DoCV: Revenue, team and how it was built
DoCV (AI CV and cover-letter tailoring tool for one job description at a time, United Kingdom (the terms name the laws of England and Wales; the extension's developer is a trader in England)): Passed US$2.7K MRR, July 2026. Evidence grade D: reported, not verified. Team: 1 founder, who signs as Tim and writes "I launched my first SaaS"; no other person is named and no headcount is published. Launched 1 October 2025; still running.Added 27 October 2026
- Outcome
- Passed US$2.7K MRR, July 2026
- Evidence
- D reported, not verified
- Launch
- 1 October 2025
- Status
- Still running
- Team
- 1 founder, who signs as Tim and writes "I launched my first SaaS"; no other person is named and no headcount is published
- Outside funding
- None stated
- Main channel
- Reddit and communities
What is not verified
The only revenue figure, that DoCV "has passed $2.7k MRR", rests on one X post by the founder, Tim (@buildwtim), dated 26 July 2026, as quoted by Brag in Public, a site that collects founders' revenue posts from X. There is no payment-processor profile, no second dated figure and no trend. The post writes "$" without a currency, while the terms say prices are in GBP unless stated otherwise. A reader could look for a TrustMRR or Stripe-verified revenue profile, or a later dated update from the founder. The headline number is grade D: one claim or one estimate, with no second source. Aiolum shows it because the story is useful, and marks it so that it is not mistaken for a verified figure.
DoCV is a CV tailoring tool: a program that rewrites a job seeker's CV (curriculum vitae, called a resume in the United States) so that it matches one specific job advertisement. Many employers sort applications with an applicant tracking system (ATS), software that stores applications and lets recruiters search and filter them by words such as skills and job titles. DoCV compares the CV with the job description, lists the missing keywords (the exact skill and tool names that the advertisement uses) and missing evidence, and then writes a tailored CV and a cover letter with an AI model. Its pages call the score "directional" and say it "does not guarantee an ATS pass, interview, or job offer".
The founder, who signs only as Tim (@buildwtim on X), launched it on Product Hunt on 1 October 2025, where it got 3 upvotes. On 26 July 2026 the founder posted on X: "I launched my first SaaS (DoCV) exactly one year ago", and "A year later, it has passed $2.7k MRR - slow and steady". MRR means monthly recurring revenue, the subscription income that repeats every month. The same post said that not one user came from X, and that users came "through content, outreach and countless 1:1 conversations and now all from my own subreddit". Brag in Public, a site that collects founders' revenue posts from X, quotes the post.
That single post is the only source for the revenue figure, so this page grades it D: reported, not verified. The founder's "one year" also does not match the dates in public records, which start on 1 October 2025, about ten months before the post. The page also shows earlier job-search companies that failed.
How much revenue does DoCV make?
Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Monthly recurring revenue, 26 July 2026 | more than US$2,700 | D | The founder's X post, quoted on Brag in Public: "A year later, it has passed $2.7k MRR - slow and steady". The page shows the date "Jul 26"; the post's X status number decodes to 26 July 2026, 22:27 UTC. The post writes "$" without a currency name. No payment-processor data and no second dated figure. | [1] |
| Run rate from the July 2026 figure | about US$32,400 a year | calc | Calculated: 2,700 times 12. This is the outcome amount stored for this page; the founder gave a monthly figure, not a yearly one. | [1] |
| Product Hunt launch | 1 October 2025: 3 upvotes, 2 comments, place 134 of the day, not featured | C | Hunted.space, which shows Product Hunt data: "DoCV was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #134 on the daily leaderboard". The founder's post also says "just 3 votes". | [6, 1] |
| First archived copy of docv.io | 1 October 2025 | C | The Wayback Machine's capture list for docv.io starts at 08:28 UTC on 1 October 2025, the day of the Product Hunt launch. | [7] |
| Time from launch to the revenue figure | about 10 months | calc | Calculated: 1 October 2025 to 26 July 2026 is 298 days, 9.8 months. The founder's post says "exactly one year ago"; no source found shows the product before 1 October 2025. | [1, 6, 7] |
| Where users came from | content, outreach, one-to-one conversations, and later the founder's own subreddit; none from X | C | Founder's post: "Not a single user came from X. I didn't even start using X until six months after launching." and "Every user came through content, outreach and countless 1:1 conversations and now all from my own subreddit." | [1] |
| Search pages on the site | 87 addresses in the sitemap | C | Counted in the sitemap read on 27 October 2026: pages per job title ("resume-for-data-analyst" and others), CV templates, use cases and comparisons with Teal, Rezi, Resume.io, Zety and Kickresume. | [9] |
| Chrome extension | 35 users, 4.3 out of 5 from 6 ratings, version 1.1.2 of 27 June 2026 | C | Chrome Web Store listing, read 27 October 2026. It extracts a job description from a page and saves the job to an application tracker; its listed features do not include sending applications. | [8] |
| Plans | Free, Standard and Premium, billed weekly or monthly | C | Terms of service, last updated 24 June 2026, section 4.1. Prices not read (see the pricing table). | [4, 5] |
| What the AI may and may not do | tailor from the user's real experience; no false information | C | The acceptable-use section bans uploading "false, misleading, or fraudulent information in your CVs". The How It Works page: "Export only what is true". The terms say content is generated by "third-party AI providers". | [3, 4] |
| Team | 1 founder by the founder's own account | C | Brag in Public: "Built by Tim"; Product Hunt: "Hunted by Tim". The post speaks of one person ("I had no audience, no community, no beta users and no waitlist"). No headcount is published. | [1, 6] |
| Outside funding | none stated | C | No source names an investor. | [1] |
How to read this table: a grade D value rests on one founder post on one date, quoted by a third-party site. A grade C value is the company's own pages, its store listing or launch data. An "X" value was computed on this page. No value is grade A or B.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 0 | "Limited AI generations with basic features"; initial free analysis |
| Standard | not read | "Enhanced AI features and increased usage limits"; billed weekly or monthly | |
| Premium | not read | "Advanced features and unlimited usage"; billed weekly or monthly |
The pricing page says "Use the live pricing cards on this page as the source of truth", and those cards are filled by a script after the page loads; the prices could not be read. The page's script says "Pay weekly or monthly. No hidden fees.", and the checkout screen in the same script promises a "14-day money-back guarantee", although the terms say refunds "are generally not provided for unused portions of subscription periods". The terms of service of 24 June 2026 say "All prices are in GBP unless otherwise stated", while the analytics code of the checkout labels plan amounts as USD. Every visitor gets an initial free analysis of one CV against one job.
When did DoCV launch, and how did it grow?
From a Product Hunt launch with 3 votes to a founder-reported US$2,700 a month, in about ten months. Each entry carries its grade.
- 1 October 2025CDoCV launches on Product Hunt with the line "Land more interviews with AI-powered CVs" and gets 3 upvotes and 2 comments. The Wayback Machine makes its first copy of docv.io the same day. [6, 7]
- Early 2026CThe founder starts posting on X, "six months after launching" in the founder's words; no user comes from it. [1]
- 24 June 2026CLast update of the terms of service: Free, Standard and Premium plans, prices in GBP unless stated otherwise, the laws of England and Wales. [4]
- 27 June 2026CVersion 1.1.2 of the Chrome extension, which copies job descriptions into DoCV and tracks applications. [8]
- 26 July 2026DThe founder posts that DoCV "has passed $2.7k MRR - slow and steady", with users "now all from my own subreddit". [1]
- 27 October 2026CThe site has 87 pages in its sitemap, a free first analysis, and comparison pages against larger resume builders. [2, 9]
Why did DoCV work?
Four causes, in the order they mattered. Each one is a reusable lesson.
Persistence
The founder had "no audience, no community, no beta users and no waitlist", and the launch got 3 votes. The founder kept the product alive and found users one at a time, through content, outreach and personal conversations, until a subreddit run by the founder became the main source of users.
One CV against one job
The product does a narrow task that job seekers repeat for every application: compare the CV with this advertisement, show what is missing, write the tailored version and a cover letter. Each new application is a new reason to come back while the search lasts.
Short billing periods for a short need
A job search lasts weeks or months, not years. The site's code offers weekly or monthly payment and a 14-day money-back guarantee at checkout, and a free first analysis shows the result before any payment.
Pages for each job title
The sitemap lists pages for many job titles, CV templates and comparisons with larger competitors. These pages can be found through search by people who look for a CV for one kind of job, which is the "content" that the founder names as one source of users.
How it was built
These details come from the company's terms, its Chrome Web Store listing and the source code of its public pages, read on 27 October 2026. They are grade C, except what the page source itself shows. [2, 4, 5, 8]
- A single-page web app written with React, with MobX for state; the pages load Google's gtag.js measurement script.
- A separate application server at api.docv.io stores CVs, runs the analysis and serves the plans.
- The terms say content is generated by "third-party AI providers". The page source has an administrator setting for the AI provider and model, with "openai" as its default value.
- Stripe takes the payments: "Stripe handles your payment with industry-standard encryption."
- Sign-in with email and password or with Google, Microsoft or Apple accounts.
- A Chrome extension, published by the website's owner, extracts job descriptions and saves jobs to a tracker.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before DoCV, and why did they fail?
Four companies in the Loot Drop database tried to help job seekers, or employers reading CVs, and failed. The values below are from that database and are not independently verified.
Jobspice
The promiseProfessional-looking resumes made quickly by people who cannot design.
Why it diedIt sold one narrow thing, a resume, while LinkedIn and free tools did the same job for nothing.
Jobr
The promiseA mobile app where job seekers swiped through jobs as in a dating app.
Why it diedLinkedIn and Indeed offered more and reached more people, and swiping did not become a way to make money.
Ansaro
The promiseAI for employers that would read resumes, schedule interviews and remove bias from hiring.
Why it diedRecruiters saw it as nice to have and kept trusting human judgment over an algorithm.
Monster Worldwide
The promiseThe first large online job board, with a database of resumes for employers.
Why it diedIt treated job search as a database of listings, and LinkedIn's network and Indeed's search traffic took its users.
The failed startups come from Loot Drop, a free database of dead startups, retold here in our own words. Loot Drop describes its entries as AI-assisted summaries of public sources, so these cards carry no evidence grade.
What changed
Jobspice made good-looking resumes and lost because a resume template is easy to copy and free ones spread. Jobr and Monster Worldwide built places to find jobs and lost to LinkedIn and Indeed. Ansaro sold AI to the employer side and found that recruiters did not want it. DoCV faces the first risk directly: its own comparison pages list larger tools, such as Teal, Rezi and Kickresume, that do the same tailoring.
What differs is the cost. A language model now writes the tailored CV and the cover letter, so one person can sell the rewriting work that once needed a human CV writer, and the cost of each analysis is a model call. DoCV also does not try to be the job board: it works on whatever advertisement the user brings, from any site. That kept the business small enough that, according to the founder, slow growth through personal conversations and one subreddit was enough to pass US$2,700 a month.
Can one person copy DoCV now?
Yes, and it is a crowded field.
Nothing here needs money or a large audience: a narrow AI task that job seekers repeat for every application, short billing periods, and users found by hand. The hard part is that many funded and free tools already tailor CVs, so the founder's way of finding users matters more than the product.
Where it is still open: Other repeated, document-shaped tasks in a job search or a career: application forms, interview preparation for one company, or CVs for one country's conventions.
- 1Pick a task that people repeat many times in a short period, and charge by the week or the month.
- 2Show the result free once, before any payment.
- 3Find the first users where they already talk, through answers, outreach and one-to-one conversations, before you build an audience elsewhere.
- 4Write the limits of the AI on every page, so that users keep their claims true.
What could go wrong for DoCV?
The risks are the mirror image of the causes above.
What is not verified
The only revenue figure, that DoCV "has passed $2.7k MRR", rests on one X post by the founder, Tim (@buildwtim), dated 26 July 2026, as quoted by Brag in Public, a site that collects founders' revenue posts from X. There is no payment-processor profile, no second dated figure and no trend. The post writes "$" without a currency, while the terms say prices are in GBP unless stated otherwise. A reader could look for a TrustMRR or Stripe-verified revenue profile, or a later dated update from the founder.
"Exactly one year" does not match the public dates
The founder wrote on 26 July 2026 that DoCV launched "exactly one year ago". The Product Hunt launch and the first archived copy of docv.io are both dated 1 October 2025, about ten months earlier. This page uses 1 October 2025; an earlier start under another name or address was not found.
The founder is known by a first name only
Brag in Public and Product Hunt show only "Tim". The Chrome Web Store names an individual trader in England as the developer of the extension and says the publisher owns docv.io; the sources do not say whether that person is the founder.
The founder's own marketing
The founder says users came "through content, outreach and countless 1:1 conversations and now all from my own subreddit". The sources do not show what the outreach was or how the subreddit presents DoCV. This describes the founder's tactics, not a feature of the product.
AI-written CVs and honesty
The site tells users to keep "the final wording truthful", and the terms ban "false, misleading, or fraudulent information". No feature for inventing experience or for passing AI detectors was found on the pages read. The job-import screen says it "May not work with: LinkedIn, Indeed, Glassdoor due to anti-bot protection", so it reads job pages from other sites, which those sites may restrict.
Prices not read
The prices load by script and could not be read, so this page cannot say what a customer pays or how many paying customers US$2,700 a month would mean.
Sources
The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.
- D Brag in Public: DoCV product page, with the founder's X post of 26 July 2026Read in full, from a copy downloaded on 27 October 2026. Quotes the founder's post (https://x.com/buildwtim/status/2081506760154894355), which was not opened because x.com needs a login. Source for the US$2,700 MRR, the launch account and the users' origin.
- C DoCV home page, read 27 October 2026Read in full. Source for the product description and the statement that it does not guarantee an ATS pass.
- C DoCV About and How It Works pages, read 27 October 2026Read both in full (the About page is at https://docv.io/about). Source for the workflow and "Export only what is true".
- C DoCV Terms of Service, last updated 24 June 2026, read 27 October 2026The page shows a short summary; the full terms were read from the text in the page's script. Source for the plans, the GBP prices, the AI providers, the acceptable use and the governing law.
- C DoCV pricing page, read 27 October 2026Read in full. The price cards load by script and could not be read; the billing text, refund promise and payment provider were read from the page's script.
- C Hunted.space: DoCV, Product Hunt launch overviewRead in full. A third-party view of Product Hunt data. Source for the launch date, the 3 upvotes and the daily place.
- C Wayback Machine capture list for docv.ioRead in full. Source for the first archived copy, 1 October 2025 (https://web.archive.org/web/20251001082831/https://docv.io/).
- C Chrome Web Store: AI Resume Builder - Free ATS-Optimized CV Creator | docv.ioRead the listing in full on 27 October 2026. Source for the extension's features, users, ratings, version date and publisher type.
- C DoCV sitemap, read 27 October 2026Read in full and counted. Source for the 87 page addresses.
- C Loot Drop database export, 1,749 failed startupsLocal export. AI-written summaries, not independently verified. Source for the failed predecessors.