Expert network platform connecting investors, startups, and verified advisors
Office Hours operates a two-sided expert network marketplace for institutional buyers (VCs, consultants, startups) seeking domain expertise. The stack spans Node.js, TypeScript, React, Next.js, PostgreSQL, and MongoDB—a modern full-stack web foundation—with Temporal for workflow orchestration and OpenSearch for expert discoverability, suggesting heavy focus on matching and knowledge retrieval. Active project list (AI-powered capabilities, AI workflow integration, marketplace interface refinement) reveals a company mid-pivot toward AI-assisted matchmaking and workflow automation rather than pure directory lookup.
Office Hours connects institutional clients—venture capital firms, consulting shops, and early-stage companies—with thousands of verified experts across technology, software, and healthcare domains. Founded in 2020 and based in San Francisco, the company operates a platform where knowledge-seekers can book calls or async advice from vetted advisors. The business model is B2B SaaS, positioning itself between expert supply (advisors) and institutional demand (investors and startups seeking external perspectives). The company is in growth-stage hiring (19 open roles, engineering-led with support and sales functions scaling in parallel) and based across the United States and India.
Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, OpenSearch, Temporal, AWS, Kubernetes, and Docker form the core. Observability is handled by Datadog and Sentry; product operations run on PostHog, Metabase, Linear, and Notion.
Active projects include AI-powered matching capabilities, AI workflow integration, end-to-end product features, scalable system architecture, and refinement of the expert marketplace interface. Content creation for brand narrative and product launch strategy are also underway.
Office Hours'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.