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Home | Figures For Congress · ranked by category · tech stack · backlink co-citation
59match
felixseier.com
Home | Felix Seier for Congress
0 co-citations3 shared tech2 shared categoryelections
58match
24congress.com
HOME | 24 Congress
0 co-citations3 shared tech2 shared categorypolitics
56match
adrianboafo.com
Adrian Boafo for Congress
0 co-citations3 shared tech2 shared categoryelections
56match
adrian4md.com
Adrian Boafo for Congress
0 co-citations3 shared tech2 shared categoryelections
55match
electjenniferbacon.com
HOME | Bacon for Colorado
0 co-citations3 shared tech2 shared categoryelections
55match
elijahfornj.com
Elijah Dixon for Congress | NJ District 12
0 co-citations3 shared tech2 shared categorypolitics
55match
ferd4pa.com
Home | Ferderber For PA
0 co-citations3 shared tech2 shared categoryelections
55match
dianaforcaldwell.com
HOME | Diana For Caldwell
0 co-citations3 shared tech2 shared categoryelections
54match
bankstonforcolumbus.com
HOME | Nick Bankston for Columbus
0 co-citations3 shared tech2 shared categoryelections
54match
geneforsheriff.com
Home | Gene for Sheriff
0 co-citations3 shared tech2 shared categoryelections
54match
grayforvirginia.com
Home | Gray For Virginia
0 co-citations3 shared tech2 shared categorypolitics
54match
bookerformidland.com
HOME | Booker for Midland
0 co-citations3 shared tech2 shared categoryelections
54match
costelloforsenate.com
Home | Costello For Senate
0 co-citations3 shared tech2 shared categoryelections
54match
ferlinkearns.com
Home | Ferlin Kearns For Ok County Assessor
0 co-citations3 shared tech2 shared categoryelections
54match
geoffepsteinformayor.com
Home | Geoff Epstein For Ma
0 co-citations3 shared tech2 shared categorypolitics
54match
coreywinstonforok.com
HOME | Corey Winston for County Commissioner
0 co-citations3 shared tech2 shared categoryelections
54match
electjamesshores.com
James Shores for County Commissioner
0 co-citations3 shared tech2 shared categoryelections
54match
bonnerforstatehouse.com
Home | Bonner for State House
0 co-citations3 shared tech2 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.