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Mill Avenue Vexations | Burning rubber where angels fear to tread — 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 Fiction →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
brookeandbinding.com ↗	64 match 2 shared topics	Brooke & Binding – where all types of books deserve to be read, enjoyed, and reviewed :)	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
annie-oconnell.com ↗	64 match 2 shared topics	Annie O'Connell \| Where my imagination runs free	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
broodofangels.com ↗	64 match 2 shared topics	Brood of Angels \| The Nature of Demons \| Paul R. Tucker	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
erikhansen67.me ↗	64 match 2 shared topics	Edges \| Where poetry, prose and pictures sometimes meet…	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
danielleschley.com ↗	64 match 2 shared topics	The Royal Art of Burning Bridges \| Danielle Schley	en	fiction	robotsllmsaihumans	emailphone	partial · 8
danielledesjardins.com ↗	64 match 2 shared topics	The Royal Art of Burning Bridges \| Danielle Schley	en	fiction	robotsllmsaihumans	emailphone	partial · 8
eldritchword.com ↗	64 match 2 shared topics	Eldritch Word – Where imagination collides with reality.	en	fiction WordPress	robotsllmsaihumans	emailphone	none
cyanabrittallen.com ↗	64 match 2 shared topics	Just North Of Reality \| Where creative minds rule and run amok	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
anneswritingnook.com ↗	64 match 2 shared topics	Anne McSommers' Writing Nook – Welcome to the nook, where I share my original works	en	fiction WordPress	robotsllmsaihumans	emailphone	full · 12
fablefox.app ↗	64 match 2 shared topics	FableFox - Where Stories Come to Life	en	books-and-literature	robotsllmsaihumans	emailphone	none
oneandonlyobserver.org ↗	63 match 2 shared topics	One and Only Observer \| My Observations and Writing. The Meaning of Life.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
virenabhyankar.com ↗	63 match 2 shared topics	Viren Abhyankar – “Coming back to where you started is not the same as never leaving.” – Terry Pratchett	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
darkroadpub.com ↗	63 match 2 shared topics	DARK ROAD PUBLISHING - Where Relentless Action Meets Unforgettable Characters	en	fiction WordPress	robotsllmsaihumans	emailphone	none
kellyabell.com ↗	63 match 2 shared topics	Author Kelly Abell \| Welcome to my site, where you can learn about my books and find writing advice you can use	en	fiction WordPress	robotsllmsaihumans	emailphone	none
heterodoxfiction.com ↗	63 match 2 shared topics	Fiction You Actually Want to Read \| Black Sheep Publications	en	books-and-literature	robotsllmsaihumans	emailphone	none
curtischameleonbooks.com ↗	63 match 2 shared topics	Curtis Chameleon Books \| Book Store \| Los Angeles	United States~ en	books-and-literature Lightspeed	robotsllmsaihumans	emailphone	none
annielyons.com ↗	63 match 2 shared topics	Annie Lyons \| Bestselling author of contemporary fiction	en	books-and-literature WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
kateangelo.com ↗	63 match 2 shared topics	Home - Kate Angelo	en	fiction WordPress WooCommerce	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.