similar sites

‹ Profile AI Report Tools

Sites similar to hackwithaakash.com

Aakash Sharma | Application Security Engineer · ranked by shared content topics & relevance

greynodlabs.com

GreyNod Labs | VAPT & Web Application Security Testing

1 shared topicsinformation-and-network-security

networkshard.com

Het Patel — Cybersecurity Engineer — networkshard

1 shared topicsinformation-and-network-security

Prasanna | Application Security Portfolio

1 shared topicsinformation-and-network-security

aahmadnejad.net

Home | Amirhossein Ahmadnejad Roudsari - Cybersecurity Engineer

1 shared topicsinformation-and-network-security

aahmadnejad.com

Home | Amirhossein Ahmadnejad Roudsari - Cybersecurity Engineer

1 shared topicsinformation-and-network-security

Benyamin Tafreshian | Security Engineer

1 shared topicsinformation-and-network-security

application security solutions

1 shared topicsinformation-and-network-security

nextasecurity.com

application security solutions

1 shared topicsinformation-and-network-security

A.K.S Security, LLC — Web Application Security

1 shared topicsinformation-and-network-security

bonifilippo.com

Filippo Boni | Security Engineer

1 shared topicsinformation-and-network-security

andrewhoffman.me

Andrew Hoffman – Software Engineering & Application Security

1 shared topicsinformation-and-network-security

Arpit Dhameliya · Penetration Tester & Security Engineer

1 shared topicsinformation-and-network-security

Arnold Mavhezha | Offensive Security Engineer

1 shared topicsinformation-and-network-security

abeebakanbi.com

Abeeb Akanbi | Security Engineer Portfolio

1 shared topicsinformation-and-network-security

aaronstovall.com

Aaron Stovall — Senior Network Security Engineer

1 shared topicsinformation-and-network-security

Benson - Security Engineer

1 shared topicsinformation-and-network-security

mauricemhaddad.com

Maurice Haddad — Cybersecurity Engineer

1 shared topicsinformation-and-network-security

Arheimar — Security Engineer

1 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.