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Andrew Hartz – Programming Portfolio — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
minoruyoshida.net ↗	67 match 3 shared topics	Portfolio	en	programming-languages	robotsllmsaihumans	emailphone	none
terencelucasyap.com ↗	67 match 3 shared topics	A Slacker’s Guide to Programming	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mycodetips.com ↗	66 match 3 shared topics	CODE t!ps - Programming Tips & Software Tutorials	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
reinart.dev ↗	66 match 3 shared topics	Maya Reinart \| Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lemmy.wang ↗	66 match 3 shared topics	programming.dev - A collection of programming communities	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lokeshaslekar.xyz ↗	64 match 3 shared topics	Lokesh Aslekar \| Computer Science Student Portfolio	en	technology-and-computing Spree Commerce	robotsllmsaihumans	emailphone	none
minikin.me ↗	62 match 3 shared topics	Oleksandr Prokhorenko	en	programming-languages	robotsllmsaihumans	emailphone	none
davidlozzi.com ↗	62 match 3 shared topics	David Lozzi – Geek	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
tenderprog.com ↗	62 match 3 shared topics	Tenderprog Blog - Profile Snapshot	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mydatascienceacademy.com ↗	61 match 3 shared topics	William's Data Science Blog – Cracking the Code: A High Schooler’s Data Science Adventure	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ajmani.net ↗	61 match 3 shared topics	Sameer Ajmani – Father of three in Brooklyn. Engineering Director at Google leading work on the Go language and AI agents. Novice birder.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
davidkaya.com ↗	61 match 3 shared topics	Dávid Kaya — Engineering Notes	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kaunghtetko.com ↗	61 match 3 shared topics	Kaung Htet Ko \| Software Engineering Student	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deeemm.com ↗	60 match 3 shared topics	DeeEmm \| Waxing lyrical about life the universe and everything code related since lunchtime 2006.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
llmcode.fail ↗	60 match 3 shared topics	llmcode.fail - Learn from LLM failures	en	programming-languages	robotsllmsaihumans	emailphone	none
loreley.one ↗	60 match 3 shared topics	Loreley — Lukas Bogacz	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mikolaj-mikuliszyn.dev ↗	60 match 3 shared topics	Mikolaj Mikuliszyn — Systems Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mikolaj-mikuliszyn.com ↗	60 match 3 shared topics	Mikolaj Mikuliszyn — Systems Engineer	en	artificial-intelligence	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.