A paid job board that scrapes company career pages and uses repeatable social content to reach job seekers.
Roman reruns the same "companies hiring remotely and worldwide" list video through older creators paid about $20 each — timeless formats, not trends, drove 11.7M views in 30 days to a plain job board.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Roman, a nontechnical founder, runs Career Hound, a job board that collects roles directly from company websites. He and an online collaborator turned a job-finding process into a product, initially hoping to make $1,000 each. Roman reported more than 8,000 users, 779 active subscriptions, $12,000 MRR, and $28,000 total revenue in the most recent month. Plans cost $7 weekly, $20 monthly, or $50 annually; average lifetime value is about $50 and churn runs at 31%, high because users leave once they land a job. The business reached 11.7 million social views in the prior 30 days. Roman attributes distribution to systematic audience research and repeatable content, often produced by older creators who make job advice feel credible. He spends time studying formats on Instagram, Reddit, and TikTok, then gives creators tightly specified briefs. The product is simple, but fresh listings and sustained acquisition are essential because customers may leave after finding work.
For a job board, the first customers are people with an immediate search problem, so start where job seekers already look for trustworthy leads.
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Data credibility: Roman, the founder, reported revenue, subscribers, pricing, lifetime value, churn, views, and creator costs. These are founder-reported and were not independently verified in the interview. The churn measurement period is unclear.
For a paid job board, the first dollar comes when a job seeker decides the listings are worth paying for before seeing them all, so make that moment measurable rather than assuming traffic equals intent.
The growth loop connects audience research, repeatable content, creators, and a simple product. Roman spends hours studying videos and text across Instagram, Reddit, and TikTok to identify durable job-search topics, then turns those insights into formats creators can reproduce.
A job search often produces little visible progress, and paid subscribers may disappear as soon as they find a role. Roman said he persisted for two years before the content system worked.
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