//003SLCT – Minimal ATS with AI Screening(Live)
SLCT – Minimal ATS with AI Screening
Timeline
4 Weeks – MVP to Production
Client
SLCT
Status
Live
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Technologies
Next.js 15React 19Tailwind CSS 4FastAPIPostgreSQLAzure
Project Details
Platform:Web / SaaS
Target:Recruiters, HR teams, and startups
Company:SLCT
Project Overview
SLCT was built to address the frustration of bloated ATS platforms that slow down hiring rather than accelerating it. The platform focuses on what matters: posting jobs, screening candidates with AI assistance, and moving fast from application to hire.
Mission Statement
Create a hiring tool that respects the recruiter's time. No calendar integrations fighting for attention, no social features, no unnecessary complexity—just a focused tool to find the right people, fast.
Philosophy
No bloated features. No calendar integrations fighting for attention. Just a focused tool to find the right people, fast. SLCT is built on the belief that hiring software should get out of the way and let recruiters do what they do best—find great talent.
Design Principles
- Speed over features – Every interaction should feel instant
- Minimal by default – Show only what matters, hide the rest
- AI as assistant – AI augments human judgment, doesn't replace it
- Keyboard-first – Power users can navigate without touching the mouse
- Mobile-ready – Full functionality on any device
- Accessible – Built for everyone, WCAG compliant
Technical Architecture & Innovations
Core Technology Stack
- - Next.js 15 – Modern React framework with App Router
- - React 19 – Latest React with concurrent features
- - Tailwind CSS 4 – Utility-first styling
- - FastAPI – High-performance Python backend
- - PostgreSQL – Reliable relational database
- - Azure – Enterprise-grade cloud infrastructure
Development Phases
Foundation
Core ATS architecture and job posting system
- • Job posting creation and management
- • Application intake system
- • Basic candidate database
AI Integration
AI-powered screening and candidate analysis
- • Resume parsing and data extraction
- • AI candidate scoring algorithm
- • Automated screening recommendations
Pipeline & Workflow
Candidate tracking and team collaboration
- • Visual candidate pipeline
- • Stage management and automation
- • Team notes and collaboration
Launch & Scale
Production deployment and optimization
- • Performance optimization
- • Production deployment on Azure
- • Monitoring and analytics
Key Features
AI-Powered Candidate Screening – Automatically analyze and rank applicants based on job requirements
Minimal, Fast Interface – Clean dashboard designed for speed, not feature bloat
Smart Job Posting – Create and publish job listings in seconds
Candidate Pipeline – Visual kanban-style pipeline for tracking applicants
Quick Actions – Keyboard shortcuts and bulk operations for power users
Team Collaboration – Share candidates and notes with hiring team
Application Parsing – Automatic resume parsing and data extraction
Custom Screening Questions – Tailored questions to filter candidates early
Results
Launched production-ready ATS platform in 4 weeks
AI screening reduces manual review time by 70%
Sub-second page loads with optimized Next.js architecture
Clean, accessible interface with 100% Lighthouse accessibility score
Successfully processing applications for early customers