Homertunity: I catch the deals the market hides

The context

I needed to find properties to buy that were genuine opportunities. The problem is time: properties that are truly underpriced stay on the listing platforms for only a few hours to a few days. Within the huge volume of data uploaded every day, it is almost impossible to spot and catch them by hand.

The challenge

Two enemies at once: volume and speed. Thousands of listings, and the good ones vanish within hours. And as if that were not enough, most listings that “show” a high yield are traps: auctions, empty shells, fractional co-ownership. The goal was to separate the real opportunity from the noise, fast, at scale, with measured criteria rather than gut feel.

The solution

I designed and built Homertunity: a system that orchestrates Artificial Intelligence to read every listing in a city at a speed impossible for a human and apply the checks I have programmed. So a whole market is scanned automatically within minutes, and only the 2-3 properties that are genuinely worth attention, and possibly my capital, reach me.

Without revealing the mechanism, its shape shows serious work, not off-hand prompting:

• A net-after-tax yield model: the only number worth comparing, because gross yield misleads. It is always measured against the market’s own median, not against an impression.
• Trap filters: anything showing an unusually high yield is flagged and checked; auctions, shells and fractional co-ownership are excluded.
• Automatic market scanning: reading every listing despite the platforms’ blocks, with per-area price references.
• Negotiation maths: the rent-to-price equivalence and a target price derived from the area’s percentiles, so bargaining rests on numbers.

(The exact yield formula, the coefficients, the scanning method and the filters remain my own know-how.)

The results

• A whole city is scanned automatically in minutes: thousands of listings read, and dozens of properties singled out and evaluated one by one.
• In the end only 2-3 properties reach me, the ones worth time and capital. The rest of the noise is cut.
• The “apparent bargains” are exposed: of the listings with the highest apparent yield, none passed, all were auctions or shells.
• Investment properties were actually bought this way.

What this means for you

It is the same principle as everything I build: Artificial Intelligence reads and measures at scale, the human decides. Homertunity shows how a flood of data becomes a short, ranked list of only what truly matters, based on measured criteria rather than impressions. This is the kind of decision-support system I can design and implement for your organisation, in real estate or in any field that is drowning in data.