similar sites

Browse

AI Report Tools

Sites similar to cyclehacker.com

Cyclehacker alternatives & similar sites

Cyclehacker - Charts solo cyclist Fraser Baillie on a 40,000 mile journey through 50+ countries. Inspirational posts from the road exploring themes of personal growth, self learning and positive change through long distance cycling. — 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 Cycling →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cycling-intelligence.com ↗	66 match 1 shared topics	Cycling Intelligence – On cycling, long distances and short ones	en	cycling WordPress	robotsllmsaihumans	emailphone	none
cyclingthepaperoad.com ↗	66 match 1 shared topics	Cycling the Paper road – two women cycling east through Europe—Asia, tracing the history of paper	en	cycling WordPress	robotsllmsaihumans	emailphone	none
cyclingranking.com ↗	66 match 1 shared topics	CyclingRanking.com - Ranking of the best pro cyclists since 1869	en	cycling	robotsllmsaihumans	emailphone	none
cyclingfever.com ↗	65 match 1 shared topics	- CyclingFever - The International Cycling Social Network - Get the Cycling fever!	en	cycling	robotsllmsaihumans	emailphone	none
cycliststouringclub.org ↗	65 match 1 shared topics	Cycling UK \| Happier, healthier and greener lives through cycling	en	cycling Drupal	robotsllmsaihumans	emailphone	none
cyclinguk.org ↗	65 match 1 shared topics	Cycling UK \| Happier, healthier and greener lives through cycling	en	cycling Drupal	robotsllmsaihumans	emailphone	none
cyclingholidays.org ↗	65 match 1 shared topics	Cycling UK \| Happier, healthier and greener lives through cycling	en	cycling Drupal	robotsllmsaihumans	emailphone	none
audax.org.au ↗	65 match 1 shared topics	Audax Australia – Welcome to Australia’s Long Distance Cycling Club	AU en	cycling WordPress	robotsllmsaihumans	emailphone	none
cyc67ler.com ↗	65 match 1 shared topics	Cycling the World	en	cycling WordPress	robotsllmsaihumans	emailphone	none
cyclinglevel.com ↗	65 match 1 shared topics	Cycling Level - Cycling Calculator, Times and Standards	en	cycling	robotsllmsaihumans	emailphone	none
cycling-motivation.com ↗	65 match 1 shared topics	Cycling-Motivation.com \| Your Complete Cycling Inspiration Hub	en	cycling	robotsllmsaihumans	emailphone	none
cyclingover40.com ↗	65 match 1 shared topics	Cycling Over 40 - Cycling for the Mature Cyclist	en	cycling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyclingjourneys.com ↗	65 match 1 shared topics	Cycling Journeys — Guided Cycling & Travel Adventures	en	cycling	robotsllmsaihumans	emailphone	none
swamisteamfun.com ↗	65 match 1 shared topics	Swami's Team Fun \| Woman-Focused Road Cycling Group, part of the larger Swami's Cycling Club	en	cycling WordPress	robotsllmsaihumans	emailphone	none
johnnyisaak.com ↗	65 match 1 shared topics	Johnny Isaak \| Adventure Cyclist - A compendium of adventure cycling chronicles, travel lore, tips, techniques, and tactics for the adventure cycling perplexed.	en	cycling WordPress	robotsllmsaihumans	emailphone	none
cyclestreets.net ↗	64 match 1 shared topics	CycleStreets: Cycle journey planner and Photomap: Cycle journey planner	en	cycling	robotsllmsaihumans	emailphone	full · 20
cyclerly.com ↗	64 match 1 shared topics	Cyclerly - Daily Cycling Trivia Game \| Guess the Cyclist	en	cycling	robotsllmsaihumans	emailphone	partial · 8
2cycletheworld.org ↗	64 match 1 shared topics	2cycletheworld \| 2 wandering cyclists discovering the world	en	cycling 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.