CandidateX

CandidateX

SaaS

Design engineering

Focused on UX/AI

Vibe coded

Project overview

CandidateX streamlines hiring by analyzing resumes and candidate's background against job descriptions using AI. It evaluates candidate qualifications beyond keywords, considering experience, skills, education, and fit. When submitted, the system examines resumes against requirements and delivers immediate approved or declined decisions with reasoning. The app integrates with RecruitCRM, automatically updating candidate hiring stages. Approved candidates move to recommended, while declined candidates are marked rejected without manual work.

Domain

HR tech

My role

Design engineer

Team

Org founder & me

Timeline

10 days

Business Impacts

View on Product hunt

80%

Reduced screen time

CandidateX's core functionality is to automate the resume screening and updates the recruitcrm.

60%

Reduced overall cost

The HR department can run the automation and the team can focus on other tasks over resume screening.

Problems

Manual & Repetitive Screening

Recruiters spend hours reviewing resumes one by one, leading to inefficiency and fatigue in early-stage hiring.

Lack of Intelligent Automation

Traditional tools rely on keyword matching, failing to understand candidate context, experience, or fit.

Slow Hiring Decisions

Delayed shortlisting and backlogs slow down the hiring cycle, causing lost opportunities and candidate drop-offs.

High Time & Cost Overhead

Manual processes increase recruiter workload and hiring costs, making scaling difficult for fast-growing teams.

Problem statement

How might we reduce screening time and improve
decision-making by using AI?

Public feedback after launch

After launching CandidateX on Product Hunt and LinkedIn, the response was super positive. People loved that it goes beyond keyword matching and actually understands resumes. They also appreciated how it saves time, makes hiring easier, and gives clear reasons for every decision.

View on Product hunt

How did I approach & package from idea to final in no time

Empathy-Driven Design

Started by deeply understanding recruiters' pain, how manual screening drains time, energy, and focus. This emotional insight shaped every decision, ensuring the solution truly served their day-to-day needs.

Contextual Intelligence

Used the ChatGPT API and custom tuning to assess resumes like a human, focusing on experience, skills, and role fit, not just keywords.

AI-Powered Development

Used AI coding tools like Cursor and Windsurff alongside my own development skills to rapidly prototype, iterate, and ship, without compromising on quality.

Integrated a Third party

Used RecruitCRM’s API to sync candidate data and automate status updates, reducing manual work and keeping the hiring flow smooth.

Product breakdown

#1 Sidebar as a playground

Used sidebar to handle the forms and a dynamic one liner summary for the actions made by the user gives the clarity and visibility of what they are feeding and what should be expected from the API response.

Scenario:

  1. Selects start analysis

  2. Inputs the information

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#2 Two steps and chill

Preview the fetched response and run the analysis. The product's backend might seem complex but the whole analysis takes only two steps or max of 2 mins from user’s end which saves hours.

Scenario:

  1. Preview the candidates list

  2. Runs analysis

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#3 Report generation

Once the analysis is done the user will be taken to a dashboard page where they can find these followings

  1. Clear first section where the designation, number of candidates and the suitable count and its percentage is visible.

  2. Next a clear breakdown of time consumption by both AI and human — time saved and capital saved as per market standards are shown.

  3. Table like format which has candidate info, score out of 100, result and actions which holds link for resume and analytics description for each candidate.

Scenario:

  1. Waits till the analysis ends

  2. Previews the report dashboard

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RecruitCrm integration - The real USP of the product

Unlike other products this doesn't demand you to be there right in front of the screen. The moment it finishes the analysis it automatically updates the stage status on the integrated app. In our case it's recruit crm — it moves all the analysed candidates to appropriate buckets. For e.g. Recommended by AI / Rejected by AI

System Architecture & Foundations

These are the core design tokens — the smallest reusable decisions that inform every component and layout. They define the system’s visual identity and ensure brand consistency across all touchpoints.

tailwind for quick development

Cursor for quick functional execution

Supabase as database

My growth as a designer
through this project

01

Project thinking end-to-end

Managed to take the product from the ideation phase till execution as a designer.

02

Design engineering

From translating ideas to design to solve any problem -> Executing the solution to an actual working prototype using my deign & dev knowledge.

03

0 -> 1 product building

Crafting the solution and building the phase 1 till deployment under 2 weeks as a designers and launching it on product hunt.

04

Usage of AI tools

Blending both design and dev knowledge with the help of tools like Cursor, windsurf and, etc.,

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