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Learn and Understand Ruby on Rails | Hello Rails — 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 Web Development →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
highleveragerails.com ↗	64 match 3 shared topics	High Leverage Rails	en	programming-languages	robotsllmsaihumans	emailphone	none
brokode.dev ↗	60 match 3 shared topics	Brokode	en	programming-languages Spree Commerce	robotsllmsaihumans	emailphone	none
buildwithhussain.com ↗	60 match 3 shared topics	Build With Hussain	en	web-development	robotsllmsaihumans	emailphone	none
brunossilveira.com ↗	55 match 2 shared topics	Learn Ruby and Ruby on Rails	en	programming-languages	robotsllmsaihumans	emailphone	none
healthyrailsapps.co.uk ↗	50 match 2 shared topics	Keep Your Ruby on Rails App Healthy	United Kingdom en	web-development Gumroad	robotsllmsaihumans	emailphone	none
mdominiak.com ↗	47 match 2 shared topics	Mateusz Dominiak \| Crafting awesome web applications in Ruby on Rails and blogging about interesting engineering challenges.	en	programming-languages	robotsllmsaihumans	emailphone	none
hellajs.com ↗	45 match 2 shared topics	HellaJS \| HellaJS	en	web-development	robotsllmsaihumans	emailphone	none
darwintantuco.com ↗	45 match 2 shared topics	Darwin Tantuco \| Elixir, Javascript and Ruby developer from Manila, Philippines	en	web-development	robotsllmsaihumans	emailphone	none
buildasaasappwithflask.com ↗	44 match 2 shared topics	Learn to Build Web Applications with Flask and Docker	en	web-development	robotsllmsaihumans	emailphone	none
how.dev ↗	44 match 2 shared topics	How.dev – Learn to Code from Scratch	en	web-development WordPress	robots llmsaihumans	emailphone	none
dot200.ai ↗	44 match 2 shared topics	dot200 - Learn to Code by Explaining Your Thinking	en	programming-languages	robotsllmsaihumans	emailphone	none
dot200.com ↗	44 match 2 shared topics	dot200 - Learn to Code by Explaining Your Thinking	en	programming-languages	robotsllmsaihumans	emailphone	none
standvoss.com ↗	44 match 2 shared topics	Len Standvoß	en	web-development	robotsllmsaihumans	emailphone	none
mcpforeveryone.com ↗	44 match 2 shared topics	MCP for Everyone - Learn Model Context Protocol	en	programming-languages	robotsllmsaihumans	emailphone	none
onlyfullstack.com ↗	44 match 2 shared topics	Only Fullstack - Learn Java, Spring and automation	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
100daysofcode.io ↗	43 match 2 shared topics	Learn programming in 100 days \| 100 Days of Code \| #100DaysOfCode	en	programming-languages	robotsllmsaihumans	emailphone	none
hewerton.dev ↗	43 match 2 shared topics	All posts \| hewerton.dev	en	web-development	robotsllmsaihumans	emailphone	none
haml.info ↗	43 match 2 shared topics	Haml	en	web-development	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.