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Sites similar to jeffsadow.com

Between The Lines · ranked by category · tech stack · backlink co-citation
53match
mananizamabad.com
Mana Nizamabad
2 co-citations2 shared tech1 shared categorypolitics
52match
keithseckel.com
Keith Seckel
1 co-citations2 shared tech1 shared categorypolitics
52match
iwritewhatilike.com
I Write What I Like
1 co-citations2 shared tech1 shared categorypolitics
52match
baileyschweitzer.com
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1 co-citations2 shared tech1 shared categorypolitics
52match
mediocracyrules.com
Mediocracy Rules
1 co-citations2 shared tech1 shared categorypolitical-issues-and-policy
52match
2jaz.com
Joe4Waunakee
1 co-citations2 shared tech1 shared categoryelections
50match
hewillgo.com
He is DONE!
0 co-citations2 shared tech1 shared categorypolitics
44match
generationalize.com
Welcome to the Crisis
2 co-citations2 shared tech1 shared categorypolitics
44match
anytelly.com
ANYTELLY
2 co-citations2 shared tech1 shared categorypolitics
43match
matthewelsaesser.com
Matthew Elsaesser
3 co-citations2 shared tech1 shared categorycivic-affairs
43match
hateisthemethod.com
The Daily Star
1 co-citations2 shared tech1 shared categorypolitics
43match
afslacker.com
!?! @ \Ω/ yaaaaa
2 co-citations2 shared tech1 shared categorypolitics
43match
geneseecounty.com
Blue Collar Michigan Scholar's U.S. Auto Workers' 24 Journalism Credits Reader's Decide Journal
2 co-citations2 shared tech1 shared categorypolitics
42match
japlandic.com
Japlandic
2 co-citations2 shared tech1 shared categorypolitics
42match
iwillbuildtheroads.com
Defending Civil Society
2 co-citations2 shared tech1 shared categorypolitical-issues-and-policy
42match
iycki.com
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1 co-citations2 shared tech1 shared categorypolitics
42match
jaimesbautista.com
Of Law and Politics
1 co-citations2 shared tech1 shared categorypolitics
42match
elderreflections.com
Elder Reflections
1 co-citations2 shared tech1 shared categorypolitics

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.