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Post-Mid-Life Routine – Thoughts and examples from a lifelong technologist and leader. — 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 Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
moreplease.dev ↗	66 match 1 shared topics	Learn Tech by Example - More { } Please	en	programming-languages	robotsllmsaihumans	emailphone	none
bayfronttechnologies.com ↗	66 match 1 shared topics	Bayfront Technologies, Inc.	en	programming-languages	robotsllmsaihumans	email phone	none
composebyexample.com ↗	65 match 1 shared topics	Compose by Example	en	programming-languages	robotsllmsaihumans	emailphone	none
composewell.com ↗	65 match 1 shared topics	Composewell Technologies	en	programming-languages	robotsllmsaihumans	emailphone	none
csharpbyexamples.com ↗	64 match 1 shared topics	C# by Examples - Simple Code Snippets	en	programming-languages	robotsllmsaihumans	emailphone	none
all4android.net ↗	64 match 1 shared topics	All for Android, Android for All - News and Tutorials about Android and Java World	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csharp-examples.net ↗	63 match 1 shared topics	C# Examples	en	programming-languages	robotsllmsaihumans	emailphone	none
heysyntra.com ↗	63 match 1 shared topics	HeySyntra: Code at thoughts speed	en	programming-languages	robotsllmsaihumans	emailphone	none
hhandoko.com ↗	63 match 1 shared topics	Reverie \| Personal blog of Herdy, a software engineer based in Singapore. Focusing on web technologies, interested in distributed computing, concurrency, and the actor model. Scala, Kotlin, Java, Gleam, Elixir, Swift, Nim.	en	programming-languages	robotsllmsaihumans	emailphone	none
csestack.org ↗	63 match 1 shared topics	CSEstack – Computer Science & Programming Portal	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csharpbyexample.dev ↗	63 match 1 shared topics	C# by Example	en	programming-languages	robotsllmsaihumans	emailphone	none
csharpexample.com ↗	63 match 1 shared topics	C Sharp Example \| C # Example \| C sharp exampls	en	programming-languages	robotsllmsaihumans	emailphone	none
padraig.org ↗	62 match 1 shared topics	Pádraig on the Computer	en	programming-languages	robotsllmsaihumans	emailphone	none
cs-fundamentals.com ↗	62 match 1 shared topics	IT Interview Questions and Answers & Programming Tutorials - cs-Fundamentals.com	en	programming-languages	robotsllmsaihumans	emailphone	none
cstml.dev ↗	62 match 1 shared topics	~/cstml.dev \| A blog like a sketchbook to keep track of my ideas, findings, and learnings. Suggestions via PRs @github or DM me on twitter.	en	programming-languages	robotsllmsaihumans	emailphone	none
algoexplained.dev ↗	62 match 1 shared topics	AlgoExplained – Data Structures and Algorithms Explained Visually	en	programming-languages	robotsllmsaihumans	emailphone	none
vivekrathod.com ↗	62 match 1 shared topics	My coding journal \| Intended to be a place where I can capture coding and programming knowledge. It is mostly focused on .NET and C# with some work related to databases and security as well.	en	programming-languages	robotsllmsaihumans	emailphone	none
bbminfo.com ↗	62 match 1 shared topics	bbminfo tutorials - Learn from scratch	en	programming-languages	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.