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Telegram profile photo for 💪🏻 bodybuilding&fitness photo 💪🏻

Channel

💪🏻 bodybuilding&fitness photo 💪🏻

@bodybuildingfitnessphoto

On this record: Topic · Growth · Engagement · Posts · Cite this entry

775subscribers

-8 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001003618953
TypeChannel
Username@bodybuildingfitnessphoto
CreatedBetween 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/bodybuildingfitnessphoto

Topic

Other / unclassifiable — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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

774783778.55 August 2026 — 783 subscribers6 August 2026 — 782 subscribers6 August 2026 — 782 subscribers14 August 2026 — 778 subscribers21 August 2026 — 779 subscribers5 September 2026 — 775 subscribers13 September 2026 — 774 subscribers26 September 2026 — 775 subscribers7755 August 202626 September 2026
8 measurements spanning 52 days, net -8. 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 773–784 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 09:00775+1
13 Sept 2026, 13:59774-1
5 Sept 2026, 08:36775-4
21 Aug 2026, 07:28779+1
14 Aug 2026, 14:34778-4
6 Aug 2026, 15:35782no change
6 Aug 2026, 09:01782-1
5 Aug 2026, 17:15783first reading

Engagement

20 posts held, back to 27 April 2019 — 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 20 posts for this entry, the most recent from 23 October 2021. An engagement rate over an empty window would be a number about nothing.

Recent posts

23 Oct 2021, 08:59 UTCviews —

The account of the user that owns this channel has been inactive for the last 11 months. If it remains inactive in the next 9 days, that account will self-destruct and this channel may no longer have an owner.

14 Oct 2021, 22:36 UTCviews —

The account of the user that owns this channel has been inactive for the last 11 months. If it remains inactive in the next 17 days, that account will self-destruct and this channel will no longer have an owner.

2 Oct 2021, 17:41 UTCviews —

The account of the user that owns this channel has been inactive for the last 11 months. If it remains inactive in the next 30 days, that account will self-destruct and this channel will no longer have an owner.

22 Aug 2020, 10:08 UTC≈4,820 viewsread 6 August 2026
Photo

چرا تمرینات با وزنه باعث می شود چربی بیشتری بسوزانید؟ تمرینات هوازی در مقایسه با تمرینات با وزنه به شما کمک می کند تا کالری بیشتری را در طی دوره های تمرینی با شدت متوسط تا شدت بالا بسوزانید . اما تأثیر تمرینات با وزنه برای سوزاندن کالری بعد از تمرین بیشتر است. تمرینات با وزنه ظرفیت متابولیک شما را افزایش خواهد داد و شما را قادر می سازد بطور طبیعی کالری بیشتری را بسوزانید. علت این امر اثر متابولیک تمرینات با وزنه …

29 Sept 2019, 06:54 UTC≈5,450 viewsread 6 August 2026

با شکم پر به رختخواب نروید از يك غذاي متوسط ۶۷ كالري در ساعت در طول خواب سوزانده مي شود. بنابراين، اگر شما حدود ۸ ساعت بخوابيد، سعي كنيد قبل از خوابيدن حدود ۵۳۶ كالري را مصرف كنيد join channel 👇 ⚜ @bodybuildingfitnessphoto

29 Sept 2019, 06:53 UTC≈4,270 viewsread 6 August 2026

🅾عادت های غذایی مفید 1⃣چربی نخوریم 2⃣شیرینی کم بخوریم 3⃣میوه زیادبخوریم 4⃣نوشابه نخوریم 5⃣با روغن زیتون آشپزی کنیم 6⃣سیروپیاز بخوریم 7⃣آب بین غذا نخوریم join channel 👇 ⚜ @bodybuildingfitnessphoto

20 Jul 2019, 10:54 UTC≈5,070 viewsread 6 August 2026
Photo

🔴اولین بدنساز جهان پدر بدنسازی مدرن و فردی که مدلینگ بدنسازی را معروف کرد مرد آلمانی بنام Eugen Sandow بود. وی در اواخر قرن 19 با انتشار تصاویری از بدنش پدر بدنسازی مدرن نام گرفت. join channel 👇 ⚜ @bodybuildingfitnessphoto

20 Jul 2019, 10:53 UTC≈4,910 viewsread 6 August 2026
Photo

🔴قدیما ۱۸۰ میزدن الان به درجه ای از عرفان رسیدن که دیگه راحت ۲۵۰ درجه میزنن . به زودی منتظر ۳۶۰ درجه هستیم😂 😍مرسی انعطاف join channel 👇 ⚜ @bodybuildingfitnessphoto

Showing the 12 most recent of 20 posts we hold for @bodybuildingfitnessphoto. 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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“💪🏻 bodybuilding&fitness photo 💪🏻” (@bodybuildingfitnessphoto), 775 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/bodybuildingfitnessphoto.

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.