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Trey Mack — 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
daemianmack.org ↗	67 match 2 shared topics	Daemian Mack	en	programming-languages	robotsllmsaihumans	emailphone	none
icmccorm.com ↗	63 match 2 shared topics	Ian McCormack	en	programming-languages	robotsllmsaihumans	emailphone	none
robbiemackay.com ↗	63 match 2 shared topics	This week #7 – Robbie Mackay	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abreslav.com ↗	63 match 2 shared topics	Andrey Breslav	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ajmd.dev ↗	62 match 2 shared topics	Andrew MacDonald - Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deusinmachina.net ↗	61 match 2 shared topics	Deus In Machina \| Diego Crespo \| Substack	en	programming-languages	robotsllmsaihumans	emailphone	none
rlbox.dev ↗	61 match 2 shared topics	Overview - Practical third-party library sandboxing with RLBox	en	programming-languages	robotsllmsaihumans	emailphone	none
acceleratepolkadot.com ↗	60 match 2 shared topics	Accelerate Polkadot - Goal-oriented, code-first, in-depth guides on building practical applications within the Polkadot ecosystem	en	programming-languages	robotsllmsaihumans	emailphone	none
heberling.net ↗	60 match 2 shared topics	Markus Heberling – Coding == Relaxing	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
hegemonies.net ↗	60 match 2 shared topics	Daniil Dyachenko's blog.	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
heesu.tech ↗	60 match 2 shared topics	My dev journey	en	programming-languages	robotsllmsaihumans	emailphone	none
helicalmoment.org ↗	60 match 2 shared topics	Helical Moment	en	technology-and-computing Tumblr	robotsllmsaihumans	emailphone	partial · 11
helioalbano.me ↗	60 match 2 shared topics	{ Helio Albano }’s blog \| day by day learnings	en	programming-languages	robotsllmsaihumans	emailphone	none
helloscriptkitty.com ↗	60 match 2 shared topics	Lucas McGregor – Code, culture, and the occasional haggis.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
helenlyttle.com ↗	60 match 2 shared topics	Helen Lyttle - QA/Data Engineer	en	programming-languages	robotsllmsaihumans	emailphone	none
hellper.app ↗	60 match 2 shared topics	Hell-Per - Helper stuff for lazy devs	en	programming-languages	robotsllmsaihumans	emailphone	none
helloworldbook2.com ↗	60 match 2 shared topics	Hello World! Second Edition - Warren Sande and Carter Sande	en	programming-languages	robotsllmsaihumans	emailphone	none
helpwanted.dev ↗	60 match 2 shared topics	Help Wanted - Find Your First Open Source Contribution	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.