Piperic Business Intelligence
similar sites
‹ profile

Sites similar to felixedison.com

Amazon.com · ranked by category · tech stack · backlink co-citation
100match
jasonczech.com
Amazon.com
5 co-citations2 shared tech1 shared categoryshopping
85match
eleanorspinell.com
Amazon.com
5 co-citations1 shared tech1 shared categoryshopping
80match
larixcustom.com
Amazon.com: LARIX
5 co-citations1 shared tech1 shared categoryshopping
79match
jmeowio.com
Amazon.com: jmeowio
5 co-citations1 shared tech1 shared categoryshopping
79match
greenmountainimport.com
Amazon.com: Evelots
5 co-citations1 shared tech1 shared categoryshopping
79match
greenmountainimports.com
Amazon.com: Evelots
5 co-citations1 shared tech1 shared categoryshopping
79match
cerivee.com
Amazon.com: Cerivee
5 co-citations1 shared tech1 shared categoryshopping
78match
all4canid.com
Amazon.com: all4canid
5 co-citations1 shared tech1 shared categoryshopping
78match
coppergemz.com
Amazon.com: COPPER GEMZ
5 co-citations1 shared tech1 shared categoryshopping
77match
botanicalorigin.com
Amazon.com: Botanical Origin
5 co-citations1 shared tech1 shared categoryshopping
72match
kanefooddrive.com
Amazon.com
1 co-citations2 shared tech1 shared categoryshopping
72match
bagsofhopefooddrive.com
Amazon.com
1 co-citations2 shared tech1 shared categoryshopping
70match
ivybrielle.com
Amazon.com
5 co-citations0 shared tech1 shared categoryshopping
65match
elijahsbookdrive.com
Gift List Message
5 co-citations1 shared tech1 shared categoryshopping
57match
headseal.com
Amazon.co.uk: HeadSeal
3 co-citations1 shared tech1 shared categoryshopping
52match
bookindy.com
Bookindy – Browse Amazon, buy from your local bookshop
0 co-citations2 shared tech1 shared categoryshopping
50match
kanapaith.com
kanapaith
0 co-citations2 shared tech1 shared categoryshopping
50match
kemtacuy.com
kemtacuy
0 co-citations2 shared tech1 shared categoryshopping

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.