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Just shipped Estatewise. A brokerage CRM with an AI co-pilot that qualifies leads and writes follow-ups in the agent's voice.
What it actually does.
Pulls leads from Zillow, Realtor.com, and MLS into one pipeline.
AI co-pilot drafts SMS and email replies grounded in the agent's prior wins.
Listing-aware enrichment, pulls comps, school scores, and walkability into each lead card.
Result for a 3-agent test pilot. First-touch response time dropped from 4 hours to 4 minutes, and inbound-to-tour conversion went up 27% in the first 90 days.
Stack. Next.js 15, FastAPI, Postgres with RLS for multi-tenancy, Redis for queues, OpenAI GPT-4 plus a fine-tuned embedding model, pgvector for retrieval, AWS ECS Fargate.
Working on a similar pain point in real estate or B2B sales? Tell me what you are stuck on.
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Nice work sir,
Sir we can Build this normally with App script. I just Built yesterday.
Where Google sheet will received the leads from any channel + store and distribute as per described assignment rules and notify with lead details to respected person.