Homeowner marketplace connecting renovation projects with qualified service partners
Aroundhome operates a two-sided marketplace connecting German homeowners with contractors for major property projects. The tech stack—Kafka, Airflow, Spark, Databricks, Snowflake, dbt—signals a data-pipeline-heavy architecture optimized for matching quality and partner performance tracking. Current projects focus on partner platform scaling, compliance automation, and funnel optimization, while pain points center on match quality, trust, and partner revenue—typical friction points in marketplace maturation.
Aroundhome is Germany's leading home-services marketplace, founded in 2008 and headquartered in Berlin. The platform helps homeowners navigate major property decisions—selling, renovating, maintaining—by matching them with vetted service partners (contractors, agents, installers). The business operates on both sides of the marketplace: a consumer-facing recommendation platform for homeowners, and a partner network managing onboarding, performance, and compliance. The organization is lean (201–500 employees) but product and data-heavy, reflecting marketplace scaling challenges around match quality, trust, and partner lifecycle management.
Aroundhome runs on Kafka, Apache Spark, Airflow, Databricks, and Snowflake for data pipelines; Salesforce and Datev for operations; AWS (Athena, MSK) for infrastructure; dbt, Tableau, and Metabase for analytics; and Terraform for IaC.
Aroundhome is headquartered in Berlin, Germany, at Potsdamer Platz 11. The company is a public company founded in 2008.
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Aroundhome'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.