Online marketplace for booking and managing outdoor home services
LawnStarter runs a two-sided marketplace connecting homeowners with lawn and outdoor service pros, built on PHP/Laravel, React, React Native and Kubernetes on AWS. Hiring is accelerating and skews senior, with security emerging as a major focus: job posts point to formalizing security and controlling risk from AI-generated code written with tools like Cursor and Codex. On the data side, they are consolidating BI on Lightdash over dbt and Redshift, replacing Tableau and Metabase.
LawnStarter, founded in 2013 and headquartered in Austin, TX, operates a marketplace where consumers order and manage outdoor home services such as lawn care, mowing and landscaping. The platform serves both homeowners and independent service providers, with operations spanning more than 3,000 US cities. The privately held company employs 201–500 people and hires across the United States, Mexico, Brazil and Colombia. It operates across multiple brands and is expanding into service verticals beyond lawn care.
LawnStarter's stack includes PHP, Laravel, Python, TypeScript, React, React Native and Vue, running on AWS with EKS, ECS, Lambda and Aurora, managed via Terraform. Data runs on Redshift, dbt, Airflow and Lightdash.
LawnStarter hires in the United States, Mexico, Brazil and Colombia, supporting a distributed team with an accelerating pace of hiring led by engineering and security.
Current initiatives include security controls for AI-agent-written code, automated scanning pipelines, AI-powered support for customers and pros, evaluation systems for AI quality, and expansion into new service verticals.
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LawnStarter'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.