90min operates a football media business built around fan engagement across social channels (Instagram, X, TikTok, YouTube) while scaling a B2B ad and publisher marketplace. The tech stack reveals dual focus: media distribution (Meta, Hootsuite) paired with modern data infrastructure (BigQuery, Athena, Rivery, Looker, Tableau) and a growing real-time analytics layer (monitoring football trends, building performance dashboards). Hiring is marketing-heavy with 12 open roles, but the adoption of Cursor and Claude in an engineering team of 3 suggests a lean product org using AI to compress development cycles.
90min is a UK-based football media company serving fan audiences and B2B publishers and advertisers. The business operates across two overlapping channels: direct fan engagement through social platforms and owned content, and a commercial network connecting publishers, sponsors, and advertisers. The platform ingests third-party data at scale, monitors real-time football trends, and surfaces performance analytics to publishers and sales teams via Looker and Tableau dashboards. Revenue streams include direct advertising, sponsored content campaigns, and publisher partnerships. The org is actively scaling sales (7 roles open) and marketing (12 roles open) to expand sponsor revenue and direct ad campaigns globally, while simultaneously modernizing data operations to replace manual workflows.
90min uses Hootsuite and Meta for social distribution, BigQuery and Athena for data warehousing, Looker and Tableau for analytics, and a React/Node.js/Go stack on the product side. Recent AI adoption includes Cursor and Claude for development.
Current projects include building a revenue single source of truth, scaling data pipelines, optimizing sales workflows in Salesforce, monitoring real-time football trends, and developing publisher onboarding and B2B performance dashboards for advertiser campaigns.
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