18 July 2026 · 4 min read · by Victor Rahman, founder of BuyerLens

Why I built BuyerLens: property research that shows its sources

When I started researching my own next investment purchase, the problem wasn't a lack of data. Australia has plenty. The problem was that every tool handed me a score without showing where the number came from — and every spreadsheet I built to check the working went stale within a month.

I wanted two things I couldn't find together: numbers with their sources attached, and a process that stayed current as the rules changed. So I built BuyerLens. This is what it does, what it deliberately doesn't do, and the parts I'd want a sceptical reader to know before trusting it.

Research software, not a recommendation engine

BuyerLens is research and education software for self-directed investors. Three things sit at its core:

A budget screen that uses real constraints. It sizes what you can actually buy from your deposit and borrowing power — after real state stamp duty, a maximum-LVR cap and a cash reserve. Not the fantasy figure you get when a calculator quietly assumes a 99% loan.
Thirteen supply-and-demand signals, each with its source shown. Vacancy, days on market, vendor discounting, long-term growth, building approvals and more — scored only where the evidence actually exists, with the provider named next to the figure.
Recent sold prices and a Research Coach that's across the May 2026 negative-gearing and CGT changes, so the tax side of a discussion reflects the current law rather than last year's.

What it deliberately does not do

Two boundaries matter, and I'd rather state them plainly than let anyone assume otherwise:

It never tells you to "buy this." It surfaces evidence and scores candidates against your filters. The decision is yours.
It never touches representation. No inspections, no negotiating, no bidding, no acting on your behalf. That's human work, and a licensed buyer's agent is the right person for it. BuyerLens is the research half — the evidence and the process — not a substitute for representation.

The uncomfortable parts

Good research tools should be checkable, so our methodology and Trust Centre are published openly — including the limitations. A few worth naming here:

Some signals refresh quarterly, not daily. Where that's true, the app says so rather than implying live precision it doesn't have.
Suburbs come with a confidence level. A "Medium confidence" suburb is one with thin recent transaction volume — the numbers are directional, not gospel, and you're told that up front.
Past growth is an outcome, not a prediction. We rank on evidence and require several independent signals to agree before a suburb looks strong; no single hero metric qualifies anything.

I think being open about what a tool can't do is what earns trust in the parts where it can.

Try the free tools first. The borrowing power calculator and deal calculator need no signup — the same budget logic the suburb screen uses, free to check for yourself.

Where to look next

If the approach makes sense, the methodology page explains each of the 13 signals and how they're scored, and the Trust Centre covers data sources, update timing and the division between research software and professional representation. And if you spot something in the methodology you disagree with, I'd genuinely like to hear it — the unflattering feedback is how this gets better.

Victor Rahman is the founder of BuyerLens. After being quoted $24,000 by a buyer’s agent, he spent a year building a self-service research and education platform for Australian property investors.

This article is general information only — not financial, credit, legal or tax advice — and doesn't consider your circumstances. BuyerLens is a self-service research and education platform, not a licensed buyer's agent or financial adviser. Confirm significant decisions with licensed professionals.