Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to itram.dev

Martí Espinosa - iOS Developer | ITRAM · ranked by shared content topics & relevance
75match
hessianapps.com
Hessian Apps - iOS Developers
1 shared topicssoftware-and-applications
74match
swiftdev.dev
SwiftDev | iOS Developer
1 shared topicssoftware-and-applications
73match
dmitriivlasov.com
Dmitrii Vlasov - iOS Developer
1 shared topicssoftware-and-applications
72match
codehive.be 🇧🇪
CodeHive — Freelance iOS Developer in Belgium
1 shared topicssoftware-and-applications
72match
shandrakov.com
Artyom Shandrakov — iOS Developer
1 shared topicssoftware-and-applications
71match
swiftninjadev.com
Rajan Panchal — iOS Developer
1 shared topicssoftware-and-applications
71match
m-bilal.com
Muhammad Bilal - Senior iOS Developer Berlin
1 shared topicssoftware-and-applications
71match
andrealufino.com
Andrea Mario Lufino — Senior iOS & macOS Developer | Milan, Italy
1 shared topicssoftware-and-applications
70match
7afidi.com
Anas Hafidi — Mobile Developer
1 shared topicssoftware-and-applications
70match
ankushalg.com
Ankush Kumar | Mobile Developer | AnkushALG
1 shared topicssoftware-and-applications
70match
dipperads.com
Dipper | Global Mobile App Developer
1 shared topicssoftware-and-applications
70match
camiloorozco.com
Camilo Orozco - Software Engineer | Senior iOS Developer
1 shared topicssoftware-and-applications
70match
rhysle.com
rhysle - Indie App Developer
1 shared topicssoftware-and-applications
70match
svoboda.dev
Marek Svoboda - Lead iOS/macOS Developer
1 shared topicssoftware-and-applications
70match
pixeldock.com
pixeldock - iOS development
1 shared topicssoftware-and-applications
70match
andreitechcv.com
Andrei - Software Developer | CV
1 shared topicssoftware-and-applications
69match
moosa.io
iOS Development in UK/EU | AstroDeck
1 shared topicssoftware-and-applications
69match
heyvish.com
Srivishnu Ramakrishnan — Indie iOS App Developer
1 shared topicssoftware-and-applications

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.