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What changed

You used to have to be worth looking up.

Finding out where someone lives used to take a person hours. Somebody had to decide you were worth those hours. That is the part that just stopped being true.


What already happened

A reporter asked a chatbot for a professor’s home address.

It refused. Then — in the same reply — it offered to try a different way. That route produced his home address, what he had paid for the house, and his wife’s name. It read them off public property records.

That was MIT Technology Review, in May. The professor had done nothing wrong and nothing unusual. The information was simply sitting there, published, waiting for something to be asked the right way.


And the cost of doing it at scale

59¢

What it cost researchers to build a complete profile of one person, in about 30 seconds. Measured, not projected.

You do not have to take any of this on faith. The information an AI would start from is already published about you, on sites anyone can read, and seeing your own takes about 15 seconds. Show me what is published about me →

Free. No card, no account. You get the actual pages with your details on them — and then the rest of this page, if you still want it.


What the researchers actually did

A team of computer scientists built a system out of four AI agents and pointed it at ordinary people’s public posts — the things anyone can read without logging in. Then they measured how well it did. The paper was accepted to one of the field’s main conferences. Every number below is theirs, and every one is linked at the bottom of this page so you can check it yourself.

120 times

faster than a person doing the same research by hand

92%

of the time it correctly worked out who someone was

95.4%

of the time it correctly guessed what they did for a living

86

separate facts it pulled about one person, from public posts alone

Four facts were enough to put a name to a stranger.

The part worth sitting with is not any single number. It is what the researchers did with them. They took a handful of details the system had guessed about an anonymous account — not confirmed, guessed — and matched them against a professional network. Four was enough to identify one person uniquely.

In their own words, the risk is that “PII can be linked to external sources to de-anonymize users, while SPI poses risks such as doxing and cyberbullying.”

Nothing about that requires a criminal to be clever, or funded, or interested in you specifically. It requires 59 cents.

Before you carry those numbers any further

Half of that is the machine guessing, and we cannot help with that half.

Every accuracy figure above came from a system reading what people had already written in public and working out the rest — their job, their age, where they were born. Nobody takes that ability away from a model. Not us, not any removal company, not anyone, and this page is not going to imply otherwise.

The other half is the one this page has been circling. The researchers only got a real name at the end of it, and they got it by matching their guesses against something already published — a profile sitting on a site anyone could read. The chatbot in May did not guess the professor’s address either. It read it off a property record.

Published is the half a removal request can even reach. It is the only half we work on. The rest of this page is about who does the publishing, and what we do about them.


Why this lands on you and not on a celebrity

Old-fashioned looking-up had a filter built into it: cost. Somebody had to want it enough to spend an afternoon. That filter is what kept most people safe, and most people did not realise that was the only thing keeping them safe.

When the cost of profiling one person falls to pocket change, it stops being something done to a target and starts being something done to a list. You do not have to be interesting. You only have to be findable.

And what makes you findable is not your posts. It is the 582 companies that collect and sell your personal information — the ones on our list, the ones we write to on your behalf. Between them they publish exactly the details these systems are built to stitch together: your address, your phone number, your relatives’ names, your previous streets. That part is not new. What is new is how cheap it became to assemble.


Being straight with you

What we can do, and what nobody can.

There are two AI problems here. We fix one of them.

An AI can look up what is published about you — the listings, the records, the sites that sell your address. That is the one we work on, and taking those listings down makes there be less to find. An AI can also guess things you never published, from the way you write. Nothing we remove changes that, and we are not going to pretend otherwise.

Nobody can un-leak data.

If your details were in a breach, they are copied, traded and archived. No company on earth can pull that back, and any company that tells you otherwise is lying to you. We will not pretend the leak can be undone.

What we actually do is file.

We act as your authorized agent and send legal removal requests to the data-broker and people-search companies that list you. When one of them puts you back — and they do, because rebuilding profiles is their business — we file again.

We guarantee our filing, not their compliance.

We control whether the request goes out. We do not control whether a company obeys it, and we will never promise you that they will. Our refund policy governs, and it says the same thing in writing.

We say this here, on the page designed to alarm you, because it is the only honest place to say it — and because a company willing to tell you what it cannot do is the only kind worth believing about what it can.


Here is exactly what happens next.

The scan is free, takes about 15 seconds, and needs no card. It shows you the real listings with your details on them — not an estimate, not a score.

If you decide you want us to act, this is the whole of it, in order:

  1. We become your authorized agent, in writing, under California Civil Code §1798.135(c) and the equivalent laws in other states.
  2. We send removal requests to the look-up companies that list you. The first batch goes out the same day.
  3. Those companies have up to 45 days to comply. Most do. Some are slow, and a few refuse — we show you which, by name.
  4. They rebuild their listings every couple of months. So we check again, and file again, for as long as you are with us.

Run my free scan →

No card. No account needed to see your results.

Sources

Check any of it.

We would rather you did. Every figure on this page is linked to the paper or the agency it came from.

A note on what this research does and does not show. It demonstrates a capability — researchers built this system and measured it. It is not evidence that anyone is running it against you personally today, and we are not going to tell you that it is. What it establishes is the cost, and the cost is the whole point: this is now cheap enough that it does not need a reason.