State policy news and intelligence software for government-focused professionals
State Affairs pairs a newsroom with an intelligence software product covering state government and policy. Its stack mixes Elasticsearch, Lucene and Neo4j for search and entity graphs with Slate and Tiptap editors, pointing to a collaborative research tool built on large text corpora. Hiring leans sales-heavy, with an Enterprise Account Director role and an outbound toolkit of HubSpot, Apollo, Lemlist and Aircall, signaling a push into enterprise accounts.
Notable leadership hires: Enterprise Account Director
State Affairs, founded in 2021 and headquartered in the United States, produces news, analysis and intelligence software focused on state-level government and policy. Its audience includes state leaders, policymakers and engaged citizens, alongside organizations in regulated industries that track state policy. The privately held company employs 51–200 people and hires in the United States across sales, engineering, design, journalism and product. Its product is built on React, Next.js, TypeScript, Node.js and Python, running on AWS with PostgreSQL and MongoDB.
State Affairs uses React, Next.js, TypeScript, Node.js and Python on AWS, with PostgreSQL, MongoDB, Elasticsearch and Neo4j, plus HubSpot, Apollo and Lemlist for sales.
Yes. Sales is the largest hiring area, including an Enterprise Account Director role, with additional openings in engineering, design, journalism and product in the United States.
Job posts point to a semantic-search UI, a real-time collaboration layer, ML classification of text, image and video content, and a shared design system.
Other companies in the same industry, closest in size
State Affairs'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.