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EvolutionKit – Your guide to Swift Evolution — 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
augustschau.com ↗	65 match 2 shared topics	August Schau \| Your Technology Tour Guide	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
dotnetway.com ↗	64 match 2 shared topics	DotNetWay \| Guide to Software Engineering, .Net Programming, and Cloud Computing	en	technology-and-computing Reaction Commerce	robotsllmsaihumans	emailphone	none
skiplabs.io ↗	64 match 2 shared topics	Revolutionizing Cache Invalidation with Skips Incremental Compute Engine	en	programming-languages	robotsllmsaihumans	emailphone	none
proto-foundry.com ↗	64 match 2 shared topics	Raspberry Pi GPIO Configuration Guide	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dotnetevolved.com ↗	63 match 2 shared topics	.Net Evolved	en	technology-and-computing	robotsllmsaihumans	emailphone	none
hph93.com ↗	63 match 2 shared topics	Hang-on-Tech – From Code to Insights: A Developer's Journey	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
dotnetmirror.com ↗	63 match 2 shared topics	DotNetMirror - Reflects your Knowledge	en	technology-and-computing	robotsllmsaihumans	emailphone	none
skillstuff.com ↗	63 match 2 shared topics	Skill Stuff - Practical tips, guides, and insights to help you learn new skills, grow faster, and achieve more in life and work.	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
neovolve.com ↗	63 match 2 shared topics	Rory Primrose – Learn from my mistakes, you don't have time to make them yourself	en	programming-languages	robotsllmsaihumans	emailphone	none
elel.dev ↗	62 match 2 shared topics	Lorenzo Larghi - Choose Your Experience	en	technology-and-computing	robotsllmsaihumans	emailphone	none
akarakucrafts.uk ↗	62 match 2 shared topics	Davide Andreazzini — DevOps, Linux, Python & Self-Hosting Blog	United Kingdom en	programming-languages Ghost	robotsllmsaihumans	emailphone	partial · 14
gaseosalabs.com ↗	62 match 2 shared topics	Gaseosa Labs	en	programming-languages	robotsllmsaihumans	emailphone	none
littlebigextra.com ↗	62 match 2 shared topics	Little Big Extra - A technology blog covering topics on Java, Scala, Docker, AWS, BigData, DevOps and much more to come. Do it yourself instructions for complex to simple problems for a novice to an expert.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
2paltd.com ↗	62 match 2 shared topics	Subscribe to our Newsletters	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ceeoreo.dev ↗	62 match 2 shared topics	Ceora Ford • Welcome to my blog and portfolio!	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cocoabuilder.com ↗	62 match 2 shared topics	Cocoa Mastery From Basics to Game Dev	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
astrobugs.com ↗	62 match 2 shared topics	AstroBugs – Presnting Computer Science Topics For Astronomers	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
proveyourvibe.com ↗	62 match 2 shared topics	ProveYourVibe - Vibe Coding Project Ranking	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.