similar sites

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Sites similar to nyctaf.com

NYCTAF – The New York City Teen Author Festival · ranked by shared content topics & relevance

bbutlertheauthor.com

Bernadette Butler – The Author

1 shared topicsbooks-and-literature

annablakeauthor.com

Anna Blake, Author – The Print Version.

1 shared topicsbooks-and-literature

andretellier.com

Andre Tellier – A queer research blog for a New York author.

1 shared topicsbooks-and-literature

Jabbar Farshbaf – Persian author and painter

1 shared topicsbooks-and-literature

Gary Covey, Author – The Danny Lawson Adventure Series

1 shared topicsbooks-and-literature

Jack Holt – Author

1 shared topicsbooks-and-literature

Shara Moon – Author

1 shared topicsbooks-and-literature

annasequoia.com

Anna Sequoia – Author

1 shared topicsbooks-and-literature

anniewilsonbooks.com

Annie Wilson – Author

1 shared topicsbooks-and-literature

Basma Akram – Author

1 shared topicsbooks-and-literature

Caia Winter – Author.

1 shared topicsbooks-and-literature

caitjohnson.com

Cait Johnson – author

1 shared topicsbooks-and-literature

conniesteinman.com

Connie Steinman – Author of Behind the Wall

1 shared topicsbooks-and-literature

Isla Stuart – Author

1 shared topicsbooks-and-literature

jackewilson.com

Jacke Wilson – Author

1 shared topicsbooks-and-literature

shetherevolution.com

She. – The Next Feminist Revolution

1 shared topicsbooks-and-literature

Suzy Senior – Author

1 shared topicsbooks-and-literature

Anna B. Moore – Author

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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.