similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔎Similar Site SearchFind websites like any domain 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to frle.dev

Frle alternatives & similar sites

Ivan Skorupan: Personal Site — 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
defaultcoder.com ↗	82 match 1 shared topics	Ajeet Sinha: Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mmorrow.dev ↗	80 match 1 shared topics	Matthew Morrow: Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abhimanyusantani.tech ↗	79 match 1 shared topics	Abhimanyu Santani: Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ginnyfahs.com ↗	79 match 1 shared topics	Ginny Fahs \| Personal site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
rexpaster.com ↗	79 match 1 shared topics	Rex Paster \| Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
vkv-apps.net ↗	77 match 1 shared topics	VKV — Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
benbetts.com ↗	74 match 1 shared topics	benbetts.com \| The personal site of Ben Betts. A sysadmin.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dbenedict.com ↗	74 match 1 shared topics	David Benedict - Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcvickar.org ↗	74 match 1 shared topics	Jack McVickar - Personal Site for Jack McVickar	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
bebrio.ai ↗	72 match 1 shared topics	Brio - Your Personal VA	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kharit.blog ↗	72 match 1 shared topics	kharit.blog \| A personal blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
w1npt.com ↗	72 match 1 shared topics	Endless Wave \| A Personal Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mnguyen.dev ↗	72 match 1 shared topics	Home \| M’s Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alankay.net ↗	71 match 1 shared topics	Alan Kay's Personal Website	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dsmmasterful.tech ↗	71 match 1 shared topics	DSMMasterful – Personal Blog	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
simondean.org ↗	71 match 1 shared topics	Simon Dean's personal blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
demireleren.com ↗	71 match 1 shared topics	Eren Demirel - Personal Site	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
kewinremy.com ↗	71 match 1 shared topics	Personal Notes	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.