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Reconnotes alternatives & similar sites

recon/notes — Collaborative Security Research Notes — 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
adnanthekhan.com ↗	70 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3ziz.me ↗	69 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
0xmaruf.com ↗	69 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
jameshasewinkle.com ↗	69 match 2 shared topics	James A. Hasewinkle — Offensive Security & Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasstej.tech ↗	68 match 2 shared topics	Jasstej Singh - Cybersecurity Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
threatmine.io ↗	68 match 2 shared topics	threatmine.io – Cyber Threat Intel \| Security Research \| Data Science	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jakeotte.com ↗	67 match 2 shared topics	Jake Otte – Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bohops.com ↗	67 match 2 shared topics	bohops – A blog about cybersecurity research, education, and news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dillonfranke.com ↗	66 match 2 shared topics	Dillon Franke Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
boonrisk.com ↗	66 match 2 shared topics	Free WordPress Security Reports \| BoonRisk	Ukraine~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
adamkliarsky.com ↗	66 match 2 shared topics	Below the Attack Surface: Security Research for Fun and Profit – A place where I can document and share the various stuff I learn.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	66 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	66 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
galiata.com ↗	65 match 2 shared topics	Security Engineer — David Galiata	Netherlands~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
smartcodex.org ↗	65 match 2 shared topics	SmartCodex — Security Devs & Analysts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
8bitsecurity.com ↗	65 match 2 shared topics	Home \| 8Bit Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mell0wx.tech ↗	65 match 2 shared topics	mell0wx — Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mini.dev ↗	65 match 2 shared topics	mini.dev - research and OSS from Minimus	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 12

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.