REPLICATION GUIDE · AI Businesses

IP geolocation data API

IPinfo is an operating IP-intelligence SaaS for developers and business teams that need network context without maintaining IP feeds.

● Already earning  $80K/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$80K/mo
Copy budget$500K
Growth channelsSEO, Inbound
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
Replicate IPinfo’s paid IP-data/API model for small SaaS security teams reviewing suspicious logins. Interview 20 teams through relevant developer communities and founder outreach; show sample lookups, recruit five design partners, then sell three scoped pilots at USD 500 each. 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.

Sign in to unlock free Create free account Members unlock 3 projects per day, free

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.

Sign in and share your own link — every 10 clicks give you 1 extra free unlock today.

Sign in to unlock free
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

IPinfo is an operating IP-intelligence SaaS for developers and business teams that need network context without maintaining IP feeds. APIs, SDKs and downloadable data deliver location, ASN/network, privacy, carrier and company signals; these do not identify a person’s exact address. IPinfo says it began in 2013; founder Ben Dowling’s interview dates his side-project API to 2014. He previously worked at Facebook and was Calm’s CTO. Its October 2026 About page claims over 500,000 users. Starter Story’s AI profile estimates about $85K/month for 2021, unaudited and with unspecified currency; current revenue is unknown. Live Lite-to-Enterprise offers indicate continued operations.

Replication breakdown

01

Why it works — and where your opening is

Security, commerce and analytics teams need an IP’s location, network owner or privacy-service context, but assembling files and refreshing them creates repeated setup and data-quality work. Dowling’s account of downloading and configuring IP files for several side projects supports the workflow problem; it does not prove every buyer shares it. A maintained API and versioned datasets can replace repeat integration and combine signals for faster review, but location and VPN labels remain probabilistic. This may save engineering and investigation time if accuracy fits a buyer’s task. Recurring login or traffic analysis can support renewal. The potential moat is accumulated measurement coverage and data-quality operations, which the company describes through ProbeNet; defensibility and customer switching costs are not independently established.
02

The money: revenue, cost, and margin

Monthly revenue$80K/mo

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

SaaS Club’s 2021 interview materials report over $100K/year two years after launch; Dowling later described multi-million annual revenue and 50% prior-year growth. These are historical, unaudited, not current; the dollar unit has no ISO code. Starter Story’s AI profile separately estimates ~$85K/month as of 2021 from two public sources; it is secondary, different-basis, with unspecified currency. Current revenue, expense amounts and margins are unknown. Our USD $500K replica startup budget ×2 = USD $1M/month is a planning placeholder, not IPinfo spending, actual revenue, profit, forecast or ROI. Ongoing drivers include licensed data, paid engineering/maintenance, probe/accuracy QA, cloud/API/storage, support, payment processing and acquisition. No AI/GPU inference is needed for this rules-based MVP.
03

Where the revenue comes from

Free country-level Lite is an entry funnel, not revenue. IPinfo monetizes paid API subscriptions with request quotas and optional metered overages, custom Enterprise contracts, and commercial database downloads sold separately from self-serve API plans. Developers and organizations upgrade for richer geolocation, ASN/network and privacy data, capacity or support. Database scope and licensing require checking the chosen offering; Lite also advertises free downloads. Current pricing displays a dollar sign without an ISO currency code, so exact prices are omitted. Without enabled metered billing, quota limits apply. Revenue mix and conversion are unknown. Dowling’s historical interview names Stack Overflow and SEO as early acquisition channels, not a verified current mix.
04

Tools you need to replicate it

IPinfo documents REST APIs, token-based access, client libraries, CLI and MCP tools, plus CSV, MMDB, JSON and Parquet downloads. Its integrations include Snowflake, Google Cloud and Splunk. ProbeNet is the company’s proprietary measurement capability. A historical official Code Story recap reports moving from AWS to Google Cloud and from App Engine to Google Kubernetes Engine; this does not establish today’s deployment. The current complete language, database and AI stack remains undisclosed in the reviewed sources. Customer integrations do not prove internal use. Managed authentication, checkout, storage and queues in the replication plan below are recommendations, not verified IPinfo suppliers.

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 · Daniel Silva

Daniel Silva — from call-center agent to copying a $80K/mo business: IP geolocation data API

I did this for my daughter. I was tired of choosing between rent and her school fees. I read scripts to angry customers for 15 years, monitored every second, burned out at twenty-eight. 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 IP geolocation data API, 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 $500K), what to build it on (off-the-shelf tools), and where the customers come from (SEO, Inbound). 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 SEO, Inbound, 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. 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 $80K/mo — I am not at that scale, and I don't need to be: I was earning around $1,500 a month as a call-center agent in Lima, 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. The first month I paid both without panic, I cried. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-321-ipinfo-io?lang=en
Story by · Aisha Wagner

Aisha Wagner — from line cook to copying a $80K/mo business: IP geolocation data API

There is a version of this story where I never clicked the link. I clicked it out of boredom at one in the morning. I worked the line in a restaurant kitchen for 3 years — split shifts, burns, tips split three ways. 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 IP geolocation data API written for someone with no budget and no team. 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 (SEO, Inbound), 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, SEO, Inbound 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. 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 $80K/mo the original does — but more than the $1,800 a month I made as a line cook in Guadalajara, 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. 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-321-ipinfo-io?lang=en
Story by · Tomás Bello

Tomás Bello — from administrative assistant to copying a $80K/mo business: IP geolocation data API

Two things were true at once: I was exhausted, and I was comfortable. Comfort was the problem. For 6 years I was an administrative assistant — booking rooms, filing invoices, and a salary that never moved. 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: IP geolocation data API, 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 $500K), the stack (off-the-shelf tools), the channels that actually convert (SEO, Inbound), 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 SEO, Inbound 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. 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 administrative assistant in Cebu on about $2,000 a month. Today this copy pays me more than that, and the business I copied is doing $80K/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. 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-321-ipinfo-io?lang=en

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

Copy it — or copy something bigger.

Everything above is the playbook: budget, tools, channels, and the first customer. If these numbers do not fit your budget, pick another proven business below.

Browse proven businesses →