A large, liquid housing market
Nearly one million homes changed hands in the first eight months of 2026. Most activity is in the second-hand market — exactly where broker sourcing, owner conversations, timing and local knowledge matter.
Huso Scout is an AI listing-acquisition agent for real estate brokers. It continuously finds high-potential owner listings, uses Claude to qualify opportunities, and helps turn the right conversations into portfolio leads.
Prioritized from newly available listings
Fresh listing · price near local range · complete owner contact
High-demand micro-market · listing updated today
Strong portfolio fit · objection: exclusivity
Türkiye already has a deep online listing ecosystem. Our thesis is that the next efficiency gain is not another search box — it is an agent that helps brokers act on the right owner-listed opportunities.
Nearly one million homes changed hands in the first eight months of 2026. Most activity is in the second-hand market — exactly where broker sourcing, owner conversations, timing and local knowledge matter.
Brokers define where and what they want to acquire. Huso Scout continuously turns permitted listing inputs into a prioritized, explainable pipeline of potential portfolio opportunities.
Neighborhoods, property types, price ranges, owner-listed preference and the broker's own acquisition rules.
Continuously ingest new opportunities from permitted listing feeds, imports and broker-connected sources.
Score portfolio fit, interpret messy listing text, surface missing information and explain why an opportunity matters.
Prepare and conduct broker-configured, compliant outreach through connected voice or messaging tools, with clear AI disclosure where required.
Capture objections, follow-up timing and owner intent, then hand qualified portfolio leads to the broker with context attached.
Huso Scout is being designed around Claude as the qualification, conversation and orchestration layer. The difficult part is not finding a listing URL. It is understanding whether the opportunity fits the broker, what is missing, how to approach the owner, what an objection means and what should happen next.
We plan to use Claude for listing interpretation, fit scoring, structured extraction, outreach planning, multi-turn conversation reasoning, objection classification and CRM-ready outcome generation.
A listing is only a lead. The product value comes from understanding owner intent, handling the conversation responsibly and preserving context for the human broker.
Instead of treating every rejection equally, the agent can reason about what the owner actually means.
Claude converts the conversation into a concise next action and a reusable pipeline record.
The product is currently a prototype. The first technical goal is to prove that Claude can consistently turn raw listing opportunities and owner conversations into useful, safe, structured broker actions.
A narrow workflow for a defined territory: ingest permitted owner-listed opportunities, qualify them with Claude, generate an explainable priority queue and test broker-supervised outreach.
Building AI-native consumer and vertical software products, starting with a focused real-estate acquisition workflow in Türkiye.
We are building the first version of an AI-native listing acquisition agent for Türkiye's real estate market.
hi@husolabs.com ↗