AI platform for home service businesses: websites, booking, and marketing automation
Topline Pro builds a generative AI platform targeting home service businesses—websites, booking systems, and marketing automation stacked on Python + Django + React, with heavy LLM integration (OpenAI, Anthropic, LangChain, LangGraph). The tech stack reveals a product pivoting toward agentic marketing workflows; hiring velocity is accelerating but heavily tilted toward sales (3 roles) and product (3 roles) relative to engineering (1 role), suggesting a go-to-market constraint during hypergrowth. Core pain points cluster around retention and conversion—churn rate, low net revenue retention, onboarding throughput—indicating the product is acquiring customers faster than it can stabilize them.
Notable leadership hires: Head of Finance
Topline Pro (founded 2020, formerly ProPhone) is a generative AI platform helping home service businesses build custom websites, manage online booking, and automate marketing at scale. The product sits at the intersection of Shopify-style website builders and marketing orchestration, powered by LLMs and syncing content to local listings, social channels, and ad platforms (Google, Meta, TikTok). The company operates across the United States and United Kingdom with 51–200 employees. Active projects span agentic marketing products, scalable onboarding, and finance function buildout, signaling both product expansion and internal infrastructure maturation during a period of rapid growth.
Topline Pro uses Python, Django, React, and PostgreSQL for core infrastructure. On the AI/LLM side: OpenAI, Anthropic, LangChain, LangGraph, and Pydantic AI for agentic workflows. Marketing and payments: Stripe, Twilio, Meta Ads Manager, Google Ads Manager, TikTok Ads Manager.
Topline Pro is headquartered in New York, NY and actively hiring in the United States and United Kingdom.
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Topline Pro'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.