Channel
@The_Furtat_Lab
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
404subscribers
+14 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003365026904 |
|---|---|
| Type | Channel |
| Username | @The_Furtat_Lab |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/The_Furtat_Lab |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 07:36 | 404 | +11 |
| 22 Aug 2026, 12:13 | 393 | +3 |
| 7 Aug 2026, 06:06 | 390 | no change |
| 7 Aug 2026, 00:18 | 390 | first reading |
19 posts held, back to 27 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
103 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 53.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 53.4% | |
| 🔥 | 28 | 27.2% | |
| 💯 | 7 | 6.80% | |
| 👍 | 6 | 5.83% | |
| 🤝 | 3 | 2.91% | |
| ✍ | 2 | 1.94% | |
| 👏 | 2 | 1.94% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 15 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 103 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 July 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @The_Furtat_Lab. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 19 most recent posts we hold for this entry, published 27 July 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Программа и бронирование мест тут Еду в качестве спикера и хочу поделиться реальными кейсами - как принимать кадровые решения в кризис, какие варианты помимо «резать» возможны, где могут быть скрытые резервы. И все это с полной математикой и критериями принятия решений.
❤3👍2🔥2
Video, posted without a caption
❤4
Эффект аквариума или как мы обесцениваем свои таланты Полезная формула от обесценивания: Ваша легкость + чужая сложность = ценность и деньги
❤5🔥4
Я чувствую себя Первым каналом, на котором каждый вторник идет интересный сериал и хочется всех позвать и вместе посмотреть:) Продолжаю выпуск видео-практикума по теме: КРИЗИС КАК ТОЧКА РОСТА: на что опираться в условиях неопределенности Сегодня 2 Серия: ЛИДЕР как источник масштаба Ютуб Рутуб Серию 1: НОВАЯ РЕАЛЬНОСТЬ. Чем она отличается от кризиса и что нужно знать, что бы справиться и расти - можно посмотреть …
❤2💯1
«Слишком поздно», «нет способностей», «ничего не получится» и другие голоса страха и облома чтобы ничего не начинать.
Как за 2 минуты посчитать прибыльный ли ваш бизнес или ваши портфельные проекты? Яркий пример того, как экспертам-управленцам превратить свой накопленный ценнейший опыт в полезный продукт! Мои многоуважаемые коллеги из «Навигатора смысла» Елена Масина СЕО и CFO и Ирина Агеева CFO известных компаний, создали простую и понятную экспресс-оценку для собственников и наемных сотрудников, которые хотят понять что происход…
❤3🤝1
Пятница — никаких научных рассуждений о бюджете, просто делимся инструментом. Мы собрали простой калькулятор прибыли, которым можно пользоваться где угодно и когда угодно — особенно если он привязан к вашим данным. Подойдёт и собственникам, и наёмным сотрудникам, которые хотят понять, что вообще происходит с их компанией. Откуда он взялся Работаем с клиентом — по сути стартап. На рынке несколько лет, поднял пару …
👍4🔥2✍1
Звонили из будущего. Сказали, у тебя всё получится. Не останавливайся.
❤8🔥3👏2🤝2
Покупала раков и вспомнила притчу про крабов в ведре, из которого им не сужено выбраться из-за цепляющихся и тянущих обратно сородичей. Классическая мораль очевидна: «Окружение тянет тебя вниз. Будь сильнее, игнорируй хейтеров, верь в себя и лезь наверх!». А что, если проблема не в крабах. И даже не в том, что мы «недостаточно сильно лезем». Проблема в ВЕДРЕ 📌Если ведро - это среда с дефицитом (токсичные коллеги,…
❤5
🔔Друзья, жду завтра всех в 9:30 мск на нашу вдохновляющую «Субботнюю перезагрузку»! Традиционно утром в субботу уже целый месяц вместе делаем короткую, но глубокую практику на восстановление, обретение опор и движение к цели. Даже если это цель - как следует отдохнуть в выходные 😏 Ссылка на ЗУМ появится здесь за 15 минут до начала эфира
❤5
Многие хотят изменить свои результаты. Но не многие готовы изменить свое мышление #понравилось
Фуртат | Лаборатория pinned «Нам уже голову некогда поднять, кризису нет конца и края. Это и есть наша новая реальность. Что делать лидеру? Как это все вывозить самому и помогать команде? Вышел первый урок моего практикума «КРИЗИС КАК ТОЧКА РОСТА: на что опираться в условиях неопределенности».…»
Showing the 12 most recent of 19 posts we hold for @The_Furtat_Lab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Фуртат | Лаборатория” (@The_Furtat_Lab), 404 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/The_Furtat_Lab.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.