Piperic Business Intelligence
similar sites
‹ profile

Sites similar to mapflares.com

Stand With Us - Reject Donald Trump · ranked by category · tech stack · backlink co-citation
51match
havensforjudge.com
Danielle Havens for Judge
0 co-citations3 shared tech1 shared categorypolitics
50match
fearjustice.com
FEAR JUSTICE - Leftist News Dashboard
0 co-citations3 shared tech1 shared categorypolitics
50match
electdodson.com
Bennett Dodson | Judge-Elect, Waller County Court at Law No. 1
0 co-citations3 shared tech1 shared categorypolitics
50match
joepicozzi.com
Joe Picozzi - Pennsylvania State Senator
0 co-citations3 shared tech1 shared categorypolitics
50match
julesmorri.com
Jules Morri | Author of Strings: Who Pulls Them?
0 co-citations3 shared tech1 shared categorypolitics
50match
headlinewise.com
HeadlineWise
0 co-citations3 shared tech1 shared categorypolitics
50match
helpmevote.ai
Help Me Vote
0 co-citations3 shared tech1 shared categoryelections
50match
hoctx-indivisible.com
Hands Off Central TX - Indivisible
0 co-citations3 shared tech1 shared categorypolitics
50match
holdfastai.dev
Holdfast Intelligence | Political Analytics Platform
0 co-citations3 shared tech1 shared categorypolitics
50match
aroundthenews.com
Around the News
0 co-citations3 shared tech1 shared categorypolitics
50match
cltmercury.com
The Charlotte Mercury
0 co-citations3 shared tech1 shared categorypolitics
50match
coupdepod.com
Coup de'Pod
0 co-citations3 shared tech1 shared categorypolitics
50match
advocacyoutlaw.com
Advocacy Outlaw
0 co-citations3 shared tech1 shared categorypolitics
50match
ballotusa.app
BallotUSA - Your Ballot. Simplified.
0 co-citations3 shared tech1 shared categoryelections
50match
ballotlens.com
Home
0 co-citations3 shared tech1 shared categoryelections
50match
bounie.com
Bounie - The open news source
0 co-citations3 shared tech1 shared categorypolitics
50match
censorville.com
Trouble in Censorville
0 co-citations3 shared tech1 shared categorypolitics
50match
electnabil.com
Nabil for District 2 — Multnomah County Commissioner
0 co-citations3 shared tech1 shared categoryelections

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.