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Fernando Basso | Programming, command line, open source and all things Linux/*nix, networking and technology in general. — 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 Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
domslee.com ↗	67 match 2 shared topics	Dom’s Tech blog \| A blog for my programming projects and findings	en	programming-languages	robotsllmsaihumans	emailphone	none
devdiaries.net ↗	66 match 2 shared topics	Dev-diary - Programming tips, tricks, and news	en	programming-languages	robotsllmsaihumans	emailphone	none
dotnetway.com ↗	66 match 2 shared topics	DotNetWay \| Guide to Software Engineering, .Net Programming, and Cloud Computing	en	technology-and-computing Reaction Commerce	robotsllmsaihumans	emailphone	none
techbookreport.co.uk ↗	66 match 2 shared topics	TechBookReport - Developer Book Reviews : Programming, Software Methodologies, Linux, Software	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
0not.net ↗	66 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
clig.dev ↗	66 match 2 shared topics	Command Line Interface Guidelines	en	programming-languages	robots llmsaihumans	emailphone	none
badboi.dev ↗	66 match 2 shared topics	BadBoi.dev \| My name is John. I’m a software engineer who lives in The Bay. I do mostly frontend stuff for my job, but I like tinker with systems programming and other lower level things for fun. I’m currently interested in learning about Rust. I enjoy running, cycling, and eating.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kylejeske.com ↗	66 match 2 shared topics	Bit by Bit \| A blog about coding, technology, and software development.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
pakzilla.com ↗	66 match 2 shared topics	Pakzilla – Opinion and news on technology that matters	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
4dpiecharts.com ↗	65 match 2 shared topics	4D Pie Charts \| Scientific computing, data viz and general geekery, with examples in R and MATLAB.	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
p-not-doom.com ↗	65 match 2 shared topics	Snehal Reddy - Systems Programming & Performance Optimization	en	programming-languages	robotsllmsaihumans	emailphone	none
fusectore.dev ↗	65 match 2 shared topics	fusectore.dev \| My blog on programming.	en	programming-languages	robotsllmsaihumans	emailphone	none
acervera.com ↗	65 match 2 shared topics	Angel Cervera Claudio / Technology Potpourri	en	technology-and-computing	robotsllmsaihumans	emailphone	none
p4te.com ↗	65 match 2 shared topics	P4TE – Passion 4 Technology	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
zagrod.com ↗	65 match 2 shared topics	Marcin Zagrodzki's Portfolio - Zagrod.com - all things Zagrod	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
iborntocode.com ↗	65 match 2 shared topics	iBornToCode - Quality Code, Born Developers, Professional Programming Community	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
helpwanted.dev ↗	65 match 2 shared topics	Help Wanted - Find Your First Open Source Contribution	en	programming-languages	robotsllmsaihumans	emailphone	none
robskelly.com ↗	65 match 2 shared topics	robskelly.com – Programming and GIS	en	technology-and-computing WordPress	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.