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Sites similar to jeremiahlee.dev

Jeremiahlee alternatives & similar sites

Jeremiah Lee - Developer — 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
briangineering.com ↗	68 match 1 shared topics	Brian D. \| Cyber Developer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
dotenv.com ↗	67 match 1 shared topics	Dotenv \| Secrets for developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anonymize.website ↗	66 match 1 shared topics	anonymize.website - Privacy API for Developers	en	information-and-network-security	robots llms aihumans	emailphone	full · 13
rejectmodders.dev ↗	66 match 1 shared topics	RejectModders \| Cybersecurity Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
tunnelwise.com ↗	66 match 1 shared topics	Tunnelwise - Secure Localhost Tunneling for Developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brandonfairing.com ↗	65 match 1 shared topics	Brandon Fairing - Developer from Minneola, Florida - AKA "Kayaba"	en	information-and-network-security	robotsllmsaihumans	emailphone	none
registerwatchdog.com ↗	65 match 1 shared topics	Registration - Watchdog Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pwndeck.com ↗	64 match 1 shared topics	PwnDeck - Free Online Security Tools for Developers & Pentesters	en	information-and-network-security	robots llmsaihumans	emailphone	full · 16
defsec.co ↗	64 match 1 shared topics	Home - DefSec LLC	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
veraid.net ↗	64 match 1 shared topics	User- and developer-friendly authentication based on DNS \| VeraId	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotarvid.com ↗	64 match 1 shared topics	Arvid Berndtsson - Information Security Lead & Full-Stack Developer	Sweden~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
aossoft.online ↗	64 match 1 shared topics	AosSoft - Cybersecurity & App Development Agency	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
davidgacheru.engineer ↗	64 match 1 shared topics	David Wathuchi Gacheru — Software Developer & Application Security Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
rkj-consulting.com ↗	64 match 1 shared topics	RKJ Consulting \| Cybersecurity & Software Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vennfactory.com ↗	63 match 1 shared topics	Venn Factory \| Develop Irresistible Identity Strategies	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
dc256.org ↗	63 match 1 shared topics	Home - DC256	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdevelopment.company ↗	63 match 1 shared topics	Cyber Development \| Cybersecurity Advisory & Managed Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jeremygordon.dev ↗	63 match 1 shared topics	Jeremy Gordon	en	information-and-network-security	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.