Direct booking platform for hotels to increase conversion and reduce OTA dependence
Triptease operates a SaaS platform helping hotels drive direct bookings through their websites. The stack reveals a modern, distributed architecture (Node.js + React frontend, PostgreSQL + MongoDB databases, Kubernetes + Cloud Run infrastructure, BigQuery for analytics), paired with heavy investment in sales automation (Salesforce, Outreach, Apollo) and finance tooling (Xero). Active projects cluster around two themes: aggressive North America expansion and operational modernization (ERP migration, finance automation, finops improvements), suggesting the company is scaling revenue channels while overhauling back-office systems.
Triptease is a London-based SaaS startup founded in 2013, building a direct booking platform for the hospitality industry. The product helps hotels attract and convert guests directly through their websites, reducing reliance on online travel agencies. The company operates offices in London, New York, Barcelona, and Singapore, serving mid-market and enterprise hotel groups. Core product capabilities center on conversion optimization and guest acquisition on hotel websites. Revenue model is SaaS subscription. The organization is privately held with 51–200 employees.
TypeScript, Node.js, React, PostgreSQL, MongoDB, Redis, Kubernetes, Cloud Run, BigQuery, Pub/Sub, Terraform, Python, Kotlin. Sales and finance ops run on Salesforce, Outreach, Apollo, Xero, and Intercom.
United Kingdom, Portugal, and United States. Currently recruiting across engineering, finance, and sales with 6 active roles and accelerating velocity.
North America market expansion, ERP migration and finance systems modernization, AI-driven outreach personalization, and automation to reduce manual finance operations.
Triptease'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.