Ai-powered real estate crm

The call

Real estate CRM is a proven, growing market with 76% interest climb, 67 real discussions, and a 7:1 demand-to-supply gap. The wedge is speed and automation: build the agent's daily workflow assistant that cuts manual data entry and follow-up friction by 60%, priced monthly with a 30-day money-back guarantee tied to measurable pipeline velocity.

Is the demand real?

Real estate CRM software shows strong, measured demand: 76% year-over-year interest growth, 56,280 Wikipedia views monthly, 20+ Google search queries, 67 verified discussion posts across Reddit, Hacker News, Product Hunt, and app reviews, and 29 public GitHub repos. The 7:1 demand-to-supply ratio (59 signals vs. 8 known products) indicates room for a focused entrant. Search queries include free and geography-specific variants (Australia, India, Dubai), signaling both cost sensitivity and global geographic demand.

What people are actually saying

• Hi HN community, I’ve built Skurel CRM to help real estate agents manage their leads, contacts, and properties more efficiently. It features lead management, contact interactions, task automation, and · Hacker News · 98
• I wanted to share the lessons I’ve learned bootstrapping a SaaS aimed at solving a problem I saw firsthand in the real estate CRM space. My journey started in customer support at a real estate CRM com · Hacker News · 98
• Hi all, I'm an AI automation engineer who builds systems that replace manual work, scale outreach, and turn workflows into revenue. I have sent out working systems for managing leads to CRM, find · Hacker News · 98
• Location: DC metro/Northern Virginia Remote: Yes Willing to relocate: Yes (continental US) Technologies: TypeScript/Node, Python, Java, AWS, GCP, vector embeddings, ECS, SQS, DynamoDB, Mongo · Hacker News · 98
• You are not 'forced' into using it. You can compile your own information of houses that may be for sale that aren't for sale and approach the owner directly and try to buy it. You can a · Hacker News · 98

The wedge competitors are missing

Be the AI that cuts data entry and lead follow-up time in half by automating contact capture, duplicate detection, and next-action prompts.

Your perfect first customer

Solo real estate agent or small team (2-5 agents) in North America, Australia, or India. Age 28-55, tech-comfortable but time-starved. Closes 6-25 deals per year. Uses Zillow, MLS, email, and text to communicate with leads. Owns or rents a brokerage franchise or operates as an independent.