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A page that shows a blank white screen pulls 800,000 monthly visits and an estimated $1,500-$2,500 a month, because nobody arriving is trying to buy anything — the RPM lesson every boring-tool builder skips.
whitescreen.dev: 435,000 monthly visits, 2 years old, 63% US traffic, 15,000 backlinks but only 83 'best links' · whitis.com: 33,000 monthly visits on DR 13 · deadpixeltest.org: 40,000 monthly visits · 'black screen' = 600,000 searches/month · estimated ad revenue: $1,500-$2,500/month
He first modelled the site at $10,000-$12,000/month using his directory RPMs, then discovered the truth: "with a wide screen, no one's really trying to buy anything" — same traffic, a fraction of the RPM. Commercial intent, not traffic, is the number that decides whether a boring tool is worth building.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Frey Chu found whitescreen.dev the way its users do: he was trying to concentrate during a morning deep-work session, searched for a blank white screen to park on his second monitor, and used it. Then he looked it up in Ahrefs and found 435,000 monthly visits, 63% of it US traffic, on a domain only two years old. That combination — enormous search volume, trivial build, young competitor — is the classic boring-tool signal, so he dug further and found the category leader, whitescreen.online, at 800,000 monthly visits, plus a weak player, whitis.com, still pulling 33,000 monthly visits on a domain rating of 13. He built and deployed his own competitor, widescreen.ai, in about a day of vibe coding with Claude Code, including a three-hour livestreamed build. Then, after shipping, he did the monetisation research he should have done first — and concluded the category leader is probably making $1,500-$2,500 a month, not the $10,000-$12,000 he had originally assumed by applying his directory RPMs. Our read: this is the most useful entry in the boring-tool category precisely because the number is disappointing. The build was correct, the keyword research was correct, and the business was still a bad trade — and the reason is a single variable most builders never check.
There is no outreach in this model. The first visitors come from a query already being typed 600,000 times a month, and the only question is whether Google hands over any of it.
The quick-reference card — acquisition channels, replication playbook, and risk map — is members-only.
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Data credibility: Creator analysis, not founder disclosure. The traffic figures (800,000 and 435,000 monthly visits, the 33,000 and 40,000 comparisons, 63% and 35% US splits, 15,000 backlinks / 83 best links, 600,000 monthly searches for 'black screen') are read off Ahrefs on screen and described aloud — third-party estimates, and Ahrefs traffic estimates routinely diverge from analytics reality. The revenue figure is the important caveat: $1,500-$2,500/month is the creator's own estimate after research, not a number either site's owner disclosed, and his first estimate for the same site was $10,000-$12,000/month, so his own error bar on this class of guess is roughly 5x. No owner was interviewed, no ad-network statement was shown. His own site, widescreen.ai, had just been deployed and submitted for indexing at the time of recording, with no traffic or revenue data at all.
Money arrives one way here, through display ads, so the first dollar is not a sale but a rate. Three multipliers set that rate: where the traffic comes from, what niche it sits in, and how much buying intent the visitor brings.
The compounding in a tool like this is page multiplication rather than word of mouth.
A new domain competing for head terms is the slowest feedback loop in this whole category.
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