REPLICATION GUIDE · AI Businesses

Privacy-friendly web analytics

Plausible Analytics is an open-source web-analytics service for site owners, publishers, SaaS teams and agencies seeking clear traffic and conversion reports without profiling individual visitors.

● Already earning  $70K/mo  ·  Copy it for about $200K

Replication snapshot

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

Monthly revenue$70K/mo
Copy budget$200K
Build time6 months
Growth channelsWord of mouth, Referral Program
Tools to copyMailChimp, Digital Ocean
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
Compare one task with incumbents; measure setup/report value and renewal intent as hypotheses, not feature-gap claims. Charge proposed US$9 once after opt-in; no card, renewal, credits or overages. Total copy budget: $200K.

Want to see how that $200K 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

Plausible Analytics is an open-source web-analytics service for site owners, publishers, SaaS teams and agencies seeking clear traffic and conversion reports without profiling individual visitors. A lightweight script feeds a simple dashboard for sources, locations, devices, campaigns and goals; current docs also list live stats, funnels and Search Console. Checked 2026-10-18, official pages report 21,000+ paying subscribers, 313B tracked pageviews and a 10-person team. Uku Taht started alone in 2018; Marko Saric joined in 2020 for marketing/communications. The company says it is independent, profitable and subscription-funded. It self-reported $1M ARR in 2022; bare-$ currency is unspecified, and current revenue is undisclosed.

Replication breakdown

01

Why it works — and where your opening is

Publishers and small teams need traffic/conversion evidence but may find broad analytics complex or avoid persistent visitor profiles. A light script and one-page dashboard turn pageviews, sources, campaigns and chosen goals into operating signals; public code permits inspection. These vendor-described design choices do not guarantee customers avoid consent duties. Less profiling also means less behavioral depth for some uses. Recurring editorial and campaign decisions can use weekly traffic/goal comparisons, but retention is unproven. A new service could test publisher-specific migration guides and client-ready report templates to shorten agency onboarding. Plausible has exports, sharing and self-hosting; its open code may earn trust but can be forked. No defensible moat or feature gap is established; demand and switching remain hypotheses.
02

The money: revenue, cost, and margin

Monthly revenue$70K/mo

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

Current revenue, profit, cash and costs are undisclosed; Plausible says it is profitable and subscription-funded. Its June 22, 2022 company post reported $83,637 MRR and $1M ARR on June 2, with 7,000+ subscribers; founder-attributed, historical, unaudited, bare-$ currency unspecified. The April 29, 2026 company post says it took three years to reach $1M ARR and another three to multiply it several times, but gives no present amount. Exact current revenue remains unknown. Staff/support, EU hosting/event storage, security/backups, payments and acquisition are plausible cost drivers, not disclosed expenses; AI/API use is unknown. Replica only: USD $200,000 startup; $400,000/month is the clone budget×2 heuristic, not company revenue, forecast, profit or guarantee.
03

Where the revenue comes from

Plausible says subscriptions are its only revenue; it does not sell visitor data or fund itself through ads, affiliates or paid endorsements. The paid Cloud subscription provides hosted analytics and plan-specific features/support. Its 30-day trial needs no card and does not auto-convert; a site owner must choose a tier and subscribe. Plans use combined pageviews and custom events, with Starter, Growth, Business and custom Enterprise; the 10k pageview tier checked 2026-10-06 showed bare-$9/$14/$19 monthly, with no ISO currency code. CE is a distinct free self-hosted AGPLv3 edition, not a cloud revenue tier. The company cites historical growth through content, communities, search and word of mouth; these are neither revenue nor proven current mix.
04

Tools you need to replicate it

The Community Edition (CE) repo lists Elixir/Phoenix, PostgreSQL, ClickHouse, React/Tailwind, JS tracker, not Cloud’s stack. Docs list dashboard, CSV/Stats API, goals, Search Console, funnels, journeys, integrations. Cloud is paid/managed; CE is self-hosted AGPLv3-or-later; tracker MIT. AGPLv3 can require source-sharing for modified network versions; CE is not blanket permission for closed-source hosted resale. Sep 2026 policy says Plausible transiently processes IP/UA for approximate location and site/device hashes; raw values are not stored, salt deleted after 24 hours. Plausible claims no persistent IDs, but still processes daily hashes. Privacy policy says visitor data is processed entirely in the EU; account data may use trusted providers, some outside the EU under safeguards. Compliance claims are not guarantees.

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 · Sana Mensah

Sana Mensah — from caregiver to copying a $70K/mo business: Privacy-friendly web

There is a version of this story where I never clicked the link. I clicked it out of boredom at one in the morning. For 12 years I looked after elderly patients in their homes — lifting, cleaning, paid almost nothing. 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 Privacy-friendly web, 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 $200K), what to build it on (MailChimp, Digital Ocean), and where the customers come from (Word of mouth, Referral Program). 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. MailChimp, Digital Ocean first, then Word of mouth, Referral Program, then the outreach script — and two paying clients inside a month. The headline budget of about $200K 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 $70K/mo — I am not at that scale, and I don't need to be: I was earning around $3,400 a month as a caregiver in Guadalajara, 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. Boredom turned out to be the most profitable decision I made that year. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-108-plausible-io?lang=en
Story by · Viktor Ramos

Viktor Ramos — from security guard to copying a $70K/mo business: Privacy-friendly web

Two things were true at once: I was exhausted, and I was comfortable. Comfort was the problem. I stood at the same gate for 15 years as a security guard, twelve-hour rounds, minimum wage. 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 Privacy-friendly web 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 $200K, the exact tools it runs on (MailChimp, Digital Ocean), the revenue channels that actually convert (Word of mouth, Referral Program), 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: MailChimp, Digital Ocean set up, Word of mouth, Referral Program opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $200K 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 $70K/mo the original does — but more than the $3,800 a month I made as a security guard in Cebu, 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. 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-108-plausible-io?lang=en
Story by · Hana Alves

Hana Alves — from warehouse worker to copying a $70K/mo business: Privacy-friendly web

I almost didn't believe it. I had been burned by "easy money" promises before. I spent 3 years on night shifts in a warehouse, scanning parcels. No degree, no savings. 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: Privacy-friendly web, 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 $200K), the stack (MailChimp, Digital Ocean), the channels that actually convert (Word of mouth, Referral Program), 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 MailChimp, Digital Ocean, opened Word of mouth, Referral Program 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 $200K, 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 warehouse worker in Kraków on about $4,200 a month. Today this copy pays me more than that, and the business I copied is doing $70K/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. Honestly, I'm still a little surprised it worked. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-108-plausible-io?lang=en

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

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