Piperic Business Intelligence
similar sites
‹ profile

Sites similar to majankowski.com

Melissa Jankowski · ranked by category · tech stack · backlink co-citation
50match
ityatale.com
I'll Tell You A Tale / A Collection Of Short Stories
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
joshhilden.com
Josh Hilden
0 co-citations3 shared tech2 shared categoryfiction
50match
adriennebeckham.com
Adrienne Beckham | Freelance Writer. Auditory Adventurer.
0 co-citations3 shared tech2 shared categoryfiction
50match
bonesgilmore.com
Bones Gilmore
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
booksbynatasha.com
Books By Natasha
0 co-citations3 shared tech2 shared categoryfiction
50match
bookthump.com
Bookthump.
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
cedarbowers.com
Cedar Bowers
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
cosmiccomedienne.com
The Cosmic Comedienne
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
dianeclarkeauthor.com
Diane Clarke
0 co-citations3 shared tech2 shared categorybooks-and-literature
50match
elenikwriter.com
ELENI KYRIACOU
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
jendanna.com
Jen J. Danna/Sara Driscoll - Mystery and Thriller Author
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
kandrabecerra.com
Kandra Becerra Children's Author
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
mal-king.com
Author Mal King
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
ivettealexander.com
IVETTE ALEXANDER
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
jackwangauthor.com
JACK WANG
0 co-citations3 shared tech2 shared categoryfiction
42match
joanhewrites.com
Joan He
0 co-citations3 shared tech2 shared categorybooks-and-literature
42match
alkauthor.com
Angela L Keith
0 co-citations3 shared tech2 shared categoryfiction
42match
aljosephlumen.com
AL JOSEPH LUMEN
0 co-citations3 shared tech2 shared categorybooks-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.