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Hackermane alternatives & similar sites

Hackermane - Memphis Hacker Community — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
defectdojo.org ↗	68 match 2 shared topics	Community	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyze.ai ↗	64 match 2 shared topics	Cyze - Real-World Cybersecurity Guides & Community Knowledge	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abraithwaite.net ↗	64 match 2 shared topics	Hacker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackskyweb.xyz ↗	64 match 2 shared topics	Build Community Online with Decentralized Tools \| Blacksky	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
aadityapurani.com ↗	64 match 2 shared topics	Aaditya Purani – Hacker – Hacker \| Security Researcher \| Exploit Dev	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
whattheshellpod.com ↗	64 match 2 shared topics	What the Shell? Podcast - A glimpse into big hacks, the people behind them, and the stories from the community.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1percentnerd.com ↗	63 match 2 shared topics	Ezekiel A. Obeisun Jr \| Security Analyst \| AWS Community Builder \| NerdPioneer	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
deneyed.com ↗	63 match 2 shared topics	denEyed \| Hacker Minded Security, Made Simple.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7xter.com ↗	63 match 2 shared topics	Home - The Zero Hack	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
whitehub.org ↗	63 match 2 shared topics	WhiteHub \| The Hub for White Hat Hackers	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
whitehub.net ↗	63 match 2 shared topics	WhiteHub \| The Hub for White Hat Hackers	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aaronportnoy.com ↗	63 match 2 shared topics	aaron(7) - hacker, researcher, reverse engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whatthehack.show ↗	62 match 2 shared topics	What The Hack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deandunbar.com ↗	62 match 2 shared topics	Dean Dunbar- Offensive CyberSecurity, Entrepreneur, Hacker & Blockchain developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ghostlulz.com ↗	62 match 2 shared topics	Ghostlulz Hacks	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
tensorboy.com ↗	62 match 2 shared topics	Tensor Protocol 2.0 \| Hack the system. Or be hacked by it.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whatisthishash.com ↗	62 match 2 shared topics	What Is This Hash? \| Identify Any Hash Instantly	en	technology-and-computing	robotsllmsaihumans	emailphone	none
defcon-parties.com ↗	62 match 2 shared topics	Hacker Summer Camp Parties 2026 – Unofficial list of BSidesLV 26, Black Hat 26 & DEFCON 34 Parties	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none

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.