Beemodo

Beemodo is an AI-powered talent marketplace I built to connect employers with skilled freelancers and professionals. I combined a modern web stack with AI-assisted workflows to streamline hiring — making it easier to match the right talent with the right opportunities.

Platform overview

I designed Beemodo around two primary user groups:

• Employers — Post job opportunities, discover talent, and manage applications
• Talent (freelancers and professionals) — Build profiles, showcase experience, and apply for jobs

The platform enhances traditional hiring by integrating AI-driven insights and real-time communication tools.

Key features

1. AI-powered matching

• Intelligent compatibility scoring between candidates and job postings
• AI-assisted resume parsing during onboarding
• AI-generated job descriptions for employers

2. Talent marketplace

• Job posting and application system
• Talent discovery and profile browsing
• Portfolio and experience management

3. Real-time communication

• Built-in messaging between employers and talent
• Conversation threads for collaboration and hiring discussions

4. Notifications

• In-app notifications for updates, applications, and messages
• Real-time updates to keep users engaged

5. User profiles and onboarding

• Multi-step onboarding for talent
• Resume upload and structured data extraction
• Profile customization including skills, experience, and services

6. Application management

• Application tracking and status updates
• Employer-side review and candidate evaluation

Tech stack

I built Beemodo on a full-stack JavaScript architecture focused on scalability and performance.

Frontend

• Next.js (App Router)
• React
• TypeScript
• Tailwind CSS
• Headless UI and Heroicons

Backend

• Next.js API Routes (server-side logic)
• Supabase (PostgreSQL database and authentication)

Realtime and storage

• Supabase Realtime (messaging and notifications)
• Supabase Storage (file uploads such as resumes)

AI integration

I integrated OpenAI to power resume parsing, job description generation, and compatibility scoring.

Architecture summary

• Frontend: UI and user interactions
• API layer: Business logic and database communication
• Database: User data, jobs, applications, and messaging
• Realtime layer: Live messaging and notifications

This setup supports a responsive, scalable experience end to end.

Where it stands

The current release is a functional MVP with authentication and onboarding, the job marketplace, messaging and notifications, and the AI features all live. Payments, email notifications, and admin tools are next on my roadmap.

A working AI-enhanced hiring platform — matching, onboarding, applications, and live messaging built end-to-end, not just surface-level UI.