Just added @OpenObserve to Plushcap (link: plushcap.com/openobserve). The company was founded in 2022 with a $10m Series A raised last month. They ramped technical content hard before that with 69 posts published in 2026 (256 blog posts all time). That output velocity is a typical pattern for a DevTools PLG company to make the seed to Series A jump.
Their content strategy involves high output SEO/GEO and integration tutorials. They've published a 9-part "Datadog vs OpenObserve" series covering logs, metrics, traces, dashboards, alerts, RUM, pipelines, IAM, and cost. On top of that, dedicated "Top 10 alternatives" posts targeting Datadog, Grafana, Splunk, New Relic, and more. They're publishing integration tutorials across AWS, Azure, GCP, plus databases like PostgreSQL, MongoDB, and ClickHouse.
More recently they pivoted into AI/LLM observability content including how to monitor OpenAI API costs, trace LangChain and LlamaIndex apps, observe MCP servers, and monitor production AI agents.
YouTube is still early (960 subscribers, 91K views across 52 videos) but output matches the pace of their written output.
Full data for blog output, YouTube metrics, competitive positioning, and website breakdown: lnkd.in/dVJUfZw5
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