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Screenshot your chat with a girl, and an AI tells you what to text back — a 23-year-old who could not code shipped it by asking ChatGPT how, then spent $100 on one video and went to ₩100M a month
₩100M/mo starting immediately after a single $100 video · ~₩140,000 (about $100, per the video) was the entire ad spend that triggered it
"Gold nuggets are lying all over the street and nobody thinks to pick them up." The analyst's point is that fewer than one in a hundred people who understand how trivially easy this build is will actually ship it — which is the entire moat.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
A Korean business channel breaks down a 23-year-old called Blake who, over roughly eighteen months, shipped three apps built on ChatGPT and — per the narrator's research — did about ₩3 billion in revenue. (Note the discrepancy up front: the video's own title claims ₩13 billion; the spoken audio says ₩3 billion.
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Data credibility: Third-party analysis in Korean, not a founder interview. The narrator says he researched the case; no dashboard, screenshot, App Store data or third-party source is shown or cited for any figure. Creator-reported and unverified: about ₩3 billion in total revenue across three apps in roughly 18 months, about ₩100 million a month beginning immediately after one video, and roughly $100 / ₩140,000 spent producing that video. ⚠️ Internal contradiction: the video's title claims ₩13 billion (130억) while the spoken audio says ₩3 billion (30억) — we report the audio figure and flag the conflict rather than picking the larger number. No pricing, download count, paying-user count, per-app revenue split or churn figure appears anywhere. Figures are kept in Korean won deliberately: the transcript gives no USD conversion for the revenue, and the only exchange reference in it ($100 ≈ ₩140,000, applied to the ad spend) is not something we extend to the revenue lines. The subject is identified only as "Blake," age 23; the video gives no country, city or company name, which is why region is null — the channel being Korean is not evidence about where he operates. Only one of the three products is named (rendered in the auto-captions as 리즈 GPT, read here as Rizz GPT); the calorie-counting app and the looks-rating app are described by function only, so we cannot rule out overlap with other entries in this index. Editorial note on incentives: the video closes by recruiting viewers into the narrator's own creator agency, so treat the numbers as promotional context rather than research.
The first version went nowhere, and the diagnosis is the whole lesson: who installs an app they have never heard of? Nothing in the build fixed that.
Pricing here is benchmarked against the cost of the goal rather than against other apps on the shelf, and that logic is the transferable part: men spend hundreds of thousands, even millions, of won trying to get a girlfriend, so a few tens of thousands of won for an app that helps is trivial by comparison.
What repeats is not the video, it is the format and the method underneath it.
There were two quiet stretches and they called for opposite responses. The first was the build.
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