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Dan Drust — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
bugraozkan.com 63 match
1 shared topics
Buğra Özkan en programming-languagesGhost robotsllmsaihumans emailphone none
brendanmedoro.com 63 match
1 shared topics
Brendan Medoro en programming-languages robotsllmsaihumans emailphone none
andreyor.st 62 match
1 shared topics
Andrey Listopadov en programming-languages robotsllmsaihumans emailphone none
robinvandervliet.com 62 match
1 shared topics
Robin van der Vliet en programming-languages robotsllmsaihumans emailphone none
pythonsd.com 62 match
1 shared topics
Home · San Diego Python en programming-languages robotsllmsaihumans emailphone none
pythonsd.org 62 match
1 shared topics
Home · San Diego Python en programming-languages robotsllmsaihumans emailphone none
pythontactics.com 62 match
1 shared topics
Python Tactics by Dan Wilhelm en programming-languages robotsllmsaihumans emailphone none
robvanderwoude.com 61 match
1 shared topics
Rob van der Woude's Scripting Pages en programming-languages robotsllmsaihumans emailphone none
newrustacean.com 61 match
1 shared topics
New Rustacean: A Podcast About Learning Rust en programming-languages robotsllmsaihumans emailphone none
javaspec.info 60 match
1 shared topics
JavaSpec 2.0 | JavaSpec 2.x is a Java library that lets you use lambdas to write specifications that run on the JUnit 5 platform. en programming-languages robotsllmsaihumans emailphone none
blakat.cc 60 match
1 shared topics
All posts | 黑貓博客 en programming-languages robotsllmsaihumans emailphone none
blap.space 60 match
1 shared topics
Journal d'une exploration en programming-languages robotsllmsaihumans emailphone none
blind.guru 60 match
1 shared topics
Blind Guru - Home en programming-languages robotsllmsaihumans emailphone none
blogu.fish 60 match
1 shared topics
Blogu en programming-languages robotsllmsaihumans emailphone none
blogweb.online 60 match
1 shared topics
Eugene Kofi | Computer Engineering Portfolio en programming-languages robotsllmsaihumans emailphone none
bltnm.store 60 match
1 shared topics
BLTNM Profile en programming-languages robotsllmsaihumans emailphone none
bluelang.fyi 60 match
1 shared topics
Blue Language FYI en programming-languages robotsllmsaihumans emailphone none
blunder.training 60 match
1 shared topics
Blunder | Learning Blender Core development the hard way, and teaching the easy way. 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:

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.