Purchase PandaHR Codebase
Launch your own HR SaaS – 10x faster
Skip the early grind. Get a complete, production-ready HR platform and focus on growth, not groundwork.
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Own a proven HR SaaS foundation
The PandaHR codebase includes everything you need to launch a secure, scalable HR platform – built with Flask and Vue, and used in production by real businesses.
What’s in the box?
Everything you need to launch your own HR SaaS product. Our full stack codebase is production-tested, developer-friendly, and built for real-world scale — no templates, no shortcuts, just serious infrastructure for serious growth.
Full stack codebase
You’ll get a complete HR SaaS application built with Flask (backend), Vue.js (frontend), and PostgreSQL (database). The structure follows clean architecture principles, features a modular design for easy extension, and includes core modules like job posting, applicant tracking, onboarding flows, and document management. Designed to save you months of development time.
Modern architecture
Built with scalability and maintainability in mind. The codebase uses a service-oriented approach with full API-first design, secure authentication, role-based permissions, and multi-organisation tenancy baked in. You’ll also get logging, audit trails, modular billing support, and background task handling – all ready to deploy.
Proven in production
This isn’t a starter template — it’s a mature, live system powering real businesses and thousands of users monthly. It’s been field-tested, secured, iterated, and optimised for performance, uptime, and usability. Ideal for founders, CTOs, or agencies building commercial-grade HR tools.
Frequently asked questions
What do I receive?
You receive full access to the entire PandaHR source code – backend (Flask), frontend (Vue.js), and PostgreSQL schema. This includes user authentication, job posting, candidate management, onboarding workflows, admin settings, document handling, and more. Everything is modular and ready to be deployed, extended, or integrated with your own systems.
Is support included?
Support, updates, or onboarding services are not included in the base purchase price. However, we offer optional support packages and consultation if you’d like help setting up, customising, or scaling the platform. We’re happy to assist with deployment guidance, code walkthroughs, and technical Q&A.
Can I use it commercially?
Yes – the license grants you commercial rights. You can build your own SaaS business using the codebase, brand it however you like, and offer the platform to clients or customers. The only restriction is resale of the codebase itself (i.e., you can't repackage and sell it as a dev product).
What stack is it built with?
PandaHR is built using Flask (Python) for the backend API, Vue.js for the frontend SPA, and PostgreSQL for the database. It uses modern libraries for authentication, role-based permissions, task queues, API documentation, and testing. It's designed for developers looking for a clean, scalable foundation.
Can I customise the UI and features?
Yes. The frontend is fully decoupled from the backend, and built with Vue.js using component-based architecture. You can modify the design, layout, workflows, and business logic to match your brand or customer needs. The backend uses clear separation of concerns, making feature development straightforward.
How long will it take to launch my own version?
Depending on your experience and desired level of customisation, many founders can get a branded MVP live in 2–4 weeks. The system is built to require minimal setup, with documentation and examples provided. If you're starting from scratch, this can save you 6–12 months of development.
Do I need a team to run this?
Not necessarily. Solo developers or small teams can manage the deployment and customisation. If you’re familiar with Flask and Vue, you can hit the ground running. For scaling or ongoing feature development, you may eventually want a small team to support product evolution.
Ready to own the platform?
Let’s talk
Book a call or email us to discuss pricing, licensing, and next steps for acquiring the PandaHR codebase.
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