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The Codesters Data Science Journey – Documenting the journey, the projects, the tears — 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
trevorcroteau.com ↗	65 match 2 shared topics	Trevor-Croteau-Data-Portfolio \| This is a place for my journey through learning data science. I will include the code produced for each project of my mine as well as a brief description and the visualizations produced.	en	programming-languages	robotsllmsaihumans	emailphone	none
sillycodeproject.com ↗	65 match 2 shared topics	Silly Code Projects - a place to put the code thoughts	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
learnitwithben.com ↗	65 match 2 shared topics	BenSvin’s Portfolio \| Projects and Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
simpledotnet.com ↗	64 match 2 shared topics	SimpleDotNet.com - Powerful .NET Projects & Documentation	en	programming-languages	robotsllmsaihumans	emailphone	none
dsla.co.uk ↗	64 match 2 shared topics	David Sula » Project documentation and other uploads.	United Kingdom en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
simon-leistikow.com ↗	64 match 2 shared topics	Freelance C++ Developer & Data Scientist \| Simon Leistikow	Germany~ en	programming-languages	robotsllmsaihumans	emailphone	none
cwj.app ↗	64 match 2 shared topics	cwj - Vibe Coding Journey	en	programming-languages Spree Commerce	robotsllmsaihumans	emailphone	none
programming-drops.com ↗	64 match 2 shared topics	Programming Drops – Projects, Insights, and Research in Software Development	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
foertter.com ↗	64 match 2 shared topics	Fernanda Foertter – HPC Programmer, Data Scientist, Physicist, Developer Advocate, Aspiring Humanitarian	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
castor.org ↗	64 match 2 shared topics	The Castor Project	en	programming-languages	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	63 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
myopensourcejourney.com ↗	63 match 2 shared topics	My Open Source journey	en	programming-languages	robotsllmsaihumans	emailphone	none
programmingwithme.com ↗	63 match 2 shared topics	Programming With Me – Personal Programming Journey of a programmer	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
idlavs.com ↗	63 match 2 shared topics	Showcasing Life Experiences and Ongoing Projects \| IDLAVS	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
castleproject.org ↗	63 match 2 shared topics	Castle Project	en	programming-languages	robotsllmsaihumans	emailphone	none
prodbg.com ↗	63 match 2 shared topics	ProDBG – Debugging the way it's meant to be done	en	programming-languages	robotsllmsaihumans	emailphone	none
deepnet42.com ↗	63 match 2 shared topics	Explore computer science, the universe, and everything! \| DeepNet42	en	technology-and-computing	robotsllmsaihumans	emailphone	none
projectpezzos.com ↗	63 match 2 shared topics	Project Pezzos \| Technical journal	en	technology-and-computing	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.