Registration Link 🖇️ https://bnvxm.com/#/pages/reg/index?invite_code=754127
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Channel
@viishnu_tech
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
11,909subscribers
-1,313 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002190207592 |
|---|---|
| Type | Channel |
| Username | @viishnu_tech |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/viishnu_tech |
Software piracy — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 11 Nov 2026, 22:01 | 11,909 | -26 |
| 9 Nov 2026, 23:18 | 11,935 | -28 |
| 8 Nov 2026, 11:57 | 11,963 | -17 |
| 7 Nov 2026, 08:39 | 11,980 | -13 |
| 6 Nov 2026, 05:21 | 11,993 | -14 |
| 5 Nov 2026, 06:27 | 12,007 | -33 |
| 4 Nov 2026, 09:00 | 12,040 | -14 |
| 3 Nov 2026, 06:49 | 12,054 | -10 |
| 2 Nov 2026, 04:36 | 12,064 | -13 |
| 1 Nov 2026, 04:47 | 12,077 | -32 |
| 31 Oct 2026, 02:37 | 12,109 | -32 |
| 29 Oct 2026, 23:20 | 12,141 | -13 |
| 29 Oct 2026, 01:09 | 12,154 | -21 |
| 27 Oct 2026, 23:47 | 12,175 | -19 |
| 26 Oct 2026, 23:51 | 12,194 | -27 |
| 25 Oct 2026, 20:28 | 12,221 | -5 |
| 24 Oct 2026, 19:56 | 12,226 | -24 |
| 23 Oct 2026, 19:10 | 12,250 | -14 |
| 22 Oct 2026, 21:00 | 12,264 | -15 |
| 21 Oct 2026, 20:55 | 12,279 | first reading |
50 posts held, back to 2 May 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 64 pages 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 50 posts for this entry, the most recent from 3 October 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 11 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.
51 reactions across 22 posts, in 2 distinct kinds. The most used accounts for 98.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 98.0% | |
| 👎 | 1 | 1.96% |
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 22 of the 50 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 2 May 2026 to 3 October 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.
Registration Link 🖇️ https://bnvxm.com/#/pages/reg/index?invite_code=754127
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Video, posted without a caption
VIDEO PROMPT Keep the existing human completely unchanged and stationary throughout the entire video. For the first 1 second, the fairy woman is completely outside the camera frame and must not be visible at all. At exactly around 1 second, she naturally enters the frame from outside, moving gently into the same position and composition shown in the reference image. Her movement should be smooth, graceful, and realis…
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Video, posted without a caption
Video, posted without a caption
Photo, posted without a caption
PHOTO PROMPT Use the reference image as the base scene. Keep the existing human completely unchanged and exactly as he is in the original image — same identity, face, hairstyle, body proportions, clothes, pose, position, hand position, camera angle, framing, lighting, and background. Do not modify, regenerate, reposition, or replace the existing human in any way. Add one beautiful adult fantasy fairy woman naturally …
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Prompt ———1 @video1 is the reference video for the exact visual rhythm, shot sequence, body movements, poses, transitions, reverse-motion moments, camera framing and overall editing style. Use my uploaded photo as the ONLY identity reference for the main male character. Replace the person in the reference video with the person from my uploaded photo. Preserve my face, facial structure, hairstyle, skin tone, body p…
Prompt 2 ———— Use @Video1 as the exact reference video and @Image1 as the exact identity reference for the replacement character. Recreate @Video1 shot-for-shot and frame-for-frame as closely as possible. Do not create a new interpretation of the scene. Replace ONLY the original male character with the person from @Image1. The person must look like the exact real person in @Image1. Preserve the exact facial ident…
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Prompt:-👇 Generate a motion-controlled video using the uploaded image as the character reference and the uploaded video as the style, impression and motion reference. Preserve the character’s exact identity, appearance, and key visual details while accurately replicating the reference video’s motion, style, camera movement, and overall visual dynamics, no voice over. Thanks 🙏
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Tutorial chahiye?
Replace the driver in the reference video with the person from my uploaded reference image. The uploaded person should naturally occupy exactly the same position and posture as the original driver. Keep everything else exactly unchanged: the same car, interior, steering wheel, road, location, background, lighting, camera angle, camera movement, driving motion, timing, reflections, shadows, and overall visual style. T…
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Showing the 12 most recent of 50 posts we hold for @viishnu_tech. 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.
@viishnu_tech edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@viishnu_tech named 2 handles 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“VISHNU TECH” (@viishnu_tech), 11,909 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/viishnu_tech.
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.