Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to blunders.io

Blunders - Web based JVM profiling · ranked by shared content topics & relevance
62match
djangoly.com
Djangoly - Your Django Best Practices Companion
3 shared topicssoftware-and-applications
62match
agilestaffordshire.org
Agile Staffordshire » A user group for Agile, XP, Software Craftsmanship and Software Development, based in Stafford
3 shared topicstechnology-and-computing
62match
softwarequotes.com
Great Software Quotes | Programming Quotes| SoftwareQuotes.com
3 shared topicstechnology-and-computing
62match
softwareteaming.com
Software Teaming - Mob Programming. A Whole-Team approach.
3 shared topicsprogramming-languages
62match
ahmedsobhy.net
Ahmed Sobhy - Computer Engineering Student
3 shared topicstechnology-and-computing
62match
alexfilimon.dev
Aleksandr Filimonov — Senior iOS Developer
3 shared topicssoftware-and-applications
62match
kylebashour.com
Kyle Bashour | iOS Developer
3 shared topicstechnology-and-computing
61match
absolutevisions.net
absolutevisions.net-Home
3 shared topicsprogramming-languages
61match
fangcabrera.com
Fang Cabrera | Software Engineer
3 shared topicssoftware-and-applications
61match
newtabking.com
New Tab King | Tech Talks and Info
3 shared topicssoftware-and-applications
61match
alanw.org
Alan Wang - Software Engineer & Researcher
3 shared topicssoftware-and-applications
61match
kymind.com
KY|MIND
3 shared topicstechnology-and-computing
61match
kyungjae.com
Kyungjae's Website
3 shared topicsprogramming-languages
61match
al-roomi.org
Alroomi Website - Home
3 shared topicsprogramming-languages
61match
ashishkakkad.com
Ashish Kakkad - Technology Makes A Wonderful World
3 shared topicstechnology-and-computing
61match
adam-gordon.dev
Adam Gordon | Software Developer - Bachelor of Science in Computer Programming and Information Systems from Farmingdale State College
3 shared topicssoftware-and-applications
61match
somtoidafum.com
Somtochukwu Idafum
3 shared topicssoftware-and-applications
61match
bhixon.dev
Brett M. Hixon | Home
3 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.