Media and events platform for business leadership content and community
Valuetainment operates a diversified media and events business anchored in podcasts, live conferences, and premium content around entrepreneurship and leadership. The tech stack spans full-stack web infrastructure (React, Node.js, TypeScript, PostgreSQL/MongoDB on AWS/Azure/GCP) plus business intelligence tools (Tableau, Power BI, Looker) and CRM systems (HubSpot, Salesforce, Dynamics 365)—suggesting infrastructure that supports both content distribution and transactional operations. Active hiring skews engineering-heavy (5 of 19 roles), with concurrent focus on event operations and sales leadership, indicating scaling pressure across digital products and sponsorship-driven revenue.
Notable leadership hires: Sponsorship Director, Sales VP
Valuetainment is a Fort Lauderdale-based media company founded in 2013, operating a global platform for business and leadership content. The company's brand portfolio includes a flagship podcast, consulting services, annual flagship conference, a direct-messaging platform (Minnect), merchandise, and a lounge concept. The business reaches millions of subscribers and hundreds of millions of content views. Core customer segments include entrepreneurs, executives, and emerging leaders seeking content and community. The company runs live events, consulting offerings, and membership/subscription products alongside ad-supported content, creating a revenue mix dependent on sponsorships, tickets, and direct-to-consumer sales.
React, Node.js, TypeScript, PostgreSQL, MySQL, MongoDB, AWS, Azure, GCP, Docker, Kubernetes, HubSpot, Salesforce. Design tools include Figma, Adobe Creative Suite. Analytics: Tableau, Power BI, Looker.
Active projects include event attendee journey redesign, financial modeling and dashboards, sales forecasting, VIP experience tiering, sponsorship ROI measurement, and sponsor retention strategies.
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Valuetainment'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.