All Startup Ideas

AI Resume Tailorer

Build an AI tool that customizes resumes for specific job descriptions, optimizing for ATS systems and keywords. Full build guide included.

Job seekers know they should tailor their resume for each application, but it's tedious work. Most just send the same generic resume everywhere and wonder why they never hear back. Meanwhile, 75% of resumes are rejected by ATS systems before a human ever sees them—often because they're missing the right keywords.

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Jobscan estimates 75%+ of resumes are filtered by ATS before human review; keyword match to the job description is table-stakes for modern applications.

Teal raised $5M+ (2022) and Rezi has crossed 1M+ users—category is validated; pricing has settled at $29/mo for most AI-native tools, leaving room for a sub-$20 entrant.

Upload your resume once, paste any job description, and get a tailored version optimized for that specific role. AI rewrites bullet points to match keywords, reorders sections for relevance, and provides an ATS compatibility score with improvement suggestions.

Suggested stack: Next.js 14 + TypeScript, Supabase, Unstructured / LlamaParse, Claude + prompt caching, React-PDF, Stripe + Resend. Weekend scope: about 8 hours.

The Problem

Job seekers know they should tailor their resume for each application, but it's tedious work. Most just send the same generic resume everywhere and wonder why they never hear…

The Solution

Upload your resume once, paste any job description, and get a tailored version optimized for that specific role. AI rewrites bullet points to match keywords, reorders sections for…

Market Research

Glassdoor research: an average corporate job receives 250 resumes; only 4–6 candidates reach interview—tailoring per role is the competitive edge.

Competitive Landscape

Teal — Full career hub with job tracker, resume builder, and AI tailoring. Strong all-in-one but feels heavy when a user just wants one tailored resume for one role today. Free…

Business Model

Free ($0) — 3 tailorings/mo, basic template, watermarked PDF

Recommended Tech Stack

Next.js 14 + TypeScript — Marketing, app, API. Server Actions for upload + tailor flow; streaming UI for the tailoring progress so 15–30 s feels instant.

AI Prompts to Build This

Copy these build prompts into Claude, Cursor, or your AI coding tool. Create a free account to unlock the full research behind them.

  1. 1. Project Setup

    Create a Next.js app for an AI Resume Tailorer.

The app needs:
- Upload page: drag-drop for PDF resume OR paste text
- Job input page: large textarea for job description
- Results page: side-by-side original vs tailored resume, ATS score, download button
- Use PDF.js to parse uploaded PDFs
- Store user's base resume in localStorage for quick repeat use

Modern, minimal styling with Tailwind CSS.

  2. 2. Core Feature

    Create an API route that takes resume text and job description, then uses Claude/GPT to:

1. Extract key requirements and skills from job description
2. Identify matching skills/experience in resume
3. Rewrite bullet points to incorporate relevant keywords naturally
4. Reorder sections to put most relevant experience first
5. Calculate ATS compatibility score (0-100) based on keyword match percentage
6. Return JSON with: tailored_resume, ats_score, suggestions, matched_keywords, missing_keywords

Be careful not to fabricate experience—only rephrase existing content.

  3. 3. PDF Export

    Add PDF generation for the tailored resume:

- Use @react-pdf/renderer to create clean, ATS-friendly PDF
- Simple formatting: clear sections, standard fonts, no columns or graphics
- Include: name/contact, summary, experience, education, skills
- Allow downloading as both PDF and plain text (for copy-paste)
- Add option to highlight changes made from original