TELEGRAM BOT · RELOCATION · LAUNCHING SEPTEMBER 2026
Where's My Home?
A bot that works through a long questionnaire to pick a country, city and neighbourhood to move to.
Launching in September 2026
Why
We decided to relocate, and it turned out the whole world was in front of us: plenty of countries are open, but each has its own visas, its own income requirements, its own climate and its own customs. I started working out where we could realistically move. «Where's My Home?» grew out of that research — the same question faces everyone who is about to leave, and everyone solves it again from scratch, by hand.
How I did it
The scoring is done by an engine, not a language model: 72 parameters, each with its own source and the date its data was checked. So the answer does not change from one run to the next — where a model answers differently every time — and it can be taken apart: you can see how much each factor contributed.
Timeline
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MARCH — APRIL 2026
We finally decided to look for a home outside Russia. That is when the question that gave the project its name came up.
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THEN
It became clear that numbers were needed and that a model's advice was not enough. What was needed was an algorithm that shifts its answer to match a particular person.
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LONGEST OF ALL
The data: finding over seventy parameters in open sources and bringing them into one shape. Plus tuning the weights, so that a country does not jump ahead on something this person does not care about.
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SEPTEMBER 2026
Launching in September 2026
Landing screens
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What I decided
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We are not selling a list of cities
Lists of «the ten best countries» know nothing about your passport, your income, or who is travelling with you. The raw data is free and available to everybody. What people pay for is the anxiety lifted before a big decision, and the trade-offs laid out honestly.
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An engine, not a language model
People choose where to move once in a lifetime, and an invented answer costs more here than a boring one. So the ranking is computed with TOPSIS, a formal multi-criteria method. A language model in that slot would answer differently every time.
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The main competitor is ChatGPT
Not Nomad List, not relocation agencies: on price we compete with free manual research. Which means we have to win on reproducibility, on sources, and on the questionnaire remembering the person. Nobody is impressed by volume of data.
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The neighbourhood
You have picked the city — but where inside it do you live? Daily life is decided by the neighbourhood, so there is a separate layer for it. The matching takes your usual way of living into account: sport, restaurants, wanting a walk in a park. Neither catalogues nor agencies have this.
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A model for a rare purchase
A subscription to something you need twice in a lifetime does not work. So the free bot gives reach and a lead, and the money comes from a one-off report.
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Accuracy grows with every questionnaire
The more completed questionnaires and feedback there are, the better the matching gets. That advantage accumulates over time, and a new player simply does not have it.