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Awesome iOS: A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects — 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
avesbox.com ↗	63 match 3 shared topics	Avesbox - Flutter & Dart ecosystem	en	software-and-applications	robotsllmsaihumans	emailphone	none
joedibruno.com ↗	62 match 3 shared topics	JoeDiBruno.com \| Project site of Joe DiBruno, engineer and computer scientist in the Philadelphia area	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
haxademic.com ↗	62 match 3 shared topics	GitHub - cacheflowe/haxademic: A personal toolkit for Java/Processing projects · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
nanoupdi.com ↗	62 match 3 shared topics	GitHub - umbertoragone/nanoupdi: NanoUPDI: The smallest USB Type-C serial UPDI programmer for your projects · GitHub	en	software-and-applications	robotsllmsaihumans	emailphone	none
dripbird.dev ↗	62 match 3 shared topics	GitHub - Voidious/dripbird: A TypeScript code refactoring tool that performs a small, opinionated set of automated refactors to code diffs. · GitHub	en	software-and-applications	robotsllmsaihumans	emailphone	none
carrioneprogrammer.com ↗	61 match 3 shared topics	Carrione & Swift	en	software-and-applications	robotsllmsaihumans	emailphone	none
uscope.dev ↗	61 match 3 shared topics	uscope: A New Debugger and Introspection Toolchain - Jim Calabro	en	software-and-applications	robotsllmsaihumans	emailphone	none
beagleg.org ↗	61 match 3 shared topics	GitHub - hzeller/beagleg: G-code interpreter and stepmotor controller for crazy fast coordinated moves of up to 8 steppers. Uses the Programmable Realtime Unit (PRU) of the Beaglebone. · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
devrace.com ↗	61 match 3 shared topics	Devrace - Software for Delphi, C++ Builder, Kylix, InterBase and Firebird \| Welcome to homepage	en	software-and-applications Bitrix	robotsllmsaihumans	emailphone	none
averagejake.com ↗	61 match 3 shared topics	Thinking Out Loud	en	technology-and-computing	robotsllmsaihumans	emailphone	none
salesforce-ninja.com ↗	61 match 3 shared topics	Salesforce Ninja \| Dashing through everyday coding problems	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
avoev.com ↗	61 match 3 shared topics	Home - Andrey Voev	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
joshspadd.com ↗	61 match 3 shared topics	Josh Hrach – iOS Developer	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
plyrum.com ↗	61 match 3 shared topics	Plyrum — Building in public	en	software-and-applications	robotsllmsaihumans	emailphone	none
uselora.dev ↗	61 match 3 shared topics	Getting started - Lora Developers	en	technology-and-computing	robots llmsaihumans	emailphone	none
joeferrara.com ↗	61 match 3 shared topics	Joe Ferrara – iOS UI Test Automation	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
josedelapuente.com ↗	61 match 3 shared topics	José de la Puente \| Python and Platform engineering	en	programming-languages	robotsllmsaihumans	emailphone	none
hathisoft.com ↗	60 match 3 shared topics	Home - Hathisoft	en	programming-languages 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.