REPLICATION GUIDE · AI Businesses

AI-driven R&D funding platform

Boast combines R&D tax-credit software with technical and tax specialists for companies in Canada and the United States.

● Already earning  $800K/mo  ·  Copy it for about $1.5M

Replication snapshot

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

Monthly revenue$800K/mo
Copy budget$1.5M
Growth channelsWord of mouth, Organic social media
Tools to copyZapier, Zoho Creator
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
AI drafts classifications only, under a no-training data agreement and human review; no GPU purchase or automated filing. Proposed twelve-month replica: interview twenty software-company CFOs/CTOs and specialist accountants. Total copy budget: $1.5M.

Want to see how that $1.5M 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

Boast combines R&D tax-credit software with technical and tax specialists for companies in Canada and the United States. It gathers project and financial evidence, assists claim preparation and provides audit support. Its current website remains active and claims over 2,000 North American customers. A 2020 company announcement identifies co-founders Alex Popa, formerly a tax-practice manager, and Lloyed Lobo, formerly in technology product and growth roles. Starter Story’s automated profile estimates approximately $850,000 monthly revenue for 2023, with unspecified currency and no audit. Current company revenue and profit are not verified.

Replication breakdown

01

Why it works — and where your opening is

Finance and engineering teams can struggle to reconstruct eligible research from scattered payroll, accounting and project records. Boast combines connected evidence and specialist judgment, potentially reducing collection work and improving traceability compared with manual reconstruction. These are value mechanisms; vendor efficiency claims are not independently verified here. Annual claims and continuous record capture create reasons to return, but subscription labels alone do not establish retention. Domain expertise, maintained integrations and trusted evidence histories may be defensible advantages. A newcomer must test a narrower jurisdiction and clearer exception explanations against Boast, rather than assume an incumbent capability gap.
02

The money: revenue, cost, and margin

Monthly revenue$800K/mo
Revenue per employee$83.3K /yr

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

Boast’s current revenue and profit are unknown; Starter Story’s approximately $850,000 monthly figure for 2023 is an unaudited estimate with unspecified currency. No telephone verification is available. Proposed startup cash is USD 1,500,000; modeled monthly revenue of USD 3,000,000 is startup × 2 only, not actual sales or a guarantee. An USD 8,000 pilot assumes expert work 2,400, support 400, cloud 200, AI/API 100 and payment fees 240: direct cost USD 3,340 and contribution USD 4,660 before acquisition, fixed costs and tax. Credits recovered for clients are neither Boast revenue nor profit.
03

Where the revenue comes from

Boast sells claim preparation and ongoing technical/tax support to businesses. Its current US comparison page describes charges based on delivered credit value rather than hours; Canadian customer terms defer fees to individual order forms. Historical collateral also describes contingent pricing. A current universal numerical tariff is not established. QuickFund separately advances funds against expected Canadian credits and describes accrued interest; principal and client refunds are not service revenue. Referral and platform partnerships provide distribution with individually discussed compensation. A replica could test a fixed project fee and optional annual renewal; lending requires separate licensing and funding.
04

Tools you need to replicate it

Boast’s official platform page describes its customer portal, AI classification, document management, role-based access and multifactor authentication. It names integrations including Jira, GitHub, QuickBooks, NetSuite and ADP. These are published delivery capabilities and integrations, not proof of its internal programming language, database, hosting vendor or model supplier, which remain unverified. A proposed replica could use TypeScript, PostgreSQL, encrypted object storage, managed authentication and a contractually protected AI API. Build the evidence-to-project mapping, review queues and audit exports yourself; qualified specialists must validate outputs rather than let software decide eligibility.

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 · Zara Saleh

Zara Saleh — from retail salesperson to copying a $800K/mo business: Ai-driven r&d funding

Two things were true at once: I was exhausted, and I was comfortable. Comfort was the problem. For 6 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-driven r&d funding, a copy-and-execute plan broken down to the numbers. 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. Their breakdown answered the three questions I actually had: how much to put in (about $1.5M), what to build it on (Zapier, Zoho Creator), and where the customers come from (Word of mouth, Organic social media). 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. Zapier, Zoho Creator first, then Word of mouth, Organic social media, then the outreach script — and two paying clients inside a month. The headline budget of about $1.5M 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 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. 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. 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 $800K/mo — I am not at that scale, and I don't need to be: I was earning around $1,500 a month as a retail salesperson in Tunis, 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. Nothing about my old life was broken. I just wanted a version of it that I owned. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-387-boast-ai?lang=en
Story by · Kenji Haddad

Kenji Haddad — from call-center agent to copying a $800K/mo business: Ai-driven r&d funding

I almost didn't believe it. I had been burned by "easy money" promises before. I read scripts to angry customers for 9 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-driven r&d funding written for someone with no budget and no team. The plan was brutally specific: a launch budget of about $1.5M, the exact tools it runs on (Zapier, Zoho Creator), the revenue channels that actually convert (Word of mouth, Organic social media), 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 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. I blocked out evenings and did exactly what the sheet said: Zapier, Zoho Creator set up, Word of mouth, Organic social media opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $1.5M 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. 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. 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 $800K/mo the original does — but more than the $1,800 a month I made as a call-center agent in Medellín, 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. Honestly, I'm still a little surprised it worked. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-387-boast-ai?lang=en
Story by · Amara Vargas

Amara Vargas — from line cook to copying a $800K/mo business: Ai-driven r&d funding

I did this for my daughter. I was tired of choosing between rent and her school fees. I worked the line in a restaurant kitchen for 12 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-driven r&d funding, what it costs to start, which tools it runs on, and how the first customer actually arrives. 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 $1.5M), the stack (Zapier, Zoho Creator), the channels that actually convert (Word of mouth, Organic social media), 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 Zapier, Zoho Creator, opened Word of mouth, Organic social media 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 $1.5M, 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. 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. 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 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 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 line cook in Lima on about $2,000 a month. Today this copy pays me more than that, and the business I copied is doing $800K/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. The first month I paid both without panic, I cried. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-387-boast-ai?lang=en

See all success stories → I copied this business — let me tell my story

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