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
datamatastudios.com ↗	66 match 1 shared topics	Free Utilities, Premium Tools, Data Products & Consulting for Data Work	en	technology-and-computing	robots llmsaihumans	emailphone	none
datamacgyvered.com ↗	66 match 1 shared topics	Data macgyvered – Tackling data challenges with what you have on hand	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
datacollaborations.com ↗	66 match 1 shared topics	Home - Peer learning network for data collaborations	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
datadrivenapproach.dev ↗	66 match 1 shared topics	Data Driven Approach - Best data driven techniques & Hypothesis testing for software engineeers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datadisaggregation.org ↗	66 match 1 shared topics	We Are The Data \| Data Disaggregation Action Network – Breaking Down Aggregated Race & Ethnicity Data into the Building Blocks of Equity	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
buildingadevicelab.com ↗	66 match 1 shared topics	Building a Device Lab	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mazzabuilds.com ↗	66 match 1 shared topics	Mazza Builds	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datapupil.com ↗	66 match 1 shared topics	Kent Gray \| Data Engineer & Builder	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
dataliteracygeek.com ↗	66 match 1 shared topics	DataLiteracyGeek \| Creating a Data Literate World	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datadivas.org ↗	66 match 1 shared topics	Data Divas — The data community that ships	en	technology-and-computing	robotsllmsaihumans	emailphone	none
stefanocalzati.com ↗	66 match 1 shared topics	Stefano Calzati – Scholar working in data governance, philosophy and ethics of technology, digital cultures, ICT geopolitics.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
buildingbulletin.com ↗	66 match 1 shared topics	Building Bulletin - Communicate inside your building.	en	technology-and-computing	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.