Channel
@aush254
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
462subscribers
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001678116978 |
|---|---|
| Type | Channel |
| Username | @aush254 |
| Description | Mobile Tips s Trick Problem DM = https://t.me/Ayushbeniwaal |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 1 |
| On Telegram | t.me/aush254 |
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 02:22 | 462 | first reading |
20 posts held, back to 25 September 2025 — 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.
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.
| Window | Rolling 30 days · latest post in window 11 September 2026 |
|---|---|
| Posts held | 20 (25 September 2025 – 11 September 2026) |
| Views total | 178 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Sept 2026, 02:22 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.
Lifetime counters from Telegram’s own channel header, read 18 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.
4. Transform the person in the uploaded photo into an authentic 1980s look. Keep their face natural and recognizable. Add era-appropriate hairstyle, outfit, vintage setting, warm cinematic lighting, faded colors and realistic film grain. Photorealistic, 9:16.
3. Ultra-realistic, natural skin texture, highly detailed, cinematic composition, professional 1980s magazine photography, vertical 9:16. Do not alter identity or facial structure.
Create a cinematic 1980s atmosphere with warm golden lighting, nostalgic analog film, subtle grain, faded vintage colors, and period-accurate backgrounds with classic cars, posters, cassette players, or other 80s details.
1. Keep face 100% same and Transform the uploaded photo(s) into an authentic 1980s version while keeping every person's face, identity, facial features, and natural likeness clearly recognizable. Give each person a unique era-appropriate 80s hairstyle, fashion, accessories, and pose suited to their gender and appearance. For couples, style both naturally with coordinated but different looks.
Viral prompt 👇👇
File, posted without a caption
Create a beautiful image. A men is 18 years old. Created a hyper-realistic full-body 7K fashion portrait A stylish Indian young man (same as ref) leaning casually on a modern Thar. He wears a loose Cwhite Nike tee, light black track pants & Nike sports shoes, accessorized with blue shades & black watch, radiating cool streetwear vibes.
Photo, posted without a caption
"Creat a realistic ultra-detailed 4K DSLR-style portrait in a cozy indoor café with warm lighting, wooden walls, and plants. A stylish 20-year-old Indian man sits backward on a wooden chair with black leather straps. He has wavy dark brown hair, beard, mustache. Outfit: dark maroon full-sleeve t-shirt, cream joggers, white shoes, silver chain, Apple smartwatch, and black round sunglasses. One arm rests on the chair, …
Photo, posted without a caption
"Royal Enfield Swag: A young man with attractive skin and short curly black hair, wearing a faded pink shirt with rolled sleeves, white dhoti with golden border, white sneakers, watch, chain, and sunglasses. He sits naturally on a Royal Enfield Continental GT 650 in a modern outdoor architectural setting, confident cinematic O pose, holding the dhoti casually. Natural lighting, hyper-detailed, premium classy look, 9:…
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @aush254. 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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Ayush Research Tech” (@aush254), 462 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/aush254.
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.