Property management automation for mid-market German housing firms
Powerprozesse automates tenant and owner management workflows for German property-management firms with 5–100 staff. The stack—Python, React, Next.js, Supabase—signals a modern full-stack product, but the hiring velocity tells the real story: 9 roles posted in 30 days (ops, sales, engineering) across junior and mid-tier levels, with two-thirds going to operations and sales. This is a product-market-fit phase company scaling go-to-market and internal operations, not pure engineering.
Powerprozesse builds automation and AI-agent tools for Hausverwaltungen (property-management companies), targeting firms with 5–100 employees. The product combines low-code workflow automation with AI agents to reduce manual tenant and owner-interaction tasks. The company is fully remote, based in Worms, Germany, and operates as a public company. Core pain points they're solving include fragmented manual workflows and process optimization for mid-size operators; customer acquisition velocity is also a stated focus.
Python backend, React/Next.js/Vite frontend, Supabase for data, TypeScript for type safety, Tailwind CSS and shadcn/ui for UI components. Development uses GitHub and Cursor.
Automates tenant and owner management for property-management firms (5–100 employees) using digital workflows, low-code automation, and AI agents. Product is called Hausverwalter AI.
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