Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 80% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
30 measurements spanning 34 days, net -3,902. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 102,220–107,292 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
8 Sept 2026, 19:00
102,805
-382
5 Sept 2026, 12:38
103,187
-211
3 Sept 2026, 17:41
103,398
-131
2 Sept 2026, 10:34
103,529
-120
1 Sept 2026, 14:06
103,649
-129
31 Aug 2026, 11:55
103,778
-126
30 Aug 2026, 10:29
103,904
-125
29 Aug 2026, 09:15
104,029
-132
28 Aug 2026, 05:42
104,161
-133
27 Aug 2026, 05:12
104,294
-127
26 Aug 2026, 01:36
104,421
-87
25 Aug 2026, 02:12
104,508
-172
23 Aug 2026, 14:17
104,680
-192
22 Aug 2026, 00:57
104,872
-106
20 Aug 2026, 20:17
104,978
-134
19 Aug 2026, 19:12
105,112
-88
18 Aug 2026, 18:56
105,200
-116
17 Aug 2026, 19:58
105,316
-126
16 Aug 2026, 17:16
105,442
-209
14 Aug 2026, 23:14
105,651
first reading
Engagement
12 posts held, back to 2 March 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.295%
avg views ÷ 102,805 subscribers
Avg views / post
303
1 post measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
1
of 12 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 September 2026
Posts held
12 (2 March 2026 – 10 September 2026)
Views total
303
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Sept 2026, 05:40 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
346
Videos
7
Links
272
Lifetime counters from Telegram’s own channel header, read 10 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
460 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 39.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
181
39.3%
👍
158
34.3%
🔥
92
20.0%
⚡
18
3.91%
🤩
8
1.74%
🥰
2
0.435%
👌
1
0.217%
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 12 of the 12 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 460 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 2 March 2026 to 10 September 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.
Telegram Stars
Stars received
50
across the posts below
Posts paid on
9
of 12 we hold a reading for · 75%
Most on one post
20
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fil100. 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 12 most recent posts we hold for this entry, published 2 March 2026 to 10 September 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.
Скоро поделюсь итогами лета, а пока вот такой анонс:
Мы запилили и запускаем наконец приложение в котором сразу можно бронировать большинство кортов в Санкт-Петербурге, собирать открытые матчи (со сплит оплатой) и играть в новом для СПБ формате - в лигах.
И начинаем с запуска 8 недельной лиги Korta!
Играем матчи по 1.5ч в течение двух месяцев, бронируем корты через приложение KORTA, записываем счет. Побеждаем! И …
Привет! Меня попросили помочь с продвижением одного продукта для людей, страдающих головной болью и мигренью. Так как я сам знаю про проблему на собственном опыте, не могу пройти мимо. Итак:
NeuroWeather — бесплатное приложение для людей, страдающих головной болью и мигренью.
Оно помогает вести дневник приступов и автоматически сопоставляет их с погодными условиями. Цель проекта — понять, какие факторы действительн…
Тест на ограничения в деньгах
Продолжаем познавательные упражнения с собственной психикой. Сегодня изучаем тему денежных ограничений. У меня вот основные на роду написаны оказались 😂
Итак, промпт для вашего AI:
Проведи со мной глубокий тест на денежные блоки: психологические, поведенческие, родовые, отношенческие, телесные и эзотерические. Сделай текст по блокам ниже и объясни мне результаты так, чтобы стало понят…
Тест на то, что мы ищем в отношениях
Если вы сейчас в поисках любви / партнера или сталкиваетесь с проблемами в отношениях, я хочу посоветовать вам промпт ниже для любого AI, который позволит понять, какая часть проблемы в вас. Это может быть неприятно, но полезно для осознания причин.
🫶🫶🫶
Помоги мне понять мой повторяющийся сценарий в романтических отношениях: какую внутреннюю боль или чувствительную тему я пытаю…
Лила с ChatGPT
Я несколько раз играл в Лилу - кто не знает, это такая игра для самопознания, обычно играется с опытным ведущим (есть аж за 5000 евро за раз ведущие!). Ведущий нужен, чтобы интерпретировать ходы и подсказывать, что нужно осознать на каждой клетке.
В Лилу можно играть условно бесконечно, тк есть клетки, которые скидывают вниз, если что-то еще не проработано до конца.
Оказалось, что можно бесплатно по…
Итоги про счастье
Полгода назад я поставил себе цель разобраться в теме счастья. Пора подвести промежуточные итоги.
1. Я точно не разобрался в этой теме и вряд ли разберусь когда-то. Ощущение счастья очень меняется со временем, оно в целом не универсально - нельзя взять список из 10 пунктов, выполнить его и стать счастливым. Всегда будут ньюансы и более-менее уникальные пункты, которые актуальны именно для тебя. Бо…
Потестите, пожалуйста, небольшой сервис, который мы сделали. В него можно прийти с любой актуальной проблемой и попробовать ее порешать:
www.kompas.mobi
Буду благодарен за любую обратную связь 🙏🙏🙏
ChatVibe
Какое-то время назад я скачал свою переписку с подругой из ТГ, залил ее в ChatGPT и попросил проанализировать. Прочитанное взорвало мне мозг, открылись вообще неочевидные вещи и проблемы. Отношения в итоге не сложились, зато осталась идея сделать такой анализ доступным каждому в пару кликов.
Мы запилили первую версию такого приложения на обеих мобильных платформах, пока анализ очень ограниченный, зато бесп…
Про счастье за март
Еще один месяц прошел, отчитываюсь про свои успехи «в поисках счастья».
Я почитал книгу The Good Life - она давно у меня лежала на полке, пришло время. Книга основана на результатах знаменитого Гарвардского исследования, в котором в течение 80 лет ученые мониторят уровень удовлетворенности жизнью разных людей, а также факторов, которые на нее влияют. Вкратце, результаты показывают, что ничто так…
Я ищу сразу нескольких специалистов. Напишите в бота, если вы такой: https://t.me/Fil100_bot
1. AI - маркетолог, обязательно с кейсами успешного привлечения десятков тысяч пользователей в какой-то продукт через AI контент или AI стратегию 🤖
2. Продакт с опытом и интересом в психологических продуктах 🧠
3. Внезапно: специалист по изданию книг 😇
🫶🫶🫶
Тревожные времена
Последние пару недель меня одолевало фоновое ощущение тревоги: война на Ближнем Востоке, падение рынков, закручивание гаек в РФ, военные на Кипре - все это вместе давит на психику и хочется придумать объяснение, почему все на самом деле нормально и ничего страшного не происходит. Ну или чтобы кто-то сказал, что все будет хорошо.
Я углубился в эти тренды и мое личное мнение такое: ЛУЧШЕ НЕ БУДЕТ. Б…
Что там по счастью
Я месяц назад анонсировал
свою работу по изучению счастья, и эта тема удивительным образом развернулась у меня в феврале.
Я был на ретрите ЕКАМ и в поездке по духовным местам в Египте. Так совпало, что в обоих случаях мы большую часть времени работали над темой внутренних состояний. В двух словах: происходящее в нашей жизни определяется нашим состоянием. Условно, от того, в стрессе мы находимся и…
👍30❤24🔥11
Signed Dmitri Fil
Showing the 12 most recent of 12 posts we hold for @fil100. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 7 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Unlock Crypto | Crypto NEWS @UnlockCryptoCompany · 30,101 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 7 September 2026
Battles | Ru @fanzeebattles · 86,748 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 17 August 2026
Evgeniy Shevchenko CRYPTORUN @cryptorun · 129,427 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 13 August 2026
CryptoHunter 🎓 @chunterblog · 64,126 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 21 August 2026
Gram Community @gramcommunity · 211,182 Telegram ranks this channel #8 of 72 here — alongside 71 others — read 20 August 2026
Maximus Trade 🌕 @MaximusTrade1 · 42,552 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 28 August 2026
Иван Красников Life @myflem · 49,478 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 25 August 2026
Арнольд Криптовалютный @ArnoldCrypto · 32,199 Telegram ranks this channel #11 of 82 here — alongside 81 others — read 5 September 2026
TON News @new_ton_news · 193,522 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 11 August 2026
Common Sense Money (by Tim Tursun) @TimTursunov · 533,041 Telegram ranks this channel #13 of 87 here — alongside 86 others — read 10 August 2026
Not Fans @notforfans · 145,583 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 12 August 2026
TonDreamer @TonDreamerr · 162,650 Telegram ranks this channel #16 of 83 here — alongside 82 others — read 12 August 2026
Cryptorun airdrop @cryptorunio · 58,819 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 22 August 2026
Трейдинг в благости - Игорь Павленко @blagotrading · 72,499 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 19 August 2026
Getgems NFT RU @getgemsrus · 109,013 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 14 August 2026
Newcoin - Возможности крипты @newcoinopss · 131,735 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 13 August 2026
TON Newbie 💎 @TonNewbie · 210,849 Telegram ranks this channel #17 of 86 here — alongside 85 others — read 11 August 2026
Tonologia @tonologia · 129,786 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 13 August 2026
zicelaqo @zicelaqo · 167,263 Telegram ranks this channel #23 of 84 here — alongside 83 others — read 12 August 2026
@notyou @notyou · 47,836 Telegram ranks this channel #24 of 92 here — alongside 91 others — read 26 August 2026
Памп @fuckthesol · 57,177 Telegram ranks this channel #24 of 84 here — alongside 83 others — read 26 August 2026
ДЕЛАЙ ДЕНЬГИ @to_the_makemoney · 61,659 Telegram ranks this channel #24 of 90 here — alongside 89 others — read 21 August 2026
Danya Savin @savin · 68,234 Telegram ranks this channel #24 of 84 here — alongside 83 others — read 21 August 2026
Not a Trader @notatraderrr · 141,164 Telegram ranks this channel #24 of 86 here — alongside 85 others — read 13 August 2026
This channel appears in 50 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Филатов, Дмитрий Владимирович (предприниматель)(ru.wikipedia.org) “…молодым предпринимателям в своем телеграм-канале{{Cite web|url=https://t.me/fil100/721|title=Телеграм-канал Дмитрия Филатова|website=Дмитрий…” read 23 August 2026
Cite this entry
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Филатов Дмитрий” (@fil100), 102,805 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/fil100.
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.