Product Engineering
Full-stack web and mobile development for startups building their first product and enterprises modernising legacy systems.
Build Products That Scale From Day One
EulerHive delivers end-to-end product engineering — from architecture design and API development to CI/CD pipelines and production deployment. We work with Next.js, React Native, Node.js, and Python to build software that is fast, maintainable, and ready to scale.
What We Deliver
Core engineering capabilities within Product Engineering, built to enterprise reliability standards.
Full-Stack Web Development
Production-grade web applications built with Next.js, React, and Node.js. Server-side rendering, API routes, and database integration handled end-to-end.
Mobile App Development
Cross-platform mobile apps with React Native. Shared codebase, native performance, and seamless integration with your existing backend.
Architecture & API Design
Scalable system architecture, RESTful and GraphQL API design, database modelling (PostgreSQL, MongoDB, Supabase), and microservices planning.
CI/CD & DevOps Integration
Automated pipelines with GitHub Actions, Vercel, or custom CI/CD setups. Code quality gates, automated testing, and zero-downtime deployments.
Legacy System Modernisation
Incremental migration from monoliths to modern architectures. Strangler-fig patterns, API-first refactoring, and risk-managed cutover strategies.
Technical Due Diligence
Codebase audits, architecture reviews, and scalability assessments for startups preparing for funding rounds or enterprise procurement.
Architectural Deep Dives & Tradeoffs
Core engineering decisions, technical tradeoffs, and production standards we apply across Product Engineering.
Modular Monolith vs. Microservices for Startups
Microservices introduce operational tax: service discovery, distributed tracing, network failure recovery, and multi-pipeline management. By starting with a well-structured modular monolith in Next.js or Node.js with strict internal domain boundaries, teams ship features significantly faster. You can extract individual modules into microservices only when specific components develop conflicting scaling or deployment requirements.
Standardized MVP Delivery Timeline: 4 to 8 Weeks
We execute in 2-week agile sprints. Sprint 0 covers technical discovery, data modeling, and wireframes. Sprints 1 and 2 deliver core authenticated user workflows and primary data integrations directly to your staging environment. The final sprint hardens security, validates performance, and executes production cutover. Delivery dates reflect realistic engineering velocity, not over-promised guarantees.
Technical Due Diligence & Code Ownership
We transfer all work directly into your GitHub or GitLab organization on every sprint. Code is written in strict TypeScript with comprehensive automated tests and clear documentation so internal teams or prospective investors can audit and maintain it seamlessly.
Technologies We Use
Battle-tested frameworks, databases, and infrastructure tools powering Product Engineering.
Related Case Studies
See how our Product Engineering practice delivered production software for verified clients.
AmpsNow: High-Performance CleanTech Web Platform
Full digital platform engineered with Next.js, Payload CMS, and MongoDB in 6 weeks with a 100/100 Lighthouse score under project testing conditions.
GharSelect: PropTech Discovery & Data Platform
Property discovery platform normalizing Gujarat RERA regulatory data with custom CMS and multi-role portals.
Engineering Playbooks & Guides
First-hand engineering articles relevant to Product Engineering.
Common Questions
Answers to what engineering leads and founders typically ask before engaging.
How long does EulerHive take to build a startup MVP?
Typical MVP delivery takes approximately 4–8 weeks depending on scope and complexity. Focused MVPs can launch in around 5 weeks when product requirements, design, and technical decisions are tightly scoped.
Can you take over and refactor an existing codebase?
Yes. We begin with a comprehensive technical audit, document technical debt, identify bottlenecks, and execute incremental sprint refactoring without disrupting ongoing roadmap deliverables.
What is your engagement model and pricing structure?
We work across fixed-scope MVP sprints ($2,000–$7,500 for validation prototypes to $10,000–$25,000+ for production SaaS) and dedicated monthly engineering pods ($3,500–$6,000 per engineer/month).
Other Practice Areas
One integrated engineering team across four software disciplines.
AI & Intelligent Systems
End-to-end ML pipeline development, LLM integration, and intelligent automation for businesses ready to move beyond demos.
Platform & DevOps
Infrastructure-as-code, Kubernetes, GitOps, and full-stack observability for engineering teams that need to move fast without breaking things.
Data Engineering
Streaming and batch pipeline design, data warehouse modelling, and real-time analytics for teams that need reliable, observable data infrastructure.
