GullyGig Connect is a hyperlocal service marketplace that enables women, Customers, and skilled individuals to earn income by offering part-time services such as tutoring, sewing, cooking, home assistance, and other locals.
Customers can easily discover nearby service providers, view profiles, contact them, make secure payments, and leave ratings to build trust within the community.
Many skilled individuals, especially homemakers and Customers, struggle to find flexible income opportunities despite having valuable skills.
At the same time, local customers often rely on word-of-mouth recommendations or WhatsApp groups to find trusted service providers.
GullyGig Connect bridges this gap by creating a trusted platform for local-based services.
- 👤 User Profiles for service providers
- 📍 Location-based service discovery
- 🔍 Search and filter services
- ⭐ Ratings and reviews system
- 💬 Direct communication between users
- 💳 Secure payment integration
- 🛡️ Trust and verification features
- 📱 Responsive and mobile-friendly interface
- Homemakers
- Customers
- Tutors
- Tailors
- Home cooks
- Freelancers
- Skilled workers
- Families seeking local services
- Customers needing tutors
- Individuals looking for trusted nearby help
The initial MVP focuses on:
- User registration and login
- Service listing creation
- Browse nearby services
- Provider profiles
- Contact information sharing
- Ratings and reviews
- In-app chat
- Online booking system
- Escrow-based payments
- Provider verification badges
- AI-powered service recommendations
- Multi-language support
- Mobile applications
Current alternatives include:
- Urban Company (professional services)
- OLX (general listings)
- WhatsApp groups
- Word-of-mouth referrals
GullyGig Connect focuses on accessible, community-driven opportunities for everyday skilled individuals.
- Frontend: Next.js / React
- Backend: Supabase
- Database: PostgreSQL
- Authentication: Supabase Auth
- Payments: Razorpay / Stripe
- Deployment: Vercel
Contributions are welcome. Feel free to open issues, suggest improvements, or submit pull requests.
This project is licensed under the MIT License.