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AI Utility App
An AI app that identifies an antique from a photo and estimates its market value, taken from launch to a $40K revenue month in its first quarter.
peak monthly revenue
0 to $40K
monthly revenue in the first quarter
$200K+
revenue in under a year
~$19K
peak MRR
The challenge
Antiques are hard to value. Identifying a piece and estimating what it is worth normally takes expertise and time most people do not have. The brief was an app that does it from a single photo: point the camera at an object, and get it identified with a market-value estimate in seconds. And it had to launch into a competitive category and win, not just exist. An AI identifier app is only as good as its accuracy and its ability to convert curious users into paying ones.
What we did
We designed, built, and launched Antique Identifier, then ran the growth engine that turned it into a real business.
The core is an AI pipeline that identifies an object from a photo and estimates its value from live market data. Before launch we benchmarked its accuracy against the top-ranked apps in the category, so it competed on quality from day one rather than hoping to catch up. Then we treated growth as the product: continuous A/B testing on the paywall, the onboarding funnel, trial structure, and the underlying AI model, each change measured against real revenue rather than guesses. This was not a build-and-hand-over. It was a build we kept optimizing week after week.
The result
Antique Identifier went from zero to a peak revenue month of over $40,000 within its first quarter, and generated more than $200,000 in its opening months, at a peak MRR near $19,000.
That is a real business built from a photo and an AI model, in a competitive category, in months. Getting an app to rank is one thing. Getting it to earn, at that pace, from a standing start, is the part that is genuinely hard, and it is what we do: build the product, then grow the revenue.
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