Daniel Faraday (@FaradayYouTube) on X (Twitter)

Updated 2026-07-05

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Daniel Faraday is a creator on X (Twitter) in the 4K–5K follower range, publishing for YouTube creators and personal brand builders, mainly independent creators and small teams trying to grow their channels, based in United Kingdom. Profile last checked 2026-07-05.

Observed facts (from the public profile):

FieldValue
PlatformX (Twitter)
Handle@FaradayYouTube
Followers4K–5K
Indexed underEntertainment · Mindset & relationships
MarketUnited Kingdom
Audience functioncontent creation

Profile bio

Founder of AttentionLabs. Building the largest personal-brands on YouTube, and sharing the lessons I learn.

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

Recurring topics: YouTube algorithm insights, Channel strategy audits and scoring, Free tools for video recommendation tracking, Legal growth cheats using pop culture

Audience: YouTube creators and personal brand builders, mainly independent creators and small teams trying to grow their channels

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 5 recent posts · updated 78 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.

Recent content samples (what the inference above was drawn from)

Get these tattooed on your partners forehead.
This feels like cheating. It can see EXACTLY where YouTube is recommending your videos within your niche. And you don't even need to enter a credit card. It's completely free.
Not ONE person has scored over 40/100 yet. This will make you realise how bad your YouTube strategy is. I only got 37. Try it for yourself. https://t.co/Wvhr0PsY2t
This is DEFINITELY an under-stated YouTube cheat. YouTube is one of the only industries where you can LEGALLY exploit copyrighted characters and pop-culture symbols. This is stupidly effective for sparking associated…

See the original post on X (Twitter)

Where this creator sits among comparable accounts

Compared with the 3,045 accounts in the same group (x · nano · software):

DimensionPercentile in group
Overall65th
Authenticity76th
Engagement quality32nd
Audience value55th
Focus & activity66th

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 X (Twitter) creators in Entertainment with grade, authenticity and contactability broken down — see the X (Twitter) × Entertainment breakdown, or the Creator Index Report for the whole index.

Other Entertainment creators on X (Twitter)

Creators next to this one by follower tier in the same slice. Each link opens that creator’s public profile — what they post about and who reads it, with no contact details.

This page lists public profile information only. It carries no contact details and no authenticity score. If you are Daniel Faraday and want this page removed, request removal.

Machine-readable representations

Structured twins of this page for AI and agents — every inferred field carries its source, confidence and freshness.

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 crawlers9Bulk indexing · Amazonbot, Applebot, ClaudeBot, Meta
User-triggered retrievals0none recorded yet

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