Slate operates a multi-channel news and culture publication built on Node.js, Django, and PostgreSQL, with a podcast network that spans 20+ shows. The project backlog reveals a metrics-first growth focus: mid-funnel measurement, full-funnel mapping, paid acquisition scaling, and social-first video adaptation signal a shift from editorial-driven distribution toward data-informed audience development. Hiring acceleration across engineering, product, and ops (with three mid-level and three C-level open roles) suggests investment in retention and churn reduction—core pain points the org is currently tackling.
Slate is a general-interest online magazine and podcast network founded in 1996. The editorial product spans politics, news, business, technology, and culture, reaching over 25 million unique visitors and 40 million pageviews monthly. The podcast network, established in 2005, produces more than 20 shows and generated 190 million downloads in 2022. The company operates as a privately held entity based in Brooklyn, NY, with a 201–500-person workforce. Content distribution runs across web, podcast, and social platforms; the current product roadmap emphasizes user journey mapping, video adaptation, and paid growth integration alongside editorial operations.
Slate's primary stack includes Node.js, Django, PostgreSQL, Redis, Docker, and Jenkins for backend and infrastructure; Vue and React Native for frontend; and Amplitude for analytics. Editorial and operational tools include Notion, HubSpot, Mailchimp, Asana, and Simplecast for podcast hosting.
Slate.com reaches over 25 million unique visitors monthly and averages more than 40 million pageviews per month.
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Slate Magazine'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.