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ZSS心得记录 - Lifelong Learning — 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
yourmom.io ↗	66 match 1 shared topics	On docs, learning to code, and life	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
christianphan.com ↗	65 match 1 shared topics	Hi, I'm Christian - Electrical Engineer · Semiconductor · Investing · Open Source · Lifelong Learning · Travel	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fusionlearnings.com ↗	65 match 1 shared topics	Fusion Learnings - Anand Yerrapati	en	technology-and-computing	robotsllmsaihumans	emailphone	none
agiledictionary.org ↗	64 match 1 shared topics	The Agile Dictionary \| Sponsored by Agile Learning Labs	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
gautammenghani.com ↗	64 match 1 shared topics	Gautam’s blog \| A blog documenting my learnings	en	technology-and-computing	robotsllmsaihumans	emailphone	none
robsonjr.com ↗	64 match 1 shared topics	Robson Braga \| Sharing my learnings and thoughts.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cloudandvps.com ↗	63 match 1 shared topics	Open Platform For Learning, Blogging, And News \| Cloud And VPS	US~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
funtechfactory.com ↗	63 match 1 shared topics	FunTech Factory – Join us learning and building new technology	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
funtechz.com ↗	63 match 1 shared topics	FunTech - Learn Tech and Blogging with Us	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
7pm.dev ↗	63 match 1 shared topics	7pm.dev \| Engineering Leader	en	technology-and-computing	robots llmsaihumans	emailphone	none
agilecraft.net ↗	63 match 1 shared topics	Agilecraft – Blogging and Stuff – Coaching and Training for Learning Agile and Scrum	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
agilecraft.org ↗	63 match 1 shared topics	Agilecraft – Blogging and Stuff – Coaching and Training for Learning Agile and Scrum	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
futuretechideas.com ↗	63 match 1 shared topics	FutureTechIdeas - Learn and Feel New Technology	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kyliekiser.com ↗	63 match 1 shared topics	Kylie Kiser - News and learning from around the world of #MSDyn365 and #PowerPlatform	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
1diyshare.com ↗	62 match 1 shared topics	ENJoY LiFE – Collaborate -Access – Learn – Avail – Share -Support	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
funbutlearn.com ↗	62 match 1 shared topics	Fun But Learn - A blog of Tabgraf	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
roadtoarchitect.com ↗	62 match 1 shared topics	The Road To Architect – learning notes about software architecture, system design and others	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
domoorewithdata.com ↗	62 match 1 shared topics	Do Mo(o)re with Data – Our data journey and things we've learned along the way	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.