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The Simple Dev — 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
onthestack.io ↗	65 match 2 shared topics	On The Stack - Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdornseif.io ↗	64 match 2 shared topics	Dr. Maximillian Dornseif - Exploring the World of Software Development	en	programming-languages	robotsllmsaihumans	emailphone	none
onoffprogrammer.com ↗	64 match 2 shared topics	Home \| The On/Off Programmer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abdelkrim.blog ↗	64 match 2 shared topics	Home \| Abdelkrim.blog	en	programming-languages	robotsllmsaihumans	emailphone	none
onlinemarkdown.com ↗	64 match 2 shared topics	Online Markdown Editor - Simple, Fast & Live Preview \| OnlineMarkdown.com	en	programming-languages	robotsllmsaihumans	emailphone	none
4zm.org ↗	64 match 2 shared topics	Home - The Ivory Tower	en	technology-and-computing	robotsllmsaihumans	emailphone	none
badrooki.dev ↗	63 match 2 shared topics	BadRooki \| Free Dev Tools, Tech Tips & Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
landongrindheim.com ↗	63 match 2 shared topics	Landon Grindheim \| Landon Grindheim - Software craftsman. Striving for simplicity and elegance.	en	programming-languages	robotsllmsaihumans	emailphone	none
splitwise.tech ↗	63 match 2 shared topics	Splitwisdom :: The Splitwise engineering blog	en	programming-languages	robotsllmsaihumans	emailphone	none
blackbored.dev ↗	63 match 2 shared topics	blackbored. \| perfecting the software craft.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
copol.io ↗	63 match 2 shared topics	The COPOL.	en	programming-languages	robotsllmsaihumans	emailphone	none
badboi.dev ↗	63 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
cocoabuilder.com ↗	63 match 2 shared topics	Cocoa Mastery From Basics to Game Dev	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
1xengineer.dev ↗	63 match 2 shared topics	1xEngineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
indanary.com ↗	63 match 2 shared topics	Home	en	programming-languages	robotsllmsaihumans	emailphone	none
onetwobytes.com ↗	63 match 2 shared topics	One Two Bytes \| Roaming the software world. A smorgasbord of topics I come across while writing software.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
samthesoftwareman.com ↗	63 match 2 shared topics	Sam the Software Man \| Thoughts and teachings on computer science, software engineering/development, as well as general technology topics. Lessons that I wish had been taught to me early in my career as a programmer.	en	programming-languages	robotsllmsaihumans	emailphone	none
sandeepbhaisora.com ↗	63 match 2 shared topics	Sandeep Bhaisora - Software Developer \| Java, Spring Boot, AWS, Microservices	en	programming-languages	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.