REPLICATION GUIDE · AI Businesses

AI sports card scanner

Cardstock is Open Brace’s iPhone/iPad sports-card catalog and valuation app.

● Already earning  $100K/mo  ·  Copy it for about $500K

Replication snapshot

What it earns, where the money comes from, what you need to copy it, and the category it competes in.

Monthly revenue$100K/mo
Copy budget$500K
Growth channelsEmail marketing, Press
Tools to copyNot disclosed
CategoryAI Businesses

How to copy this business and make money

Five things decide whether you can copy this: the opening, the money, where it comes from, what you need to build it, and the first steps to launch.

QUICK LOOKFree summary — what it sells, and the total budget
Test transparent comparable-sale provenance and fast correction against incumbent scanners; neither advantage is established. Start with one sport and a licensed sample catalog. Total copy budget: $500K.

Want to see how that $500K splits line by line, what each line buys, and when to stop? The full breakdown is below.

PROVEN · ALREADY MAKING MONEY

Thousands of people are already making money with this playbook

If you want to make money, read this part. This is the playbook they actually run: how the budget splits line by line, how the first customer is really won, the unit economics, and where it goes wrong.

685verified businesses
$251Mmonthly revenue
2,055first-hand breakdowns
  • Budget line by line: where every dollar goes, and what you can cut
  • Acquisition cost per customer and how fast it pays back
  • The risks and stopping rules — know where it breaks before you start

Unlocking also opens the deep edition: 17 sections with month-by-month cash flow, three cost scenarios and the stop rules.

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Open-source stack you can start from

Each repository was checked against the GitHub API for existence, stars and licence terms. Fork one instead of starting from zero. Where it says AGPL, read the terms before shipping a paid product.

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Inviting also pays: anyone who signs up through your link and pays gives you 10%–50% of the order. How inviting pays →

What this business does

Cardstock is Open Brace’s iPhone/iPad sports-card catalog and valuation app. Collectors photograph cards, correct detected details, organize collections and compare similar eBay sales; estimates are not appraisals. The official site and Apple listing were available on October 19, 2026. Starter Story identifies founder Kyle Fowler, while the listing describes an independent developer solving his own collection problem. Its AI-researched revenue page relays a June 7, 2026 interview reporting about 15,000 active subscriptions and up to approximately $75K monthly recurring revenue, without a currency code or audit. This historical report does not establish current subscribers, revenue or profit.

Replication breakdown

01

Why it works — and where your opening is

Collectors can otherwise enter card attributes manually, maintain spreadsheets and search comparable sales separately. Combining capture, correction and catalog search may reduce repeated entry and make collection gaps easier to identify. These are workflow benefits, not measured savings. Saved collections and evolving checklists give collectors reasons to return as they acquire cards; subscription availability alone does not prove retention. Fowler’s account of building for his own collection suggests domain familiarity. No exclusive dataset, patent or durable moat is verified. A competing product would need to test correction quality and transparent valuation provenance against existing scanners rather than assume they lack those capabilities.
02

The money: revenue, cost, and margin

Monthly revenue$100K/mo
Revenue per employee$180K /yr

Estimated from technical complexity, people, tools, and delivery scope.

Starter Story’s AI-researched page relays a June 7, 2026 founder interview reporting up to approximately $75K monthly recurring revenue; currency code, expenses and profit are unverified. No telephone verification is documented. The retained replica planning model is USD 500,000 startup multiplied by two, or USD 1,000,000 monthly modeled revenue, because the public report is not a reliable current operating measurement. This is neither actual Cardstock revenue nor a forecast. Revenue is not profit. Replica costs include paid engineering, support, licensed card data, AI/OCR inference, hosting, acquisition and platform billing; actual company costs remain unknown.
03

Where the revenue comes from

The US Apple listing offers a free download and automatically renewing subscriptions that unlock Unlimited Access. A Get Annual Access purchase is listed at USD 19.99, but other displayed purchase labels do not clearly map prices to terms; the complete tier structure and free allowance remain unclear. Payment is applied on confirmation, and customers manage cancellation through their Apple account. Starter Story additionally classifies one-time or lifetime deals, unconfirmed as current offers here. The verified conversion mechanism is in-app subscription access; developer receipts, subscriber mix and net platform proceeds are undisclosed. Replica pricing below is a proposed test.
04

Tools you need to replicate it

Official pages describe camera scanning, AI/OCR identification, editable card records, folders, checklists, eBay comparable-sale lookup, iCloud synchronization and CSV export. These establish product capabilities, not the internal model, data license or complete architecture. Starter Story’s AI-compiled tools page attributes an AWS EC2 card-database backend and RevenueCat subscription SDK to founder statements; this secondary attribution is not an independently audited stack inventory. Apple provides the distribution and in-app subscription channel. The full production stack and current data-provider agreements remain undisclosed. The proposed SwiftUI, StoreKit and backend design below is a separate replica recommendation.

Success stories from this field

Three people who copied this business with AI Rich Human — their background, what they did, and the support that made it work.

Story by · Ravi Diallo

Ravi Diallo — from security guard to copying a $100K/mo business: AI sports card scanner

Everyone in my family works shifts. Nobody has ever run a business. I decided to be the first. I stood at the same gate for 17 years as a security guard, twelve-hour rounds, minimum wage. Then a friend sent me a link to AI Rich Human. I expected another "get rich online" course and almost closed the tab. Instead I found real businesses that already make money — named companies with real revenue — and, for AI sports card scanner, a copy-and-execute plan broken down to the numbers. Their breakdown answered the three questions I actually had: how much to put in (about $500K), what to build it on (off-the-shelf tools), and where the customers come from (Email marketing, Press). Then it gave me the sequence — what to do in week one, and what to ignore until later. I worked through the checklist in order. off-the-shelf tools first, then Email marketing, Press, then the outreach script — and two paying clients inside a month. The headline budget of about $500K is not a day-one number; I spent the minimum that could produce one customer and let the rest come out of earnings. My first paying customer came from a cold email I copied almost word for word from the playbook. I was scared to hit send. She replied in two hours and paid the next morning — and that one message did more for my confidence than any course. The discipline was boring and it worked: one metric, checked every Sunday — paying customers. Growth meant more of the same channel. A flat week meant a different offer, not a different business. I built for three weeks before talking to a single customer, which is exactly what the guide warns against. My first five conversations changed the offer completely. I wish I had done those five calls in week one. I expected a course and got a technical partner. Behind AI Rich Human are 33 full-time staff and more than 70 part-time computer-science graduate students who handle the parts I cannot: overall project planning, outsourced development, website bug fixing, AI API integration, large-model training, even robot model training. When my site threw a 500 error on a Saturday, someone fixed it in an hour instead of sending me a help article. I undercharged for two months out of fear. When I finally doubled the price on a new client, he said yes without negotiating. The cheap clients had been the difficult ones all along. There is no office and no boss. Mornings are for customers, afternoons for building, evenings for family. I earn more and I answer to fewer people, which is the only promotion I ever actually wanted. My brother laughed when I told him. My old manager said I was throwing away a stable job. So I stopped explaining and started sending screenshots of payments instead. Nobody argues with a bank notification. Today my copy of it pays me every month. The business I copied runs about $100K/mo — I am not at that scale, and I don't need to be: I was earning around $5,000 a month as a security guard in Marseille, and this already beats that, with room to grow. I am not a genius and I cannot code. What changed was copying a proven plan with a team behind me. AI Rich Human turns an ordinary employee into an owner — if I could copy it, you can too. My mother still doesn't fully understand what I do — but she stopped telling me to find a "real job". The project I copied, in full: http://www.airichhuman.com/stories/starterstory-338-openbraceapps-com?lang=en
Story by · Alina Khan

Alina Khan — from warehouse worker to copying a $100K/mo business: AI sports card scanner

I am not the type who starts things. I have a folder full of half-finished plans. This one was different, because the steps were already written down. I spent 5 years on night shifts in a warehouse, scanning parcels. No degree, no savings. A colleague forwarded me AI Rich Human during a lunch break. I scrolled past the hype and landed on the part that mattered: actual companies, actual revenue, and a step-by-step breakdown of AI sports card scanner written for someone with no budget and no team. People at work found out and made jokes about "internet money". I stopped defending it and just showed the payout screen. The jokes stopped when the numbers got boring and regular. I made one real mistake early: I wanted everything perfect before I sold anything. Two weeks passed — I had a logo, a website, and zero customers. The plan says it plainly: sell first, build second. The moment I sent five rough cold messages, the business started moving. The plan was brutally specific: a launch budget of about $500K, the exact tools it runs on (off-the-shelf tools), the revenue channels that actually convert (Email marketing, Press), and the first steps to land a paying customer. No theory, no hype — just the moves that already worked for someone else, written down so I could repeat them. I blocked out evenings and did exactly what the sheet said: off-the-shelf tools set up, Email marketing, Press opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $500K up front — I put in just enough to get one person to pay, then recycled that money. What actually saved me was the team. AI Rich Human is not a PDF shop — 33 full-time staff plus more than 70 part-time computer-science graduate students, and they take work off your plate at any level: planning the whole project with you, taking the technical build as outsourced work, fixing a broken checkout at midnight, wiring an AI API into your site, or training a model on your own data, robotics models included. When my payment page died on a Friday night, a real engineer answered. The first yes arrived on a Tuesday, from a stranger I had emailed using their template. I rewrote maybe four words. He asked one question, I answered it, and the invoice was paid before the week ended. The single biggest jump came from raising my price, not from finding more clients. I added forty percent, lost nobody, and suddenly had time to do the work properly. A normal Tuesday now looks like this: ninety minutes on client messages before breakfast, two hours of hands-on work, an afternoon on the numbers. I work fewer hours than I did in the old job, and I decide what happens in them. That part I still can't get used to. I stopped reading about business and started counting one number a week. If paying customers went up, I repeated whatever I had done. If they didn't, I changed the price or the pitch. That was the whole system. My version is small and it is mine. It earns less than the $100K/mo the original does — but more than the $1,200 a month I made as a warehouse worker in Tulsa, and it grows while I sleep. I cannot code and I have no rich uncle. I had a plan, a link, and a team I could call. That was enough, and it can be enough for you. That folder is still there. This is the only file in it that ever made money. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-338-openbraceapps-com?lang=en
Story by · Hiroshi Chen

Hiroshi Chen — from delivery driver to copying a $100K/mo business: AI sports card scanner

The honest version: I was looking for a way out that did not require a résumé. I drove deliveries for 8 years, paid per drop, my back and my bank account both aching. I found AI Rich Human through a search I had almost given up on. What kept me there was not a promise but a spreadsheet: AI sports card scanner, what it costs to start, which tools it runs on, and how the first customer actually arrives. What I got was not a course but a build sheet — the launch budget (about $500K), the stack (off-the-shelf tools), the channels that actually convert (Email marketing, Press), and the order to do things in. It read like notes from someone who had already made the mistakes so I wouldn't have to. So I followed it, step by step. I set up off-the-shelf tools, opened Email marketing, Press first, and used their first-customer script to land my first two paying clients within a few weeks. The plan lists a full launch budget of about $500K, but nobody spends that on day one — I started with the smallest slice that could produce a paying customer, and reinvested from the revenue. I sent eleven messages before anyone answered. The twelfth person — a small studio owner — replied "how much?" and paid that afternoon. Eleven rejections cost me nothing but an evening. The part nobody advertises: there is a bench behind the plan. 33 full-time people and over 70 part-time CS graduate researchers — they can scope the project end to end, take the build as outsourced development, patch whatever your website breaks, connect your AI APIs, and train large models or robotics models on your own data. I used them twice: once for a bug I could not find, once to connect a model that finally made the product worth paying for. Nobody warns you about pricing. My first price was so low that I was busy all day and still broke. On the third client I raised it by forty percent and nobody blinked. That same client later sent me two referrals. I also learned to trust numbers over fear. Every week I tracked one thing: paying customers. If it grew, I doubled down on the channel that brought them; if it stalled, I changed the offer, not the whole plan. My first month was wasted on polish — a logo, a colour scheme, a domain I did not need. Nobody bought anything. Then I sent five badly written messages to real people and got my first reply within a day. Sell first, decorate later. My mother asked, twice, whether this was a scam. The third time she asked, it was to find out how much I was making. I did not convince anyone with words — the transfers did it. I still get up early, but now the first hour belongs to me, not to a commute. Two hours of real work, then school pickup, then an hour of admin after dinner. Same number of hours, completely different life. A year ago I was a delivery driver in Osaka on about $1,500 a month. Today this copy pays me more than that, and the business I copied is doing $100K/mo — proof the ceiling is far above me. Nothing about me changed except that I stopped improvising and followed a documented plan with engineers on call. It turned out the way out was a set of instructions, not a leap. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-338-openbraceapps-com?lang=en

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