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HOME | DFA Advocacy Fund · ranked by category · tech stack · backlink co-citation
63match
dharmafora2.com
Dharma Akmon | Ann Arbor City Council Member Ward 4
2 co-citations3 shared tech1 shared categorycivic-affairs
60match
jenniferforga.com
Home | JenniferForGA.com
1 co-citations3 shared tech1 shared categorypolitics
59match
coreywinstonforok.com
HOME | Corey Winston for County Commissioner
1 co-citations3 shared tech1 shared categoryelections
59match
brendanforwaukegan.com
HOME | Brendan Stewart For Waukegan 6th Ward Alderman
1 co-citations3 shared tech1 shared categoryelections
58match
electangelaevans.com
Angela Evans for County Attorney | Elect Angela Evans | Lexington
1 co-citations3 shared tech1 shared categorypolitics
58match
electsalette.com
Salette Andrews | Candidate for New Hanover County Commissioner | Wilmington, NC, USA
1 co-citations3 shared tech1 shared categoryelections
58match
fellows4nh.com
Sallie Fellows for NH House
1 co-citations3 shared tech1 shared categorypolitics
54match
electjenniferbacon.com
HOME | Bacon for Colorado
1 co-citations3 shared tech1 shared categoryelections
53match
advancinghope.com
Home | Advancing Hope, USA
0 co-citations3 shared tech2 shared categorypolitics
53match
cerencano.com
Home | Ceren Cano
0 co-citations3 shared tech2 shared categorypolitics
53match
electmeganromano.com
HOME | Politician
0 co-citations3 shared tech2 shared categorypolitics
53match
electlatishashorter.com
HOME | Politician
0 co-citations3 shared tech2 shared categorypolitics
53match
barbadomina.com
Home | Barbadomina
0 co-citations3 shared tech2 shared categorypolitical-issues-and-policy
53match
appghumanrights.com
Home | APPG Human Rights
0 co-citations3 shared tech2 shared categorypolitical-issues-and-policy
53match
cortestogether.com
Home | Regional Director
0 co-citations3 shared tech2 shared categorypolitics
53match
gregory-vermoesen.com
Home | Gregory M. Vermoesen
0 co-citations3 shared tech2 shared categorypolitics
53match
boltonprotocol.com
HOME | The Bolton Protocol
0 co-citations3 shared tech2 shared categorypolitics
53match
coregeoinsights.com
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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:

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.