HSystem Tech Stack

Booking engine platform that drives direct hotel reservations online

Software Development Florianópolis, Santa Catarina 51–200 employees Founded 2012 Privately Held

HSystem operates a hotel reservation platform engineered around direct-booking growth — the company claims to double online reservations for clients. The tech stack reveals a modernization-in-progress: .NET Framework is being phased out in favor of .NET 8, while AWS Lambda and containerized workloads (Docker, Kubernetes) suggest a shift toward event-driven, scalable infrastructure. The active project list (customer service AI, upsell initiatives, onboarding process documentation, backend Lambda services) combined with pain points around churn reduction and scaling to thousands of properties indicates HSystem is tightening product-market fit and operational efficiency as it grows beyond small hotel chains.

Tech Stack 30 technologies

Core StackZendesk Power BI Looker Python Go Next.js React TypeScript Tailwind CSS AWS AWS Lambda Sentry OpenTelemetry MariaDB MongoDB Angular .NET JavaScript Docker Kubernetes RabbitMQ Kafka n8n Photoshop NET Core AWS SQS AWS SNS Harness .NET Framework MongoDB Atlas

Replacing.NET

What HSystem Is Building

◆Challenges

Improving customer service quality
Data-driven quality culture
Identifying error patterns
Reducing churn risk
Identifying upsell opportunities
Reducing onboarding time
Migrating legacy framework to .net 8
Modernizing architecture
Evolving complex fullstack solutions
Scaling for thousands of hotel properties

▲Active Projects

Customer service ai project
Scalable customer engagement initiatives
Upsell and cross-sell initiatives
Customer feedback integration
Implementing hsystem platform for clients
Documenting onboarding processes
New product of hsystem
Modernization of legacy .net framework to .net 8
Development of backend services on aws lambda
Fullstack solution evolution for hotel products

Hiring Activity

Accelerating9 roles · 9 in 30d

Department

Engineering

Support

Design

Ops

Sales

Seniority

Junior

Mid

Senior

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About HSystem

HSystem builds a reservation and customer engagement platform for hotels across Latin America, headquartered in Florianópolis, Brazil. The product addresses a specific pain point: most hotels lack meaningful online market share and rely on third-party booking channels that charge commissions up to 35%. HSystem's platform enables direct bookings through hotel websites, supported by customer service tooling, feedback loops, and upsell mechanisms. The company serves a client base ranging from independent properties to small chains, with technical infrastructure distributed across AWS (Lambda, SQS, SNS), relational and document databases (MariaDB, MongoDB), and orchestration layers (RabbitMQ, Kafka). The 51–200 person team is distributed across engineering, customer support, design, and sales, with recent hiring focused on junior engineers and support staff.

HeadquartersFlorianópolis, Santa Catarina

Company Size51–200 employees

Founded2012

Frequently Asked Questions

What is HSystem's tech stack?

HSystem uses .NET Core, Python, Go, and Next.js/React on the frontend; AWS (Lambda, SQS, SNS) for infrastructure; MariaDB and MongoDB for data; Docker and Kubernetes for orchestration; and RabbitMQ and Kafka for messaging. The company is actively migrating from .NET Framework to .NET 8.

What is HSystem working on?

Current projects include customer service AI, scalable customer engagement, upsell and cross-sell initiatives, customer feedback integration, platform implementation for new clients, onboarding documentation, .NET Framework modernization, and AWS Lambda backend services for hotel products.

How this profile is built

HSystem's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.