Rental screening and decisioning platform for property managers
Findigs operates a full-stack rental platform connecting property managers, residents, and screening workflows. The tech stack spans Python/Django backend, React frontend, and orchestration via Temporal—a pattern suggesting complex async workflows around applications and approvals. Active hiring across engineering, marketing, and sales (9 roles posted in the last 30 days) paired with projects around reporting infrastructure, platform evolution, and growth engines indicates momentum toward scaling beyond core screening into broader operational tools for property management.
Findigs is a SaaS platform for rental screening and tenant decisioning based in New York. The product serves property managers and renters across the US, automating tenant vetting, application management, and approval workflows. The company operates across three primary surfaces: screening tools for property managers, application simplification for renters, and a back-office decisioning system. The tech infrastructure—Python/Django, PostgreSQL, Temporal for workflow orchestration, and deployment across AWS/GCP/Azure—supports real-time processing of applications and financial verification. Current pain points centered on slow and opaque rental processes, compliance reporting, and investor visibility suggest the product roadmap is expanding beyond screening into financial planning and operational analytics.
Findigs runs Python and Django on the backend, React and TypeScript on the frontend, Temporal for workflow orchestration, and PostgreSQL + MongoDB for data storage. Infrastructure spans AWS, GCP, and Azure. Sales and CRM tools include Salesforce, HubSpot, and SalesLoft.
Active projects include reporting infrastructure, platform evolution launch, growth engine build, category building, and new feature go-to-market strategy. Secondary initiatives focus on office automation and M&A evaluation support.
Findigs, Inc.'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.