Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jeffxf.com

jeffxf · ranked by category · tech stack · backlink co-citation
60match
ivanleo.com
Ivan Leo
2 co-citations3 shared tech1 shared categoryartificial-intelligence
60match
janetacarr.com
Janet Carr
2 co-citations3 shared tech1 shared categoryweb-development
60match
hashnuke.com
Akash Manohar // @HashNuke
2 co-citations3 shared tech1 shared categoryprogramming-languages
60match
devhelm.io
DevHelm — Monitoring That Understands Your Stack
2 co-citations3 shared tech1 shared categorytechnology-and-computing
58match
manyapis.com
Homepage | manyapis
2 co-citations3 shared tech1 shared categorytechnology-and-computing
58match
haveaitry.com
HaveAITry - AI for Everyone
2 co-citations3 shared tech1 shared categoryartificial-intelligence
58match
bajoneando.com
Bajoneando Blog
2 co-citations3 shared tech1 shared categoryprogramming-languages
57match
kelvinfsj.com
Kelvin FSJ
2 co-citations4 shared tech1 shared categorytechnology-and-computing
57match
jimmylauzau.com
Jimmy Lauzau
2 co-citations2 shared tech1 shared categoryprogramming-languages
57match
apiroutezero.com
API Route Zero
2 co-citations4 shared tech1 shared categorytechnology-and-computing
57match
cdomingo.com
Carl Domingo
2 co-citations2 shared tech1 shared categorytechnology-and-computing
56match
haxolotls.com
Haxolot.com
2 co-citations3 shared tech2 shared categoryinformation-and-network-security
55match
manel.dev
Emanuel Ferreira
2 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
j7mbo.com
J7mbo's Blog - James Mallison
2 co-citations3 shared tech1 shared categoryprogramming-languages
55match
j3rmbadger.com
Home | j3rmbadger.com
2 co-citations2 shared tech1 shared categoryinformation-and-network-security
55match
hammerproject.com
the Hammer Project | Learning how to be less wrong… one day at a time.
2 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
api-armor.com
API Armor | Stop fake signups before they start.
2 co-citations2 shared tech1 shared categoryinformation-and-network-security
55match
bonjour.dev
Bonjour - Production-Ready SaaS Template
2 co-citations2 shared tech1 shared categorytechnology-and-computing

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.