Channel
@fit_with_love
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Telegram's recommendations · Cite this entry
881subscribers
-9 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001615583208 |
|---|---|
| Type | Channel |
| Username | @fit_with_love |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/fit_with_love |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 04:17 | 881 | -2 |
| 10 Sept 2026, 05:39 | 883 | -5 |
| 31 Aug 2026, 20:34 | 888 | -1 |
| 24 Aug 2026, 04:24 | 889 | -1 |
| 22 Aug 2026, 17:00 | 890 | no change |
| 22 Aug 2026, 16:45 | 890 | first reading |
16 posts held, back to 25 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 16 posts for this entry, the most recent from 22 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
93 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 67.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 63 | 67.7% | |
| 🔥 | 13 | 14.0% | |
| 😁 | 9 | 9.68% | |
| 👏 | 4 | 4.30% | |
| 👍 | 2 | 2.15% | |
| 🤣 | 2 | 2.15% |
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 16 of the 16 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 93 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 25 July 2026 to 22 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.
Сейчас в отпуске, который уже заканчивается, поэтому упражнения не выставляю. Зато приготовила вкусные кабачковые вафли с обезжиренным творогом 🧇 Кабачковые вафли 🧇: На 100г продукта 🧇: К 98Кк, Б 9г, Ж 3,3г, У 6,7г (Без учеба масла для жарки). Ингредиенты: 150г тертого кабачка; Пол пачки обезжиренного творога; 2 ст.л. муки Тщательно перемешиваем все ингредиенты. Смазываем форму маслом и обжариваем до золотистого…
❤2
Вкусный салат с морепродуктами с заправкой из низкокалорийного майонеза Морской коктейль, листья салата, вареное яйцо, огурец и консервированная кукуруза. Солим, перчим, смешиваем майонез (низкокалорийный) с чесноком. Приподачи посыпаем тертым пармезаном. #рецепты
❤3
Упражнение «Наездница»- отлично укрепляет квадрицепсы и делает их очень выносливыми. #квадрицепс
❤7
Ай-да ко мне на тренировку в @grant_hotel_kamensk
😁8
Я обожаю майонезные салаты, но почти никогда их не ем из-за калорийности 🥲 Наконец-то купила себе низкокалорийный майонез, в нем 0,5г жира, 0,5г углеводов и 0,3г белков
👍2
Мама передала кабачки, сразу вспомнились эти мемы 😁
🤣2😁1
Рыба в шпинатном соусе с картофельным пюре 💚 Я обожаю сочетание шпината и сливок😍 Подождет любая рыба, у меня камбала, я ее о жарила в отдельной сковороде. Отдельно приготовила картофельное пюре. В небольшом количестве масла (1 ч.л.) обжарила шпинат до мягкости, убрала огонь на минимум и влила сливки, плюс септику крахмала для загустения. Тушила на маленьком огне 5 минут, не доводя до кипения. Взбила в блендере слив…
❤6
Работа с тенью 🌀 Сейчас работаю с тенью по данной практической тетради. Это очень глубокая аналитическая работа. Карл Юнг говорил: «Каждый человек носит в себе тень, и чем меньше она воплощена в сознательной жизни индивидуума, тем она плотнее и чернее». Тень- это тот, кем мы не хотим быть, все что мы спрятали от общества и даже от самих себя как социально неприемлемое. Но это 90% нашего скрытого потенциала и богат…
🔥6
Наконец-то я приготовила этот шпинатный овсяноблин 🙌🌮 75 мл молока; 20 г овсяной муки; 15 г шпината; 1 яйцо; Соль; В злить все ингредиенты в блендере, обжарить с двух сторон #рецепты
❤3
Мой ежедневный рацион на 10 дней 1500кк, на 11-й день- читмил. Я придерживаюсь принципов монодиеты, то есть мой рацион состоит плюс-минус из один и тех же блюд. Слишком разнообразный рацион на диете не позволяет точно отследить питание, поэтому я ем относительно одно и тоже. ☕️ Завтрак: кофе, капучино, хлебец с арахисовой пастой и творог 100г с низкокалорийные топпингом; 🍵 Обед: коллагеновый высокобелковый суп с ку…
❤8
Перфекционизм 😵💫 Очень часто я слышала как люди с гордостью говорят: «Я-перфекционист!», не понимая , что это скорее не причина для гордости, а причина для обращения к психологу за помощью. Особенно перфекционизм мешает в начале пути, когда ожидания человека весьма раздуты. Именно перфекционисты не могут вытерпеть роль новичка, неофита. Поэтому противоположность перфекционисту- это Архитипичный Дурак или Шут, нуле…
❤7
Photo, posted without a caption
❤4
Showing the 12 most recent of 16 posts we hold for @fit_with_love. 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.
@fit_with_love named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“fit_with_love♥️” (@fit_with_love), 881 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/fit_with_love.
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.