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ChatHome
Find a home in Luxembourg by describing your life
8 followers
Find a home in Luxembourg by describing your life
8 followers
ChatHome is an AI-native real-estate platform for Luxembourg. Describe the home, commute and lifestyle you want in natural language, then compare relevant listings with local price, neighbourhood and mobility context.
A little more on what is under the hood:
DATA — ChatHome combines active Luxembourg homes with commune-level asking prices and rents, market trends, yields and forecasts; schools and crèches; public transport and commute times to Luxembourg City, Kirchberg and Belval; walkability; safety and demographics; PAG/PAP planning, cadastral and heritage context; flood, protected-nature, noise and air-quality signals; mortgage rates, acquisition costs, affordability and price estimates. Coverage spans all 100 communes and the experience is available in English, French, German, Luxembourgish and Portuguese. We clearly separate official statistics from ChatHome aggregates and publish methodology and limitations.
FOR DEVELOPERS & AI AGENTS — our Streamable HTTP MCP server exposes 12 tools for natural-language and structured property search, listing details and truth/freshness, commune market context, price estimates, affordability, commute times, lease analysis and inquiries. It supports API keys or OAuth 2.1 with PKCE: https://chathome.lu/mcp
TRANSPARENCY — the ranking model is documented end to end: semantic retrieval, hard filters, twelve interpretable scoring functions, signal-aware weighting, diversity guardrails and explanations. Paid placement never affects ranking: https://chathome.lu/whitepapers/chathome-ranking-algorithm.html
COFOUNDER — I am open to meeting a hands-on potential cofounder, especially someone strong in Luxembourg real-estate partnerships, growth, product or marketplace operations. If the mission resonates, you are very welcome to reach out at hello@chathome.lu or message me here.
We're live on Product Hunt today 🎉 I'll be around all day answering questions — whether you're house-hunting in Luxembourg, curious about how the ranking model works, or building on the MCP server. I'd love to hear what you think an AI housing assistant should get right, and what it should never automate. Genuinely reading every reply.
Love how the search feels like a conversation instead of a filter maze. The way you surface price, neighbourhood and commute context right in the chat makes comparing listings actually enjoyable, which is rare for real estate tools.
@phardinghy4670 Thanks Aron — that's exactly the feeling we were chasing. Filters force you to pre-translate your life into checkboxes; a conversation lets you just say "quiet, near Kirchberg, balcony, sane commute" and get back why each home fits. Curious — when you're comparing listings, which piece of local context (price trend, commute time, neighbourhood) do you reach for first? That's shaping what we surface next.