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Sites similar to jeffcheng.org

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Jeffrey Cheng – A Blog about my journey into data science. — 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 Databases →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
jalajel.net 67 match
2 shared topics
Jalajel's Blog! | On being a full-stack data scientist en technology-and-computingWordPress robotsllmsaihumans emailphone none
scrippsdatascience.com 67 match
2 shared topics
Scripps Data Science en technology-and-computing robotsllmsaihumans emailphone none
jamieshive.com 66 match
2 shared topics
Jamie Shive – Data Scientist and Mathematician en technology-and-computingWordPress robotsllmsaihumans emailphone none
adamfowler.org 65 match
2 shared topics
Adam's Deep Technology Blog – It's all about the tech en databasesWordPress robotsllmsaihumans emailphone none
botan.dev 64 match
2 shared topics
Botan AHMAD | Senior Data Scientist en databases robotsllmsaihumans emailphone none
jeffreypliang.com 64 match
2 shared topics
Jeffrey Liang en databases robotsllmsaihumans emailphone none
singh3y.dev 63 match
2 shared topics
Abhishek Singh - Blog & Portfolio en databases robotsllmsaihumans emailphone none
jason-symons.com 63 match
2 shared topics
Jason Symons Impact Monitoring Data Consultant | Jason Symons en databasesWordPress robotsllmsaihumans emailphone none
culver.dev 63 match
2 shared topics
anthony.culver.dev en technology-and-computing robotsllmsaihumans emailphone none
webchoir.com 63 match
2 shared topics
WebChoir Home Page - Transform Data into Profit en technology-and-computing robotsllmsaihumans emailphone none
james-brooks.dev 63 match
2 shared topics
James Brooks — Senior BI Developer & Data Analyst en technology-and-computing robotsllmsaihumans emailphone none
waterbeardata.io 63 match
2 shared topics
Waterbear Data en technology-and-computing robotsllmsaihumans emailphone none
dilisym.org 62 match
2 shared topics
Data | MonolixSuite Documentation en technology-and-computing robotsllmsaihumans emailphone none
dilisymservices.org 62 match
2 shared topics
Data | MonolixSuite Documentation en technology-and-computing robotsllmsaihumans emailphone none
dilisymhelp.org 62 match
2 shared topics
Data | MonolixSuite Documentation en technology-and-computing robotsllmsaihumans emailphone none
dilisymhelp.com 62 match
2 shared topics
Data | MonolixSuite Documentation en technology-and-computing robotsllmsaihumans emailphone none
boostdatagh.com 62 match
2 shared topics
Boost Data Gh – Swift in delivery of data packages en technology-and-computingWordPressWooCommerce robotsllmsaihumans emailphone none
democonnetra.com 62 match
2 shared topics
Connetra | Data discovery through interactive visualizations 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:

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.