John Rice (@hello_code_) on X (Twitter)

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John Rice is a creator on X (Twitter) in the 1K–2K follower range, publishing for Startup founders and growth hackers focused on SEO, organic traffic, and AI-driven user acquisition. Profile last checked 2026-06-22.

Observed facts (from the public profile):

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

Recurring topics: AI startups over/underrated valuation, Generative Engine Optimization (why ChatGPT recommends compe, Better prompting techniques for coding models, Startup first-user acquisition tactics, AI eating traditional web traffic and platform economics

Audience: Startup founders and growth hackers focused on SEO, organic traffic, and AI-driven user acquisition

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 5 recent posts · updated 20 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)

What's the most overrated AI startup right now?

Every startup asks: "How do we rank #1 on Google?" Almost nobody asks: "Why does ChatGPT recommend my competitor?" That question will matter a lot more over the next five years https://t.co/Ha4cp9QNUg

Opus 5 isn't bad at coding. Most people are prompting it wrong. The biggest improvements I found came from telling it what not to do. Less narration. Less overthinking. Smaller diffs. Better code. This one prompt made…

How did you get your first 100 users? One tactic. No fluff.

See the original post on X (Twitter)

Where this creator sits among comparable accounts

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

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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.

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Machine-readable representations

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

• /kol/x/hello_code_.json
• /kol/x/hello_code_.md

AI retrieval activity

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