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Ordinary Times | Ordinary Stories About Ordinary People. — 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 Books And Literature →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
culturallymodified.org ↗	68 match 1 shared topics	Culturally Modified \| Research, stories and experience about our cultural resources	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
jakebe.com ↗	67 match 1 shared topics	From the Desk of Jakebe T. Rabbit – Writing about stories, stories about writing	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
2squarewriting.com ↗	67 match 1 shared topics	2squarewriting – Writing about the creative life and the stories all around us	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
border-voices.com ↗	67 match 1 shared topics	はみ出し者たちの言葉と場所 – Border Voices – Stories from People Living at the Margins	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
aidanyang.org ↗	66 match 1 shared topics	Aidan's Corner — Stories and Drawings	en	books-and-literature	robotsllmsaihumans	emailphone	none
simplestoriesforfutureproductpeople.com ↗	66 match 1 shared topics	Simple Stories for Future Product People	en	books-and-literature	robotsllmsaihumans	emailphone	none
thevillagemag.com ↗	66 match 1 shared topics	The Village \| Stories on Humanity	en	books-and-literature Ghost	robotsllmsaihumans	emailphone	none
gabrielsinclair.com ↗	66 match 1 shared topics	Start Here - Stories By Sinclair	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
afritellpublishers.com ↗	66 match 1 shared topics	Afritell Publishers - Well Told Stories Out of Africa	en	books-and-literature	robotsllmsaihumans	email phone	none
jamestablenotes.com ↗	66 match 1 shared topics	James’ Table Notes – Stories of food, welcome and the people who make a place worth visiting.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
ourlittlebook.com ↗	66 match 1 shared topics	Our Little Book: A Book About the People You Love	en	books-and-literature	robots llmsaihumans	emailphone	none
values.ch ↗	65 match 1 shared topics	True Stories From Difficult Times	Switzerland en	books-and-literature	robotsllmsaihumans	emailphone	none
jackrussellblogs.com ↗	65 match 1 shared topics	Jack Russell – A few brief notes about tea, conversations, books and sometimes cats	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
7storiespress.com ↗	65 match 1 shared topics	Seven Stories Press	en	books-and-literature	robotsllmsaihumans	emailphone	none
5minutebedtime.com ↗	65 match 1 shared topics	5 Minute Bedtime Stories	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
aialiterary.com ↗	65 match 1 shared topics	AIA Literary – Books are my salvation, Stories are my life…	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
booksforwoman.com ↗	65 match 1 shared topics	Her Stories \| Best Books for Women and Children	en	books-and-literature	robots llmsaihumans	emailphone	none
ourlocalfuture.com ↗	65 match 1 shared topics	Adam Tugwell – Writing about people, systems and the realities that shape our lives	en	books-and-literature WordPress	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.