Dynamic pricing platform for restaurant demand management
EatClub operates a demand-management platform enabling restaurants to apply dynamic pricing to table inventory, filling off-peak capacity through a consumer app. The tech stack (HubSpot, Databricks, Gong, Zendesk) and hiring pattern reveal a sales-led organization scaling customer success: 16 of 23 active roles are sales or account-management focused, with projects centered on portfolio optimization, venue retention, and support scaling—indicating the core challenge is converting restaurant partners into profitable, sticky accounts rather than product-led adoption.
Notable leadership hires: Head of Sales
EatClub is a hospitality platform that helps restaurants and bars manage table demand through dynamic pricing and last-minute deal distribution. Founded in 2017 and headquartered in Bondi Junction, the company partners with over 4,000 venues across Australia and the UK, operating in nine Australian cities plus London. The platform operates two sides: a consumer-facing app (iOS, Android) offering time-sensitive discounts, and a back-office layer (via HubSpot, Zendesk) managing restaurant relationships, pricing, and operational workflows. Revenue generation for venues and partner retention are the primary operational metrics.
EatClub runs on AWS infrastructure with Java and Kotlin backends, PostgreSQL and MySQL databases, GraphQL APIs, and Databricks for analytics. Customer-facing tools include HubSpot (CRM), Zendesk (support), Gong (sales enablement), and Meta/Google/Apple advertising platforms.
EatClub is headquartered in Bondi Junction, New South Wales, Australia. The company operates across nine Australian cities and London, with hiring active in both Australia and the UK.
EatClub'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.