Channel
@Azhars_ai
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
14subscribers
+3 since we began measuring on 9 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002237218285 |
|---|---|
| Type | Channel |
| Username | @Azhars_ai |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 September 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 3 times, most recently 5 November 2026 |
| On Telegram | t.me/Azhars_ai |
Technology — 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 2 October 2026 and assigned it the closest of 31 fixed categories, at 37% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Oct 2026, 03:07 | 14 | +1 |
| 25 Sept 2026, 05:56 | 13 | +1 |
| 14 Sept 2026, 02:22 | 12 | no change |
| 11 Sept 2026, 16:17 | 12 | +1 |
| 9 Sept 2026, 08:47 | 11 | first reading |
20 posts held, back to 22 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 20 posts for this entry, the most recent from 12 September 2026. An engagement rate over an empty window would be a number about nothing.
42 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 64.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 64.3% | |
| 🤩 | 4 | 9.52% | |
| 💘 | 2 | 4.76% | |
| 😘 | 2 | 4.76% | |
| 🥰 | 2 | 4.76% | |
| 🎉 | 1 | 2.38% | |
| 👀 | 1 | 2.38% | |
| 🔥 | 1 | 2.38% | |
| 😍 | 1 | 2.38% | |
| 🤯 | 1 | 2.38% |
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 20 of the 20 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 July 2026 to 12 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.
Create a photorealistic high-fashion street-style portrait of a stylish young man standing confidently beside a classic vintage luxury sedan on a city street. He is wearing a sophisticated cream/beige double-breasted suit with a relaxed oversized tailored fit, wide-leg pleated trousers, a crisp white dress shirt, and a vintage beige plaid tie. Add brown leather dress shoes and sleek black rectangular sunglasses. He …
❤2🤯1
Photo, posted without a caption
❤1🤩1
Create a cinematic, ultra-realistic luxury lifestyle fashion portrait inspired by the reference image. A sophisticated young man is seated elegantly at an upscale European-style outdoor café, casually enjoying a cup of coffee. He has neatly styled dark hair, subtle well-groomed facial hair, sharp masculine features, and a calm, confident expression while looking slightly to the side. He is wearing a fitted light pow…
❤2😍1😘1
Photo, posted without a caption
❤1💘1🔥1🤩1
Create a cinematic, ultra-realistic high-fashion editorial portrait inspired by the reference image. A confident young man stands inside a luxurious vintage-style elevator with deep burgundy/red walls, dark reflective mirrors, polished brass handrails, and a dark herringbone-patterned floor. He has naturally curly, slightly messy dark hair, a clean and refined appearance, and wears sleek black rectangular sunglasses…
❤3🤩1
Photo, posted without a caption
❤1
Create a cinematic, ultra-realistic luxury lifestyle portrait of a confident young man standing knee-deep in the ocean during golden-hour sunlight. He has naturally curly, slightly messy dark hair, a neatly groomed light beard, and is wearing stylish black rectangular sunglasses. He is dressed in a relaxed, elegant white linen button-down shirt with the sleeves casually rolled up to the forearms, partially unbuttone…
❤1💘1🥰1
Photo, posted without a caption
❤2
Create a cinematic, ultra-realistic luxury portrait inspired by the reference image. A confident young man stands in the foreground with his arms crossed, wearing a long dark navy-blue suede/shearling coat with a cream-colored fur collar, a clean white shirt, elegant cream trousers, tan suede Chelsea boots, and stylish dark sunglasses. Keep his facial features, hairstyle, beard, body proportions, and overall appearan…
❤2
Photo, posted without a caption
❤1😘1
Create a cinematic black-and-white luxury automotive portrait based on the reference image. A young man with thick, naturally curly dark hair and a neatly trimmed beard stands confidently in front of a white Land Rover Defender, leaning casually against the front of the vehicle with his arms crossed. He is wearing a clean oversized plain white T-shirt, relaxed-fit light denim jeans, and white sneakers with black deta…
❤1🤩1
Photo, posted without a caption
❤1🎉1
Showing the 12 most recent of 20 posts we hold for @Azhars_ai. 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.
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 5 seed channels' Telegram-generated recommendation lists in total, of which the 4 where it ranks highest are shown above. 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 21 October 2026 — this entry's latest reading, not the date you are reading this.
“Azhar’s_Ai” (@Azhars_ai), 14 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/Azhars_ai.
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.