Skip to content
Let’s talk

Case study · Job search and AI CVs · USA and worldwide

CV RocketOne engineer and a fractional CTO took CV Rocket from zero to sales in five weeks and to 1,000+ customers

CV Rocket writes a CV for one job posting in 15 to 50 minutes and brings the US and world job market into one place: more than 1.5 million postings from 89,000+ job sites. I designed the architecture, the cloud services and the payment integration, and one engineer and I built the product in four weeks, a launch that usually takes a full team several quarters. It sold from week five and now has more than 1,000 customers.

Get the full case as a PDFAll case studies
Client
CV Rocket
Product
AI CVs and job search
Main market
USA, plus the rest of the world
Customers
1,000+
My role
Fractional CTO
Team
1 engineer and me
CV Rocket: the product

In numbers

from zero to a working product, where quarters are the norm
4 weeks
customers since the first sale in week 5
1,000+
job sites the scanner reads, with no data team behind it
89,000+
for a CV written for one posting, work a CV writer does by hand
15–50 min
job postings, kept current almost in real time
1.5M+
CVs generated for customers, each written for one posting
10,000+

The product

The public site, job search across the market, a CV written for a posting with the application sent with it, and employers' replies in one inbox. The product screens use sample data.

cvrocket.ai
  • Job search results with pay and a Get CV button on each posting
  • A finished CV with its PDF and the application sent with it
  • The inbox with employers' replies sorted by application
01

The starting point

Job seekers send the same CV everywhere, while the jobs worth applying to are spread across a huge market. CV Rocket writes a CV for each posting automatically and collects the whole US and world job market in one place, so people find work faster and can compete for it.

It had to be built from zero, by one engineer and me, with no product team, no QA department and no ops staff behind us.

02

What we did

  1. The architecture, from zero, built for a team of two

    I designed the architecture of the whole product: the scanner that collects the market, the CV generation and the customer app. I kept it lean enough for two people to build and run.

  2. 89,000+ job sites, the whole US and world market in one place

    The scanner reads more than 89,000 job sites across the US and the world and keeps more than 1.5 million postings current almost in real time. Job sites usually keep a data team busy with this, and here it runs by itself.

  3. A CV written for each posting in 15 to 50 minutes, at any volume

    Customers get a CV written automatically for the specific job they apply to, ready in 15 to 50 minutes. A professional CV writer does this work by hand, one CV at a time. More than 10,000 have been generated for customers so far.

  4. Cloud services that need no ops team

    I designed the cloud services the product runs on, so the market scan and the CV generation run without an ops team.

  5. Payments inside the app from the first sale

    I integrated the payment services, so customers buy a CV right in the app and the product earned money as soon as it went on sale.

  6. Four weeks to launch, sales in the fifth, 1,000+ customers since

    One engineer and I built the application in four weeks, and the first sales came in the fifth. Most startups spend longer than that just planning their first version. CV Rocket now has more than 1,000 customers.

03

The result

Two people took CV Rocket from zero to paying customers in five weeks, and it now has more than 1,000 customers. It reads 89,000+ job sites and writes a CV for a posting in 15 to 50 minutes, helping people, mainly in the US, find work faster and compete on the job market.

oleg.isSent on request

Full case · PDF

CV Rocket

One engineer and a fractional CTO took CV Rocket from zero to sales in five weeks and to 1,000+ customers

  1. 01The architecture two people built in four weeks
  2. 02How the market is collected and kept up to date
  3. 03The CV generation pipeline
  4. 04Cloud services and payments
  5. 05The four-week plan, week by week
  6. 06What we would do the same way again
Prepared by Oleg SotnikovPDF

The full CV Rocket case

The public story stops here. The PDF has the rest: the architecture before and after, the migration plan, how the team works with AI agents, what it all costs to run and where the savings came from.

I send every case myself and use your email for nothing else.

More case studies

All case studies
01AulaHousing and utilities · KazakhstanFractional CTOThree releases a day instead of one in four months, 3 people doing the work of 16, and a cloud bill down 70%Aula is one app for apartment residents and the 109 companies that manage their buildings, with 247,000 accounts. As fractional CTO I rebuilt how the product is made and run: development and testing went from 16 people to 3, the servers from 18 to 3, the cloud bill fell by 70% and errors in the mobile app by 97%. A task now reaches production in a day instead of 2 to 3 weeks, and the product ships three times a day at 99.99% uptime, a pace most in-house teams never reach.Read the case study02detachboxCloud machines for AI coding agents · USA and worldwideFractional CTO and startup advisorA founder, a fractional CTO and one engineer took detachbox from an idea to a commercial product in three weeksdetachbox gives Claude Code, Codex and other CLI agents an always-on Linux box: the developer closes the laptop and the agent keeps working, on the Claude or Codex subscription the developer already pays for. We built it as founder → fractional CTO → engineer, with no team in between, and it went from the founder's idea to paid plans in three weeks. I own the architecture, the infrastructure, the code review and the technical direction, and we keep developing it. No subscription token or API key ever lands in a box, which makes detachbox one of the safest ways to run remote agents on your own subscription.Read the case study03LeadTrainCold email and outbound salesFractional CTO and startup advisorA team of three built LeadTrain, a cold email platform that now sends more than 20 million emails a monthLeadTrain runs cold outbound end to end: it finds the buyers, buys and configures the sending domains, creates and warms the mailboxes, gives every sender a profile and a site, sends multi-step campaigns and sorts every reply. As fractional CTO and startup advisor, I designed the whole architecture and built the product with two more people. It now sends more than 20 million emails a month and is built to keep deliverability above 60%.Read the case study

Want the next case study to be about your company?

In a 30-minute call we pick the first task to hand to AI and estimate what it will save you.

Book a callThe call is free, and you talk to me directly.