similar sites

‹ Profile AI Report Tools

Sites similar to farktronix.com

Farktronix · ranked by shared content topics & relevance

solid-snail blog | This is where I post about my findings and projects.

2 shared topicstechnology-and-computing

Lachlan O'Connell

2 shared topicstechnology-and-computing

bobswinkels.dev

2 shared topicsinformation-and-network-security

bobswinkels.com

2 shared topicsinformation-and-network-security

alexjchapman.com

Alex Chapman’s Blog | A tech blog about all things Bug Bounty, security and development.

2 shared topicstechnology-and-computing

Konstantin Shpinev

2 shared topicstechnology-and-computing

intelpangolin.com

Home - intelpangolin.com

2 shared topicsinformation-and-network-security

2 shared topicstechnology-and-computing

kscarlett's technical ramblings

2 shared topicsinformation-and-network-security

matthaliski.com

Matt Haliski | I build things on computers

2 shared topicstechnology-and-computing

techbeatz.co.uk 🇬🇧

2 shared topicsinformation-and-network-security

0xHacked | a trustless post-audit security protocol

2 shared topicsinformation-and-network-security

kyleincyber.com

2 shared topicsinformation-and-network-security

RoninDojo Blog - A privacy focused bitcoin node project.

2 shared topicstechnology-and-computing

Hacked By #No_Identity - XploitSec

2 shared topicsinformation-and-network-security

Clixvia — Your guide to the digital world.

2 shared topicstechnology-and-computing

Homepage - IOActive

2 shared topicsinformation-and-network-security

Homepage - IOActive

2 shared topicsinformation-and-network-security

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.