Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to mcbery.com

Mcbery | A former Xanga Blogger · ranked by shared content topics & relevance
65match
clinthicks.com
DrClint on the Web | Author, Performer, Consultant
1 shared topicsbooks-and-literature
65match
divingdimitri.com
Dimitrios V. Smirnich | Author, Diver & Former Soldier
1 shared topicsbooks-and-literature
65match
dlupton.com
This Sociological Life | A blog by sociologist Deborah Lupton
1 shared topicsbooks-and-literature
64match
themostcolorfulone.com
themostcolorfulone - blog
1 shared topicsbooks-and-literature
64match
dogeardiary.com
Dogear Diary - a book blog
1 shared topicsbooks-and-literature
64match
familymeetingblog.com
Family Meeting – A Blog Mostly About Books
1 shared topicsbooks-and-literature
64match
thepetitestag.com
The Petite Stag | a blog about raising readers who have a life long passion for literacy
1 shared topicsbooks-and-literature
64match
bibliolore.org
Bibliolore | The RILM blog
1 shared topicsbooks-and-literature
64match
arte-et-fortuna.com
Literary Review Blog | Arte et Fortuna
1 shared topicsbooks-and-literature
64match
nicolekperkins.com
This is the Mask: A Book Blog – A Book Blog
1 shared topicsbooks-and-literature
63match
newyorktate.com
Literary | A New York Tate of Mind
1 shared topicsbooks-and-literature
63match
anneschlebusch.com
Anne Schlebusch – A blooming author
1 shared topicsbooks-and-literature
63match
matthewhague.com
Thank you for visiting – Matthew Hague's blog
1 shared topicsbooks-and-literature
63match
pipbrennan.com
PipBrennan – Author, Sunday Blogger, Connector
1 shared topicsbooks-and-literature
63match
bmancilla.com
Brendan Mancilla, Author. – The Official Blog!
1 shared topicsbooks-and-literature
63match
farewellbookstore.com
Farewellbookstore, a blog for serial reader !
1 shared topicsbooks-and-literature
63match
roberthagilestockweb.com
Inventory | AgileStockWeb
1 shared topicsbooks-and-literature
63match
a4future.org
Mein Blog
1 shared topicsbooks-and-literature

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:

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.