Ed Kang (CFXO) (@edkang99) on YouTube

Updated 2026-08-29

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Ed Kang (CFXO) is a creator on YouTube in the 10K–20K follower range, publishing for Early-stage startup founders preparing pre-seed or seed rounds, especially those building pitch decks and learning investor expectations, based in Canada. Profile last checked 2026-08-29.

Observed facts (from the public profile):

FieldValue
PlatformYouTube
Handle@edkang99
Followers10K–20K
Indexed underFinance · Investing & markets
MarketCanada
Audience functionsales and lead gen

Profile bio

I'm a 7x founder with 2 exits. That's just a fancy way of saying I've "failed" a bunch of times, and that's why I use this channel to ...

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

Recurring topics: Startup pitch deck structure and mistakes, Pre-seed fundraising tactics, Investor scanning and AI tools for decks, Common founder pitch traps and emotional challenges

Audience: Early-stage startup founders preparing pre-seed or seed rounds, especially those building pitch decks and learning investor expectations

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.60 · read from 21 recent posts · updated 83 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 935 accounts in the same group (youtube · koc · software):

DimensionPercentile in group
Overall29th
Authenticity16th
Audience value58th
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 Finance with grade, authenticity and contactability broken down — see the YouTube × Finance 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 crawlers7Bulk indexing · Amazonbot, Applebot, ClaudeBot, Meta
User-triggered retrievals0none recorded yet

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