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 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to gurpreetsk.com

Gurpreetsk alternatives & similar sites

Gurpreet's thoughts — 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
bramcohen.com ↗	70 match 2 shared topics	Bram’s Thoughts \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	none
2bits.tech ↗	69 match 2 shared topics	2Bits - Thoughts & Code	en	programming-languages	robotsllmsaihumans	emailphone	none
bobbby.online ↗	68 match 2 shared topics	Thoughts and Tidbits	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
24daysindecember.net ↗	65 match 2 shared topics	24 Days in December – Thoughts of the PHPamily	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
gyassa.com ↗	64 match 2 shared topics	Gyassa \| General code and thoughts from an owner of Gyassa	en	programming-languages	robotsllmsaihumans	emailphone	none
jeromecukier.net ↗	64 match 2 shared topics	With Jeromecukier, It's all about Digital	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
jdoyle.io ↗	63 match 2 shared topics	A Programmer's Ramblings - Just some thoughts I wrote down to help future me and maybe you	en	programming-languages	robotsllmsaihumans	emailphone	none
jeremywinterberg.com ↗	63 match 2 shared topics	Jeremy Winterberg	en	technology-and-computing	robotsllmsaihumans	emailphone	none
tseeley.com ↗	63 match 2 shared topics	Thomas Seeley	en	technology-and-computing	robotsllmsaihumans	emailphone	none
davidtw.co ↗	63 match 2 shared topics	David Wood	Colombia en	technology-and-computing	robotsllmsaihumans	emailphone	full · 20
bloomfield.online ↗	63 match 2 shared topics	Peter Bloomfield	en	technology-and-computing	robotsllmsaihumans	emailphone	none
pythomazov.tech ↗	63 match 2 shared topics	pythoMazov \| Let's shake some snakes together!	en	programming-languages	robotsllmsaihumans	emailphone	none
donovanmaas.com ↗	63 match 2 shared topics	Donovan Maas	en	programming-languages	robotsllmsaihumans	emailphone	none
javvad.dev ↗	62 match 2 shared topics	Jawad Alsahlani — Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dragomirt.com ↗	62 match 2 shared topics	Home \| Dragomir Țurcanu ヽ(•‿•)ノ	en	technology-and-computing	robotsllmsaihumans	emailphone	none
robertsmetana.com ↗	62 match 2 shared topics	Robert Smetana – Team lead in software development	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
queiroz.tech ↗	62 match 2 shared topics	Lucas Queiroz	en	technology-and-computing	robotsllmsaihumans	emailphone	none
janvanderkamp.me ↗	62 match 2 shared topics	Jan van der Kamp \| Just a blog to show recent programming work	en	technology-and-computing 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.