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SFDCinSeatown – Blogging about Salesforce from the land of Craft Beer and Fine Coffee! — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ogrodowicz.net ↗	69 match 1 shared topics	Home \| Piotr’s Little (mostly) Salesforce Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
adminmusings.com ↗	68 match 1 shared topics	Admin Musings - Notes from a Salesforce Administrator	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
ekenigsberg.com ↗	67 match 1 shared topics	Kudotek v2.0 \| Tools and Tips for Salesforce Data Geeks	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
meettodo.net ↗	67 match 1 shared topics	assumption of advancement – Blog about software architecture	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
sf-minds.com ↗	66 match 1 shared topics	Salesforce Minds - Guiding You Toward Salesforce Excellence	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
serverdiary.com ↗	66 match 1 shared topics	SERVERDIARY - Talk about server and programming	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
sfdebug.com ↗	66 match 1 shared topics	Salesforce Bug Fix — Lyons Tech	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ttested.com ↗	66 match 1 shared topics	T-Tested \| Blogging about all things data	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ekluster.com ↗	66 match 1 shared topics	EKluster \| Dung Nguyen’s blog about infra, security, and other tech involving the EKluster system.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sftebook.com ↗	66 match 1 shared topics	Salesforce Admin Mistakes - Special	en	technology-and-computing	robotsllmsaihumans	emailphone	none
turbomarc.com ↗	66 match 1 shared topics	TURBOMARC - Notes from the field	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
sfdcautomation.com ↗	66 match 1 shared topics	Salesforce Automation – Salesforce Blogs	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
ifuckinghatesalesforce.com ↗	66 match 1 shared topics	I Fucking Hate Salesforce	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
ocrospoma.org ↗	65 match 1 shared topics	Erick Ocrospoma — Infrastructure problems, documented from the lab.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
absolutewillynilly.com ↗	65 match 1 shared topics	AbsoluteWillyNilly - coffee fuelled toss about computers, the internet, photography and other gubbins produced in moments of genuine boredom : AbsoluteWillyNilly	en	technology-and-computing WordPress X-Cart	robotsllmsaihumans	emailphone	none
sfdcace.com ↗	65 match 1 shared topics	SFDCACE – Salesforce Expert	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
qword.net ↗	65 match 1 shared topics	QWORD \| Thoughts about how the world works, from a technologist.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ctrlaltspeech.com ↗	65 match 1 shared topics	Ctrl-Alt-Speech: A Podcast About The Latest In Online Speech	en	technology-and-computing	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.