Salon, spa, and fitness booking and payment platform serving 83,000+ businesses
Vagaro operates a .NET/C# backend (SQL Server, MongoDB) with a modern React frontend serving beauty, wellness, and fitness verticals. The stack reveals a business in transition: active projects target microservices migration, data pipeline buildout (ETL/ELT with Airflow and Prefect), and web-scraping infrastructure—signaling a shift from pure SaaS toward data-driven growth and operational consolidation. Hiring is accelerating with mid-to-senior engineering focus, paired with equally active sales and data recruitment, indicating both product expansion and customer acquisition scaling.
Vagaro is an all-in-one booking, payment, and business-management platform for independent salons, spas, fitness studios, and franchise operations. The product integrates online scheduling, payment processing, and operational tools to reduce admin overhead for solo entrepreneurs and small teams. With 83,000 active businesses on the platform, Vagaro operates at mid-market scale. The company serves the US and India hiring markets and maintains a distributed engineering and go-to-market organization.
Vagaro's backend is built on .NET and C# with ASP.NET MVC, SQL Server, and MongoDB. Frontend uses React, JavaScript, and Tailwind CSS. Infrastructure runs on AWS, GCP, and Azure. Sales and HR leverage HubSpot and Salesforce.
Active projects include microservices migration (from monolithic systems), ETL/ELT pipeline buildout for external data, web-scraping infrastructure, payments roadmap execution, and pricing scenario modeling. Data quality and compliance systems are in parallel development.
Vagaro'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.