I Asked Claude Code + GPT Image 2 To Make me Viral Ads
A 12-minute agency playbook for going from zero brief to ten finished static ads in under an hour using Claude Code and GPT Image 2.
May 23rdA founder who scaled one SaaS to 100,000 signups in 100 days lays out the four-step filter he'd use to start over with none of his reputation behind him.
In 2026, a $10,000/month AI SaaS is decided less by coding skill and more by three filters: a pain point that is financial and repetitive, a single narrow customer to build for, and a real distribution strategy.
The creator behind Verlo (100,000 signups, six figures in 100 days) breaks down the exact four steps he'd repeat from zero. First, only build for a pain point that's financially or emotionally costly AND repeats often enough to notice, quantified in real numbers rather than vague complaints. Second, resist going mass-market: pick one narrow ideal customer and one specific problem so the copy, landing page, and product all read as built for that one person. Third, treat marketing as the real differentiator, tracking what's already working in your niche instead of guessing, and using volume outreach to creators for content. Fourth, once you have paying customers, prioritize ten engaged, paying users over a hundred free signups, because paid users tell the truth and free users have no reason to.
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Establishes credibility (Verlo's 100k signups in 100 days) and states the thesis: a $10k/month AI SaaS in 2026 comes down to picking the right pain point, building for one person's problem, and marketing it properly. Coding ability is explicitly ruled out as the deciding factor.

A sellable problem needs two things: it hurts (financially, emotionally, physically) and it repeats often enough to notice. Walks through an agency losing $15k-$30k a week on slow lead scheduling, and names Calendly as the company that solved that exact pain with a single-purpose scheduling tool.

Going mass-market requires a budget bootstrapped founders don't have; marketing to everyone becomes marketing to no one. Instructs narrowing a broad category (content-feedback tool for 'creators') down to one specific segment, like TikTok shop agencies, so the landing page and product read as built for that exact person.

Distribution is framed as the real differentiator between an idea and a profitable business, illustrated with an AI football app that hit #1 free app in the UK App Store within days. Introduces Verlo (his own social listening tool for tracking viral TikTok/Instagram/YouTube Shorts trends) and Mockingbird (a tool for remixing top-performing Meta ads) as the distribution stack.

Argues for prioritizing ten engaged, paying customers over a hundred disengaged free users, because paid users tell the truth and free users have no skin in the game. Includes a mentor's line that free advice is worth exactly what you paid for it: nothing.

Recaps the four steps in order and points viewers to a longer masterclass video on building AI SaaS in 2026.
A sellable AI SaaS idea passes one filter (a pain that's financial and repeats), gets built for one narrow customer instead of everyone, and only becomes a business once distribution and paying-customer feedback take over.
“My friends, distribution is everything.”
“Now you could be losing anywhere from $15,000 to over $30,000 per week on these unconverted leads.”
“The riches are in the niches, and it's absolutely true.”
“I had a mentor once tell me that free advice is worth exactly what you paid for it. Nothing.”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
He grew one SaaS from zero users to over 100,000 signups and six figures in revenue inside 100 days, using organic marketing alone. Here he rebuilds the exact four-step process from scratch, minus the reputation and the head start.
A two-part test for whether a problem is sellable: it must genuinely hurt AND recur, not just be a one-time annoyance.
Narrow the target customer and the problem solved down to one specific pairing before building anything; that single decision simplifies the landing page, copy, and product scope.
The full framework the video walks through step by step.
“if you want to go a step further and see a masterclass that I delivered on how to build AI SaaS in 2026, you've got to check out the video right beside me”
Soft cross-promotion after the recap, framed as a natural next step rather than a hard sell.
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09:22Add Modern Creator as a preferred source and Google shows you more of our breakdowns in Search, Top Stories, and AI Overviews. It only changes what you see, and you can undo it in your Google settings anytime.
A 12-minute agency playbook for going from zero brief to ten finished static ads in under an hour using Claude Code and GPT Image 2.
May 23rdA solo founder walks through validating, building, launching, and growing Blotato to millions in revenue without hiring anyone until year two.
August 23rdA 7-minute live walkthrough of the two-prompt workflow that replaces a design team for interactive SaaS product demos.
June 4thA two-time SaaS founder walks through the four-step system he used to find ideas, build MVPs, and exit — without guessing.
May 29thNick Saraev built Clairvo — an AI power dialer at $1M ARR — using Claude Code, and this is the exact playbook: idea mining, the build loop, pricing strategy, and four moats that survive AI commoditization.
May 20thCraig Hewitt reverse-engineers Corey Haynes' open-source marketing skills pack — showing what makes a skill structurally powerful and demoing email sequences and CRO audits live.
January 28th