REPLICATION GUIDE · AI Businesses

AI virtual try-on platform

Genlook is a bootstrapped B2B virtual try-on service that helps fashion shoppers preview garments, founded in France in 2025 by former Shopify app developer Thibault Mathian and based in Grenoble.

● Already earning  $10K/mo  ·  Copy it for about $32K

Replication snapshot

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

Monthly revenue$10K/mo
Copy budget$32K
Growth channelsEmail marketing, SEO
Tools to copyShopify
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
Interview 15–20 French-speaking WooCommerce/PrestaShop stores or agencies; run one free demonstration account then one paid store-month. Disable renewal during this eight-week pilot. Total copy budget: $32K.

Want to see how that $32K 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.

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$251Mmonthly revenue
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  • Budget line by line: where every dollar goes, and what you can cut
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  • The risks and stopping rules — know where it breaks before you start

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Open-source stack you can start from

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What this business does

Genlook is a bootstrapped B2B virtual try-on service that helps fashion shoppers preview garments, founded in France in 2025 by former Shopify app developer Thibault Mathian and based in Grenoble. Shoppers upload a photo to preview a merchant’s catalog garments. The product offers a storefront widget, Shopify app, WooCommerce/PrestaShop/Shopline integrations and a separate developer API. Its October 2026 company press page reports 1,200+ Shopify installs and 900+ stores active in the prior 90 days; neither is a paying-customer count. An August 24, 2026 interview reproduces founder-shared figures of $14,150.87 MRR and 250 paying stores, dated and unaudited, currency unspecified. Genlook is operating and adding product/API features.

Replication breakdown

01

Why it works — and where your opening is

Fashion shoppers cannot see how a garment may look on their own body before buying; Genlook’s founder says that uncertainty can cause hesitation and returns. The company says older try-on systems often needed 3D scans, studio imagery, long contracts and months of integration—its positioning, not an independent market study. Reusing catalog photos and adding a product-page widget can reduce setup work. Try-on-to-cart/order analytics let merchants test commercial impact, but images do not guarantee fit and attribution alone does not prove causation. Ongoing value depends on reliable category results and integration into product pages. A clone’s moat is unproven; French-language onboarding, catalog cleanup and category QA are testable service advantages, not established superiority.
02

The money: revenue, cost, and margin

Monthly revenue$10K/mo

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

FounderTrace (Aug. 24, 2026) reproduces founder-shared dashboard figures: $14,150.87 MRR after about nine months, $169,810.44 ARR and 250 paying stores; these dated, unaudited figures have unspecified dollar currency, not current verified accounts. Starter Story’s ~$14K/month 2026 entry is a single-source estimate that may overlap this case, not independent confirmation. The displayed $64,000 monthly figure is the $32,000 startup model ×2, not actual sales, a forecast, profit or a guarantee; profit and current invoices are unknown. The interview estimates monthly costs at ~$5,000 for image generation, €150–170 for infrastructure, ~€700 for software and ~€1,000 for office. Clone operating costs also include staff, payment fees, support, acquisition, refunds and privacy work.
03

Where the revenue comes from

Genlook’s Shopify storefront app combines recurring subscriptions with per-try-on overages: Free includes 10 monthly tries; listed paid tiers are $19.99, $29 and $99 per month with 100, 250 and 1,000 included tries. Its separate API has its own plans: the Sept. 24, 2026 changelog lists $20/1,000, $99/6,000 and $300/20,000 tries, plus custom plans from $1,000 monthly. Merchants can start with a free quota and upgrade for volume, analytics or API capacity. Source-dollar currency is unspecified. Consented email supports retention. For a clone, test prices against successful-generation cost, usage and support; list prices are not net revenue.
04

Tools you need to replicate it

Official pages verify the Shopify app/embed, REST API, TypeScript SDK, webhooks, asynchronous generation and integrations for Shopify, WooCommerce, PrestaShop and Shopline. Genlook says its fashion pipeline uses dedicated EU GPUs. Its Sept. 29, 2026 privacy policy names subprocessors including Google Cloud Storage/BigQuery and Vertex AI/Gemini, Comfy Cloud, RunPod, Decart, Render, Vercel, Clerk, Stripe and Polar. This supplier disclosure is not a complete architecture. Proprietary model weights and internal orchestration are not public. For a clone, I recommend a licensed try-on API, server-side keys, private image storage, a job queue and hosted billing; these are recommendations, not verified Genlook tools.

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 · Leila Kaur

Leila Kaur — from retail salesperson to copying a $10K/mo business: AI virtual try-on platform

I had already failed twice — a dropship store and a print-on-demand shop, both dead. For 5 years I sold phones in a mall kiosk — twelve-hour shifts, commission barely covering rent. 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 virtual try-on platform, a copy-and-execute plan broken down to the numbers. 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. Their breakdown answered the three questions I actually had: how much to put in (about $32K), what to build it on (Shopify), and where the customers come from (Email marketing, SEO). 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. Shopify first, then Email marketing, SEO, then the outreach script — and two paying clients inside a month. The headline budget of about $32K 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. 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. 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. 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. 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. 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. Today my copy of it pays me every month. The business I copied runs about $10K/mo — I am not at that scale, and I don't need to be: I was earning around $2,600 a month as a retail salesperson in Lyon, 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. Third attempt, but this time with an actual map. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-11-genlook-app?lang=en
Story by · Tunde Sato

Tunde Sato — from call-center agent to copying a $10K/mo business: AI virtual try-on platform

Everyone in my family works shifts. Nobody has ever run a business. I decided to be the first. I read scripts to angry customers for 8 years, monitored every second, burned out at twenty-eight. 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 virtual try-on platform written for someone with no budget and no team. The plan was brutally specific: a launch budget of about $32K, the exact tools it runs on (Shopify), the revenue channels that actually convert (Email marketing, SEO), 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: Shopify set up, Email marketing, SEO opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $32K up front — I put in just enough to get one person to pay, then recycled that money. 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. 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. 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. 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 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. 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. My version is small and it is mine. It earns less than the $10K/mo the original does — but more than the $3,000 a month I made as a call-center agent in Marseille, 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. 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-11-genlook-app?lang=en
Story by · Camila Rios

Camila Rios — from line cook to copying a $10K/mo business: AI virtual try-on platform

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 worked the line in a restaurant kitchen for 11 years — split shifts, burns, tips split three ways. 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 virtual try-on platform, what it costs to start, which tools it runs on, and how the first customer actually arrives. 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. 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. What I got was not a course but a build sheet — the launch budget (about $32K), the stack (Shopify), the channels that actually convert (Email marketing, SEO), 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 Shopify, opened Email marketing, SEO 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 $32K, but nobody spends that on day one — I started with the smallest slice that could produce a paying customer, and reinvested from the revenue. 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. 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. 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 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. 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. A year ago I was a line cook in Tulsa on about $3,400 a month. Today this copy pays me more than that, and the business I copied is doing $10K/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. 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-11-genlook-app?lang=en

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