CASE STUDY
Transforming resume creation from a tedious task into a 2-minute workflow.
Applying to jobs has become a numbers game. Job seekers send out 50–200 applications, yet hear back from only a few. One major hidden blocker? Applicant Tracking Systems (ATS) — automated resume screeners that reject applications not tailored to job descriptions.
Despite access to tools like ChatGPT, candidates still spend 20–30 minutes per application: copying job descriptions → generating responses → editing in Word → formatting → exporting PDF → uploading.
The tailoring process becomes a bottleneck — not a differentiator.
The problem isn't generating content. The problem is everything around it.
| Tool | Pros | Cons | Notes |
|---|---|---|---|
| ChatGPT | Flexible rewriting | No formatting or PDF output | Requires manual formatting |
| Jobscan | JD vs Resume keyword scoring | No smart rewriting or content generation | Limited to analysis only |
| Rezi.ai | ATS formatting, design options | Locked behind paywalls, overcomplicated UI | Premium features restricted |
| ResAI.tech | Fast, smart, exportable output | MVP-stage, limited styles | Early in feedback loop |
Create a tool that goes beyond generation. The real value lies in reducing friction from:
Enter JD + Resume → AI Optimized Resume → Download PDF
One seamless flow, zero friction
If we build a fast, no-login resume tailoring tool that takes a job description and resume and outputs a clean, ATS-optimized PDF in under 2 minutes, then:
More job seekers will tailor their resumes per role
Time-to-apply will drop significantly
Confidence in each application will increase
Resume quality (ATS match rate) will improve
A lightweight, fast, browser-based tool that lets users:
No sign-up required. No credit card required. Easy to use.
Paste your JD on the left. Paste your resume on the right.
GPT smartly rewrites and reorders bullet points using JD context.
Inline editor lets users tweak or replace content.
One-click download of an ATS-optimized PDF.
Job description and resume input panels for clear intent
Smart rewriting and reordering of bullet points
Real-time content modification capabilities
One-click download of ATS-optimized resumes
Classic, modern, and clean template variations
Fair usage policies and user management
JD-to-resume match percentage analysis
User history and application tracking
Challenge: GPT output can break structure or spacing
Mitigation: Manual tuning, CSS structure hardening
Challenge: People perceive LLMs as DIY tools
Mitigation: Focus positioning on "speed + polish"
Challenge: Early feature creep
Mitigation: Strict scope for MVP, public roadmap
ResAI.tech transforms resume tailoring from a tedious task into a 2-minute workflow. It doesn't just "use AI" — it uses AI to remove friction.
Built solo. Launched fast. Shaped by real pain. The kind of MVP I'd build again at your company — with users at the center, outcomes over outputs, and zero wasted steps.
I welcome the opportunity to discuss this project further and explore potential collaborations.
📧 Email: saisurajmvv@gmail.com
🔗 LinkedIn: linkedin.com/in/saisurajmatta