Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to skuscraper.com

SKU Scraper | Find Any Product by SKU, Extract Data & Images · ranked by shared content topics & relevance
66match
dev-hector.com
Hector — Developer & Product Builder
1 shared topicstechnology-and-computing
66match
adityabalki.tech
Retro Portfolio | Product Designer
1 shared topicstechnology-and-computing
66match
makrly.com
Makrly - Product Communication from GitHub
1 shared topicstechnology-and-computing
65match
cheviszhou.com
Chevis Zhou — Technical Product Designer | Portfolio
1 shared topicstechnology-and-computing
65match
andrapra.dev
Andra Pradana - Engineer & Product Builder
1 shared topicstechnology-and-computing
65match
chiaspeaking.com
Yun-Chia Lin — Product Designer
1 shared topicstechnology-and-computing
65match
deproductdojo.com
The Product Dojo — Where Utility Meets Mastery
1 shared topicstechnology-and-computing
65match
anass.dev
Anass Seghiar — Product & Platform Engineer
1 shared topicstechnology-and-computing
65match
peakampersand.com
Ampersand | Developer platform for Native Product Integrations
1 shared topicstechnology-and-computing
65match
iliili.dev
Indie Product Studio | iliili.dev
1 shared topicstechnology-and-computing
65match
narjitaujla.com
Narjit Aujla - Product Leader
1 shared topicstechnology-and-computing
65match
andrewcarver.net
Andrew Carver: Data-Driven Product & Analytics Leader
1 shared topicstechnology-and-computing
65match
ethangorman.com
Ethan Gorman — Product Engineer
1 shared topicstechnology-and-computing
65match
evephc.com
Eve Chen | Principal Product Designer | Growth, Hardware-Software Integration, Subscription Products
1 shared topicstechnology-and-computing
65match
peculiarvivek.com
Vivek Khatri | Product Engineer
1 shared topicstechnology-and-computing
65match
andrewjmcgehee.com
Andrew McGehee — Product Engineer
1 shared topicstechnology-and-computing
65match
aaronprice.org
Aaron Michael Price | Blog and Product Updates
1 shared topicstechnology-and-computing
65match
khushalgogia.com
Khushal Gogia – Product Analyst & Portfolio
1 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.