Zapyt

How many “recommend” requests we see every week

We find public posts in Threads and Telegram where someone asks who to turn to, and count them by type of business. This is what our searches see in Threads and Telegram, not the whole market. Only the aggregate is shown here: no clients, no authors, no verbatim posts.

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Demand index

Week: 21-27 September 2026, updated 30 September

Travel

22requests in the last full week

Travel: requests per week. The week this page is about is highlighted.
Weekly numbers
Week ofRequests
3-9 August 202618
10-16 August 202628
17-23 August 202632
24-30 August 202643
31 August - 6 September 202626
7-13 September 20267
14-20 September 202615
21-27 September 202622
What people asked

English schools

92requests in the last full week

English schools: requests per week. The week this page is about is highlighted.
Weekly numbers
Week ofRequests
17-23 August 202625
24-30 August 2026107
31 August - 6 September 2026122
7-13 September 202690
14-20 September 2026104
21-27 September 202692
What people asked

Dentistry

There are no numbers for this business for the last full week. A business appears once it has at least 10 requests.

More about this business

Photographers

There are no numbers for this business for the last full week. A business appears once it has at least 10 requests.

More about this business

How we count, and what we do not show

  • A request is a public post in Threads or Telegram where someone asks for a recommendation of a specialist or a company, and our system judged it a request for advice. We count no other sources.
  • These are the requests found by our clients' searches in these lines of business, so this is a sample, not the whole market. We count requests (posts), not unique people.
  • We show a business and its examples for the last full week once it has at least 10 requests. When there are no numbers, we cannot tell why: fewer than 10 requests or data not in yet. The trend chart shows earlier weeks as they were counted.
  • Examples are paraphrased by a model: names and details that could identify the author are removed. An automatic filter then drops anything with an @, a link, an email, a phone number or a mention of a messenger. Intent phrasings are typical phrases a model picks from a sample.
  • A week is a Kyiv week, Monday to Sunday. The data refreshes every Monday for the last full week.
  • The number depends on which searches we run in a line of business, so a change can reflect a change in our searches, not only in demand.

We do not show: authors, handles, links to posts, client names or verbatim texts.

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