Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to kossnick.com

David Kossnick · ranked by shared content topics & relevance
61match
mooktakim.com
Mooktakim Ahmed — Tech Founder & Engineer
2 shared topicstechnology-and-computing
61match
please-make-this.com
Please Make This
2 shared topicstechnology-and-computing
61match
ankitpansari.com
Ankit K. Pansari
2 shared topicstechnology-and-computing
61match
madeofcuriosity.com
Made Of Curiosity — Research-Led Product House
2 shared topicstechnology-and-computing
61match
andrewlagrange.com
Andrew La Grange
2 shared topicstechnology-and-computing
61match
shaunwmusic.com
Shaun Willis — Co-Founder, Product Engineer & SaaS Builder
2 shared topicstechnology-and-computing
61match
shaunwillis.com
Shaun Willis — Co-Founder, Product Engineer & SaaS Builder
2 shared topicstechnology-and-computing
61match
andrewqu.com
Andrew Qu
2 shared topicstechnology-and-computing
61match
dirvibe.com
DirVibe - Product Launch Platform
2 shared topicstechnology-and-computing
61match
moelabs.dev
MOELABS.DEV — Mohamed Saleh Zaied | Founder & Engineer
2 shared topicstechnology-and-computing
61match
hellowiseman.com
John Wiseman — Computer Engineer, Entrepreneur & Investor | Hello Wiseman
2 shared topicstechnology-and-computing
61match
henty.com
Steven Henty
2 shared topicstechnology-and-computing
61match
resetday.app
Yusuf Abdurakhimov - Product Engineer
2 shared topicstechnology-and-computing
61match
andy3.com
Andy Fisher - Builder of Digital Products for SaaS, E-Commerce and Marketplaces businesses.
2 shared topicstechnology-and-computing
61match
supermegalab.com
Super Mega Lab | We Build the Future
2 shared topicstechnology-and-computing
61match
techally.be 🇧🇪
Nicolas Cognaux (Gp2mv3) - Tech entrepreneur & engineer
2 shared topicstechnology-and-computing
61match
asaas.in 🇮🇳
aSaaSin | Production-Ready SaaS Starter Template | aSaaSin
2 shared topicstechnology-and-computing
60match
aneeras.com
Aneeras — Building Digital Products That Move People
2 shared topicstechnology-and-computing

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:

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.