Side-by-side comparison of AI visibility scores, market position, and capabilities
Data journalism platform distributing fact-based stories to 3,000+ media partners; public dataset content syndication plus Stacker Studio brand content marketing for sponsored research.
Stacker is a data journalism and content marketing platform that produces fact-based, data-driven news stories using publicly available datasets — generating thousands of articles annually about topics ranging from local housing markets to national health trends — and distributes this content through a network of 3,000+ media partners including regional newspapers, digital publishers, and local TV station websites. Founded in 2017 and headquartered in Chicago, Stacker combines editorial data journalism with a content syndication model that gives media organizations a steady stream of data-verified, royalty-free content.\n\nStacker's editorial team uses public datasets (Census, BLS, CDC, USDA, sports statistics, real estate data) to create template-driven data stories — "The 25 cities with the highest median household income," "States with the lowest vaccination rates" — that are locally relevant when filtered by geography and consistently accurate because they cite official sources. Media partners (newspaper chains, local TV websites, regional digital publications) embed these stories in their sites through an iframe or CMS integration to supplement their original local reporting.\n\nIn 2025, Stacker also operates a content marketing division (Stacker Studio) where brands commission custom data journalism content about topics adjacent to their products — financial services companies creating content about debt statistics, healthcare companies creating health trend content — as a brand-safe, editorial-quality content marketing format. Stacker competes with traditional content marketing agencies, ThoughtLeadership content syndication platforms, and data-driven PR firms for content marketing budget. The 2025 strategy focuses on growing Stacker Studio brand partnerships, expanding the media distribution network, and developing AI-assisted data story generation to scale content production.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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