The AI housing discovery engine
for Gen Z students.
Sublease marketplace + apartment search, finally AI-native.
Sublet to a verified student,
on a real agreement.
Summer internship, study abroad, early graduation — a sublease always comes down to trust and paperwork. The app handles both.
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AI-drafted sublease agreement. Describe your terms in plain words; the app writes a clean, state-aware agreement in about a minute.
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Signed in the app. Both sides e-sign on their phone — no printing, no PDFs passed around over text.
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University verification. Students confirm their campus with a .edu email or student ID, so you know who you are renting to.
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Built-in chat. Ask about the room, agree on dates, keep the whole thread in one place.
AI-native
apartment search.
Old apartment sites make you do the work: twenty open tabs, rigid filter menus, stale prices — and you still end up asking every building the same questions. Here, you ask once. The agent does the searching.
If I want to rent a 1B, can you compare the average monthly rent across all Bay Area regions?
Across the 29 Bay Area regions we index, 1-bedroom medians run $2,408 – $5,057:
Every number is a live median from buildings we index — the map is drawn by the agent, to scale.
Re-drawn from a real session on the live index — one question, 29 regions, 596 buildings.
One question in.
A researched answer out.
The agent runs on an index we build and refresh ourselves — every answer is grounded in it.
Five metros indexed.
The Bay just went live.
Every building is read from the operator's own site and refreshed on a cadence, so you see the latest advertised price we found — not a stale copy of a copy.
The same engine, pointed at your leasing workflow.
Students talk to one agent. We are building it to work agent-to-agent with the systems a property manager already runs — grounded in your inventory, your SOPs and your PMS, not a generic chatbot bolted onto a website. Here is the workflow we're building toward: