How to Build an AI Resume Builder in a Weekend
A full weekend build of an AI resume builder: the stack, the prompt that works, the three features worth adding, and the shortcuts that cost you later.
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How to Build an AI Resume Builder in a Weekend
No funding, no team, one Next.js template and an API key. Here is the full build, what breaks along the way, and what to do differently.
Why This Project Works as a Weekend Build
A resume builder is one of the few side projects where the hard part is genuinely small. The data model is a form. The output is a document. The AI does the one thing large language models are reliably good at, which is rewriting rough input into clean prose. Everything else is plumbing you already know.
That is what makes it a good first shipped product. You can have something working in a day and something people will actually use in a weekend.
Hours 0 to 8: The MVP
Tech stack:- Next.js 14 or later (App Router)
- Tailwind CSS
- An LLM API for generation
- Vercel for deployment
- Supabase for the database, so you skip Postgres setup entirely
- A single page form: name, role, experience, skills
- A generate button that calls the model with a structured prompt
- PDF export using
react-pdf - Stripe for a flat fee per resume
code
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You are an expert resume writer. Create a professional resume for:
Name: {name}
Role: {role}
Experience: {experience}
Skills: {skills}
Rules:
- Use action verbs with metrics
- One page maximum
- ATS-friendly format
- Modern but not flashy
- Include a summary tailored to the role
Output as markdown.
Hours 8 to 16: Ship It Somewhere
Post it where builders actually look: Hacker News as a Show HN, the relevant subreddit for your stack, Indie Hackers, and your own following if you have one.
Expect the traffic curve to be spiky and short. A Show HN that does moderately well sends a few thousand visitors in a day and then almost nothing. That is enough to tell you whether the idea has a pulse, which is the only thing you are trying to learn at this stage. Do not read a launch day conversion rate as a business model.
The thing worth watching is not signups. It is which feature people mention unprompted.
Hours 16 to 24: Iterate on What They Actually Asked For
Three features consistently earn their build time on a project like this.
1. Real Time Preview
People want to see the document as they type. A split screen layout with a debounced re render is enough. React state handles this fine, and reaching for a state management library here is over engineering.
2. Multiple Templates
"Modern but not flashy" means different things to different people. Three is the right number to start:
- Minimal: single column, generous white space
- Professional: two column, skills sidebar, traditional
- Creative: colour accents, modern type, aimed at design roles
Worth knowing before you build these: single column templates parse more reliably in applicant tracking systems than two column ones, because most parsers read left to right across the full page width and scramble side by side content. If you offer a two column template, say so in the interface.
3. An ATS Score
This is the feature that gets shared. After generating, score the resume against a pasted job description:
- User pastes the job description
- Extract keywords with simple TF IDF
- Compare against the resume content
- Return a score plus specific suggestions
It is not sophisticated and it does not need to be. It gives people a number they can improve, which is far more motivating than a wall of advice.
Hours 24 to 48: The Reality Check
This is where the weekend project meets the things nobody writes about.
What Holds Up
- Fast iteration. Shipping several small updates while people are still looking is worth more than one polished release later.
- Building in public. Posting the process as it happens builds an audience that is already invested by the time you have something to sell.
- Simple pricing. A flat fee per resume beats tiers. No decision fatigue, no plan comparison page to build.
- PDF export. This is the feature people came for. Other export formats get requested loudly and used rarely.
What Breaks
- API cost at scale. Generation costs are trivial at a few hundred users and become a real line item at ten thousand. Model your unit economics before you promote anything.
- No auth. Anonymous sessions feel like a shortcut for about a day. Then people lose their work and every support email is the same email.
- Mobile. More than half your traffic will be mobile, and a builder interface designed on a laptop will convert badly on a phone. This is the most expensive shortcut on the list.
- Tax collection. Stripe will happily take payments before you have configured tax. Sorting it out later is worse than sorting it out first.
What to Do Differently
- Start with auth, even basic email and password. It pays for itself in support time within a week.
- Design mobile first. You will build on a laptop and your users will not be on one.
- Use the cheaper model. For structured rewriting like this, a smaller model produces output close enough to the frontier model at a fraction of the cost. Test both on the same ten inputs before you decide.
- Add analytics in hour zero. Retrofitting them means the launch data you most wanted is already gone.
The Core Generation Logic
Stripped to its essentials:
typescript
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async function generateResume(data: ResumeData): Promise<string> {
const prompt = buildPrompt(data);
const response = await openai.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: prompt }],
temperature: 0.3,
max_tokens: 2000,
});
return response.choices[0].message.content;
}
Production code needs retries, streaming and error states around this, but that is the heart of it. Keep the temperature low. Resume writing is a task where you want consistency, not creativity.
The Honest Part
Most weekend build posts are quiet brags with the failures edited out. The useful version is the opposite.
A project like this will not replace your income. What it will do is teach you the gap between building something and getting anyone to care about it, which is the part that actually decides whether a product lives. The coding is the easy half.
If you are thinking about building something, use a weekend and a template and whatever AI tooling moves you faster. Worst case you learn where your gaps are. Best case you have a product.
Tools Used
- DevelopersMatrix AI Resume Builder A production version of this idea
- Next.js React framework
- Tailwind CSS Styling
- Vercel Hosting
- Supabase Database and auth
- An LLM API for generation
- Stripe Payments
- react-pdf PDF export
Where This Goes Next
The version running at DevelopersMatrix has moved past the weekend build. It now includes user accounts and saved documents, multiple templates, ATS scoring, job description matching, cover letter generation and LinkedIn import.
References
- OpenAI API Pricing Current per token pricing across models
- Stripe Tax documentation Setting up tax collection correctly from the start
- Next.js App Router documentation Routing, server components and data fetching
- react-pdf documentation PDF generation in React
- Lavingia, S. (2021). The Minimalist Entrepreneur. Portfolio.
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Syed Bilal Shah
Writer at DevelopersMatrix
Full-Stack Developer · Co-Founder, OviTech Global · SEO & Digital Marketing Specialist · 7+ Years Industry Experience
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