ArjanCodes (@ArjanCodes) on YouTube

Updated 2026-09-06

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ArjanCodes is a creator on YouTube in the 300K–400K follower range, publishing for Python backend developers and mid-level software engineers focused on code quality, architecture, and practical tool choices, based in Netherlands. Profile last checked 2026-09-06.

Observed facts (from the public profile):

FieldValue
PlatformYouTube
Handle@ArjanCodes
Followers300K–400K
Indexed underSoftware · Developer tools / infra
MarketNetherlands
Audience functiondevelopers

Profile bio

On this channel, I post videos about programming and software design to help you take your coding skills to the next level. I'm an ...

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: Python best practices and tooling, Rust concepts applied to Python, Dashboard building and performance, API design and architecture patterns, Code quality, naming, and refactoring, Memory management and security basics

Audience: Python backend developers and mid-level software engineers focused on code quality, architecture, and practical tool choices

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.75 · read from 48 recent posts · updated 82 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Where this creator sits among comparable accounts

Compared with the 803 accounts in the same group (youtube · kol · software):

DimensionPercentile in group
Overall79th
Authenticity52nd
Audience value71st
Focus & activity43rd

This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.

Koinon Link indexes YouTube creators in Software with grade, authenticity and contactability broken down — see the YouTube × Software breakdown, or the Creator Index Report for the whole index.

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Machine-readable representations

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AI retrieval activity

What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.

KindRequestsWhat it means
Indexing crawlers13Bulk indexing · Amazonbot, Applebot, ClaudeBot, Meta, PerplexityBot
User-triggered retrievals0none recorded yet

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