REPLICATION GUIDE · AI Businesses

eBPF-based cloud observability

Groundcover operates a cloud observability platform for engineering, SRE and platform teams investigating production problems.

● Already earning  $400K/mo  ·  Copy it for about $180K

Replication snapshot

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

Monthly revenue$400K/mo
Copy budget$180K
Growth channelsSEO, Community forum
Tools to copyKubernetes, Slack
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
Defer AI agents, automatic remediation and broad operating-system support. Total copy budget: $180K.

Want to see how that $180K splits line by line, what each line buys, and when to stop? The full breakdown is below.

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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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  • 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

Groundcover operates a cloud observability platform for engineering, SRE and platform teams investigating production problems. Its eBPF sensor and OpenTelemetry support bring logs, metrics, traces and events into a shared investigation workflow. BYOC places the backend in the customer's cloud, while Groundcover hosts the interface; this does not mean zero outbound traffic. The official About page names cofounders Shahar Azulay and Yechezkel Rabinovich. Starter Story's accessible Groundcover revenue subpage matches the business; its overview returned a cache error. Checked October 19, 2026, the official product remains active. Current customer counts and actual revenue are not established here.

Replication breakdown

01

Why it works — and where your opening is

Engineering buyers need to connect an incident's symptoms across services without repeatedly instrumenting applications or reconciling separate dashboards. Groundcover's eBPF collection and correlated telemetry can reduce that investigation friction. Host-based software billing may also help budgeting, but customer infrastructure still costs money and actual savings depend on workload. Daily incident response, deployment checks and capacity planning create recurring use. Sensor expertise, integrations and embedded operational workflows could raise switching costs; these are analytical advantages, not proof of an exclusive moat. Compatibility gaps, privileged access, resource overhead and noisy telemetry must be tested rather than hidden behind universal-coverage claims.
02

The money: revenue, cost, and margin

Monthly revenue$400K/mo
Revenue per employee$83.3K /yr

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

Starter Story quotes historical LinkedIn material describing over USD 5 million ARR in May 2025; its approximately USD 417,000 monthly display is annualized recurring revenue divided by twelve, not verified receipts. The original post was not independently authenticated here. Current revenue, profit and telephone verification remain unknown. Independent launch funding is estimated at USD 180,000; USD 360,000 is only the startup-times-two monthly display model. A proposed USD 1,500 monthly pilot faces USD 700 support labor and USD 200 provider infrastructure/payment allowance, leaving USD 600 before development, acquisition, overhead and taxes. Customer cloud costs are additional; AI is excluded from this pilot.
03

Where the revenue comes from

Groundcover sells host-based subscriptions after trial or sales-led evaluation. October 19, 2026 pricing displays USD 30 Pro, USD 35 Enterprise and USD 50 On-Prem per host/month; billing averages monitored hosts. Free BYOC retains data for twelve hours; cloud costs remain the customer's. Verify billing-cycle selections and order terms before purchase. Terms specify automatic renewal, generally nonrefundable fees and cancellation notice at least thirty days before cycle end. The January 2026 SLA qualifies this: commercially reasonable efforts target 99.8% monthly availability; two consecutive failures permit written termination the following month and prorated unused-prepayment refunds, subject to exclusions. Revenue is subscription fees, not customer cloud spending.
04

Tools you need to replicate it

Official documentation establishes an eBPF sensor, OpenTelemetry support, Kubernetes resources and OIDC/SAML authentication capabilities. Kubernetes deployment requires permission for privileged DaemonSets and other workload, configuration, secret and storage objects. The portal makes outbound HTTPS connections; an encrypted tunnel supplies the hosted UI without persisting fetched telemetry on Groundcover's side, according to its documentation. Supported distributions and kernel requirements must be checked; universal compatibility is not established. These disclosed components do not reveal the full private implementation. The independent proposal below recommends licensed OpenTelemetry collectors, ClickHouse and PostgreSQL, not an asserted Groundcover stack or authorization to install anything.

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 · Dalia Jansen

Dalia Jansen — from line cook to copying a $400K/mo business: eBPF-based cloud

Two things were true at once: I was exhausted, and I was comfortable. Comfort was the problem. I worked the line in a restaurant kitchen for 9 years — split shifts, burns, tips split three ways. 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 eBPF-based cloud, 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. 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 $180K), what to build it on (Kubernetes, Slack), and where the customers come from (SEO, Community forum). 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. Kubernetes, Slack first, then SEO, Community forum, then the outreach script — and two paying clients inside a month. The headline budget of about $180K is not a day-one number; I spent the minimum that could produce one customer and let the rest come out of earnings. 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. 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. 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. 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. Today my copy of it pays me every month. The business I copied runs about $400K/mo — I am not at that scale, and I don't need to be: I was earning around $1,500 a month as a line cook in Cebu, 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-255-groundcover-com?lang=en
Story by · Emeka Saleh

Emeka Saleh — from administrative assistant to copying a $400K/mo business: eBPF-based cloud

I almost didn't believe it. I had been burned by "easy money" promises before. For 12 years I was an administrative assistant — booking rooms, filing invoices, and a salary that never moved. 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 eBPF-based cloud written for someone with no budget and no team. The plan was brutally specific: a launch budget of about $180K, the exact tools it runs on (Kubernetes, Slack), the revenue channels that actually convert (SEO, Community forum), 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: Kubernetes, Slack set up, SEO, Community forum opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $180K 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. 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. 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. 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. My version is small and it is mine. It earns less than the $400K/mo the original does — but more than the $1,800 a month I made as a administrative assistant in Kraków, 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-255-groundcover-com?lang=en
Story by · Vera Haddad

Vera Haddad — from retail salesperson to copying a $400K/mo business: eBPF-based cloud

I did this for my daughter. I was tired of choosing between rent and her school fees. For 15 years I sold phones in a mall kiosk — twelve-hour shifts, commission barely covering rent. 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: eBPF-based cloud, 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 $180K), the stack (Kubernetes, Slack), the channels that actually convert (SEO, Community forum), 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 Kubernetes, Slack, opened SEO, Community forum 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 $180K, 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. 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. 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. 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. 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 retail salesperson in Belfast on about $2,000 a month. Today this copy pays me more than that, and the business I copied is doing $400K/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-255-groundcover-com?lang=en

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