similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to michelleaf.com

Michelleaf alternatives & similar sites

Michelle's Musings | After 30 years working in IT, I have a few opinions. — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sayemahmed.com ↗	63 match 2 shared topics	Random Musings	en	software-and-applications	robotsllmsaihumans	emailphone	none
devcite.com ↗	63 match 2 shared topics	DevCite \| Engineering Intelligence Workspace	en	software-and-applications	robotsllmsaihumans	emailphone	none
namingthings.co ↗	63 match 2 shared topics	Naming Things \| A book about the hardest problem in software engineering	Colombia en	software-and-applications	robotsllmsaihumans	emailphone	none
dimersoft.org ↗	63 match 2 shared topics	DimerSoft	en	software-and-applications	robotsllmsaihumans	email phone	none
devady.com ↗	63 match 2 shared topics	DevAdy — Crafting innovative software solutions.	en	software-and-applications	robotsllmsaihumans	emailphone	none
thethomasrohde.com ↗	63 match 2 shared topics	Home	en	technology-and-computing Weebly	robotsllmsaihumans	emailphone	none
gadegetkit.com ↗	63 match 2 shared topics	Online Tools for Music, Development, and Business Workflows - GadegetKit Online \| GadegetKit Online	en	software-and-applications	robots llmsaihumans	emailphone	none
jairojair.com ↗	63 match 2 shared topics	Jairo Jair	en	technology-and-computing	robotsllmsaihumans	emailphone	none
diegolemos.net ↗	62 match 2 shared topics	Diego's notes – Writing software that works (and occasionally taking notes)	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
mikewebster.io ↗	62 match 2 shared topics	Mike Webster \| Senior Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sirenix.net ↗	62 match 2 shared topics	Odin Inspector and Serializer \| Improve your workflow in Unity	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jakebillings.com ↗	62 match 2 shared topics	Jake Billings \| Software Engineer	en	software-and-applications Spree Commerce	robotsllmsaihumans	emailphone	none
ganderworks.com ↗	62 match 2 shared topics	Ganderworks \| Innovative Software Solutions	en	software-and-applications	robotsllmsaihumans	emailphone	none
miniflux.net ↗	62 match 2 shared topics	Miniflux - Minimalist and Opinionated Feed Reader	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jechocarlos.dev ↗	62 match 2 shared topics	Jecho Carlos — Software Engineer	en	software-and-applications	robotsllmsaihumans	emailphone	none
jdeusersgroup.org ↗	62 match 2 shared topics	Community and Resources for Oracle's Business Technology Users	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jdeusergroup.org ↗	62 match 2 shared topics	Community and Resources for Oracle's Business Technology Users	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jdedwardsusergroup.org ↗	62 match 2 shared topics	Community and Resources for Oracle's Business Technology Users	en	technology-and-computing WordPress	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.