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He quit big tech in October, built with zero revenue for two months, peaked at $8K/month by March — then watched it slide to $6.7K on churn and went back into a deep build phase.
dropped to ~$6,700/month in the following four weeks · $0 revenue for the first two months post-quit (October to December) · significant churn, acknowledged on camera
"We were building for 2 months with no users and no revenue, and we had no product. Then we grew to 8K. Now we kind of shrank back down. We hit a lot of churn." A six-month update where the graph goes down and the founder posts it anyway.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
The founder of Yorbie quit his big-tech job in October 2025 to build his own startup, and he posts periodic public updates. This is the six-month one; there was a four-month version before it. The timeline is unusually clean. October to December: heads down building, zero revenue. December through the end of March: real growth, peaking at $8,000 a month. Then, in his own words, "since then, we've actually been, you know, I guess in some words, kind of struggling a little bit." He pulls up the last four weeks of gross volume and it has dropped from $8,000 a month to $6,600, then corrects himself, $6,700. "Obviously that's not great." The rest of the video is him working through what to do about it, and the conclusion is a pivot into content generation. His summary of the whole arc is the most honest sentence in the corpus: "we were building for 2 months with no users and no revenue, and we had no product. Then we grew to 8K. Now we kind of shrank back down. We hit a lot of churn. Our revenue has dropped. And now we're back in a really deep building phase." He also says he doesn't think he's in a honeymoon phase anymore, and that he'd rather be doing this than anything else.
October to December was heads-down building with no users and no revenue, so when customers did arrive they came through one channel, and that channel is not a person. The account that markets Yorbie is synthetic: "this person is AI.
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Join the Unicorn Club — $5/moCancel anytime, in one clickEvery claim traces back to a listed source — open any of them and check the number yourself. The exact words are quoted below, with a timestamp that jumps to the second each figure is said.
“And through that, up through the month of March, we actually peaked at 8 grand a month of revenue.”
1:33 · hear it in the video“I'm going to retire soon." And then the next month we dropped down a lot to only 6.6, 6.7 grand a month of revenue.”
2:16 · hear it in the videoData credibility: A founder's own six-month public update on his YouTube channel. He shows Stripe gross volume on screen and states the numbers verbally: approximately $8,000/month at the March peak, dropping to $6,600 then corrected to $6,700 over the following four weeks, and $0 revenue from October through December while building. No pricing tiers, customer counts, ARPU, trial conversion or precise churn percentage are given, so the composition of the revenue is unknown. Nothing about the tech stack, infrastructure costs, team size or compensation, funding, or burn rate is disclosed; the entire 'Stack, costs, and margins' section here is our own analysis of what the described product necessarily requires, and is labeled as such. Acquisition channels are not discussed at all. The notable thing about this source is its direction of bias: the founder is voluntarily publishing a declining revenue chart and using the words 'struggling' and 'not great' about his own business, which is the opposite of the incentive that distorts most revenue claims. Nothing is being sold in the video.
Revenue sat at exactly $0 from October to December while they built, then started once the product existed and the synthetic marketing account was running. It climbed through the end of March to about $8,000 a month in Stripe gross volume.
The loop that genuinely works here is that their own marketing doubles as their product research. They grew Yorbie with AI-generated content, and the confidence to build the AI UGC studio comes straight out of that: "we are literally the same customer that we ideally want to serve.
He funded the silence before he entered it. He only quit in October 2025 once his social media income alone covered food and housing, then raised money from Jason Calacanis and held savings behind that: "not only did I have a backup plan A, I had a backup plan B, and a backup plan C."
Yorbie is a social media marketing tool with a stated end goal of becoming "this AI social media marketer for you," which he immediately concedes is ambiguous and hand-wavy. The concrete version is three features. One, a viral content database: search across accounts, posts and brands with natural-language queries — his demo query is "show me trending Korean beauty content" — returning recent posts and accounts worth following for inspiration. Two, a content remixer: upload any video you found, describe how you want it transformed for your brand and niche, and the tool remakes it while preserving the original's viral format. That last constraint is the actual product thesis — the claim is that the format is what travels, and the specifics are what you swap. Three, an account spy tool: enter any TikTok or Instagram account, monitor it, and get alerted when one of its posts takes off so you can produce your own version quickly. Taken together it is a competitor-mining pipeline for short-form video, aimed at brands and creators who need volume and don't want to invent formats from scratch.
Subscriptions, shown as Stripe gross volume on screen. The trajectory is the entire story: $0 for two months while building, then growth through December to March reaching about $8,000 a month, then a drop to roughly $6,700 over the following four weeks. He names churn as the cause directly and repeatedly, without softening it. No pricing tiers, customer counts, ARPU, trial conversion or precise churn percentage appear anywhere in the video, so the composition of that $8,000 is unknown. What he does describe is the internal conversation, and it is a good one to overhear: "what do we need to do now to help us reach a new revenue milestone? To meet that 8K a month again, but to go beyond that to the 10, the 15, the 20K a month." Their answer is a pivot into content generation — moving from a tool that finds and remixes other people's content toward one that produces content directly. Our read: that pivot is a reasonable response to churn in this category, because inspiration tools are used intensely for a few weeks and then abandoned, while a tool that produces the actual deliverable gets embedded in a weekly workflow.
The video does not cover acquisition channels, ad spend, or where the customers came from, which is a real gap in an otherwise transparent update. What is visible is that the founder runs a public build-in-public YouTube channel with periodic revenue updates, and mentions content and social media as an ongoing activity that is "still going" alongside the product. Our read on the shape of the growth: going from zero to $8,000 a month in roughly four months with a small team, in a category full of established competitors, most plausibly came from audience-adjacent distribution — the founder's own content plus the tool's natural fit with creator communities — rather than from paid acquisition, which is expensive in this space. The absence of any acquisition discussion in a video that otherwise discusses revenue, churn and strategy openly is itself informative: the problem he is working on is retention, not top-of-funnel, and the pivot he describes is a product answer rather than a marketing one.
Not disclosed. No stack, no infrastructure costs, no team compensation, no margin, and no burn rate appear in the video. What we can say from the product description is what such a system necessarily requires, marked clearly as our own analysis: continuous ingestion of TikTok and Instagram posts and their engagement metrics at scale, which is either an expensive third-party data provider or a scraping operation with ongoing maintenance; a semantic search layer over that corpus to support natural-language queries like "trending Korean beauty content"; video processing and generation for the remixer, which is the single most expensive component per unit of usage; and an alerting pipeline for the account-spy feature. Every one of those is a recurring cost that scales with usage rather than with revenue. Our read: in a business at $6,700-8,000 a month gross, with video generation as a core feature, cost of goods is likely a meaningful share of revenue — which makes the churn problem more urgent than the top-line number suggests, because each churned customer was probably contributing less net than their subscription price implies.
Copy the transparency, unironically. Posting a revenue update where the line goes down is rare and it is the reason this case is more useful than a dozen growth stories. Copy the diagnosis discipline — he identifies churn as the problem rather than chasing more signups, and responds with a product change aimed at the reason people leave. Copy the product thesis behind the remixer, which is genuinely sharp: preserve the format, change the specifics. That is how short-form content actually spreads and it applies whether or not you build software around it. What to change: the category. Competitor-mining and content-inspiration tools are among the most crowded in software, and they have a structural retention problem — a user needs inspiration urgently for three weeks and then either has a system or has quit. Our read: the durable version of this product is the one he is pivoting toward, where the tool produces the finished deliverable on a schedule and becomes part of a weekly operating rhythm. If you build in this space, start there rather than arriving at it after a churn crisis, and price by output volume so your costs and your revenue move together.
Churn is the documented risk and it is already happening — a 16% drop from peak in four weeks, self-reported, with the founder unable to name a fix beyond a pivot. In a category where the core value is inspiration rather than output, that is structural rather than fixable by better onboarding. Second, platform dependency on TikTok and Instagram for the data the entire product is built on; both actively restrict scraping and change APIs, and a change would break the database, the spy tool and the remixer simultaneously. Third, competition is severe and well funded, with the additional problem that the major platforms themselves ship native trend and inspiration features for free. Fourth, cost structure: video generation and continuous social data ingestion are usage-scaling costs on a subscription price that is fixed, which compresses margin exactly when usage grows. Fifth, this is a small team with no disclosed funding, two months of zero revenue already spent, and a founder who quit a big-tech salary — the runway pressure is real even though he doesn't quantify it. Sixth, all figures are self-reported in a personal YouTube update, though he does show gross volume on screen and the numbers are unflattering, which counts in their favour.
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