Podbit · Starter Story
A founder growing hundreds of thousands of users across multiple AI products uses four channels in order: SEO first, then social media across X, LinkedIn, Substack, and Facebook, then directory listings, then cross-promotion across his own portfolio. The playbook is simple but the sequencing matters.
When you build multiple products, every new user becomes a potential customer for everything else you've built. This founder's cross-promotion strategy means users who try one product reliably discover — and adopt — his others.
Before any marketing channel, the quality of the product is the foundation. Good marketing amplifies a good product — it cannot rescue a bad one.
Rather than picking one social platform, this founder runs social media marketing simultaneously across X, LinkedIn, Substack, and Facebook. Presence everywhere maximises reach across different audiences.
Most founders sharing their journey on X never go viral because they post into a vacuum. The fix is simple: attach your content to conversations that already have momentum, because human attention is finite and 100x easier to redirect than to create.
A single tweet hit nearly 500K impressions not by luck, but by design: a clean visual demo, authentic human reaction, and — most critically — a hook tied to the AI coding debate dominating the feed at the time. Trend-riding is a repeatable skill, not a fluke.
Human attention span is limited, and most content creators waste energy trying to manufacture it from scratch. The smarter move is to find where attention is already pooling and bring your ideas there — the math is 100x in your favour.
Audience-building isn't a shortcut — it's a 3-year content grind before the product even exists. The speaker reveals that his monetisation success was entirely downstream of years spent tweeting daily and creating content, not talent or luck.
Building a monetisable audience on Twitter costs just 5 minutes a day — but it has to happen every day for years. The time barrier is low; the consistency barrier is where most people fail.
The AI bubble is not a question of if but when — Dalio says all the classic warning signs are present and the data is consistent with the peak being very soon. He calls it the biggest investment bubble in American history.
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