A property assistant that lets private landlords manage without an agent
I designed and built a web and mobile platform, now live and in active testing, that lets a private landlord in England manage their own property without an agent, with an AI assistant handling the admin and asking the landlord only when a decision is theirs.
- Sector
- UK private rented sector (self-managing landlords)
- Stack
- TypeScript, NestJS, Postgres, Next.js, Expo, Azure
- Status
- Live, in active testing
This is my newest and main project. It grows out of twelve years running a lettings operation and the estate and lettings CRM that came from it, and my current work builds on it.
The problem
Many landlords with one to a few homes don't want to pay agency fees, but managing alone means keeping track of certificates, rent, repairs, tenant messages and rules that keep changing. Most miss something.
From twelve years in lettings, and from building the CRM an agency runs on, I knew exactly which tasks fill a landlord's week and which ones carry real risk. This platform turns that agency-side knowledge round and puts it in the landlord's hands.
What I did
I designed and built the whole system: a web app, a mobile app, and separate portals for tenants and for contractors and other helpers, all working on one shared property record. The assistant reads documents, tracks dates, chases tenants and trades, and drafts adverts.
I wrote hard limits into it. It never spends the landlord's money, signs or commits them without a yes. Decisions such as choosing a tenant or setting the rent stay with the landlord. The platform never holds rent or deposits.
It's white-label, so more than one brand can run on it, and each public page is built for search and AI assistants from day one: sitemaps, structured data and an llms.txt file.
Tools and stack, in plain words
A TypeScript codebase: a NestJS API on Postgres, a Next.js web app and an Expo mobile app, deployed to Microsoft Azure with automatic builds on every change.
Outcome
The platform is live and in active testing under its own brand, and is being extended in regular releases. Landlords and tenants use it free; providers pay when they win work through it.
What it shows about how I work
I put the rules in the code, where they can't be skipped. When software acts for someone, the lines it won't cross matter as much as what it does.
It also shows how my work builds. The operation taught me the problems, the CRM taught me the data, and this platform brings both to the people who own the homes.
FAQ
Can a landlord in England manage a rental without a letting agent?
Many do. Him Yip built a platform for exactly that: an AI assistant keeps the paperwork, dates, repairs and tenant messages in order, and the landlord makes the decisions that are theirs to make.
Does the assistant make decisions for the landlord?
No. It drafts, reminds and chases, but choosing a tenant, setting rent, signing and spending money always need the landlord's own yes, and every decision is recorded.