Channel
@prompts_veo3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
21,774subscribers
-237 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001115620661 |
|---|---|
| Type | Channel |
| Username | @prompts_veo3 |
| Created | 1 February 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 15 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 39 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/prompts_veo3 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 25 Oct 2026, 02:27 | 21,774 | -21 |
| 24 Oct 2026, 05:29 | 21,795 | -14 |
| 23 Oct 2026, 02:49 | 21,809 | -19 |
| 22 Oct 2026, 05:31 | 21,828 | -2 |
| 20 Oct 2026, 22:36 | 21,830 | +2 |
| 18 Oct 2026, 19:49 | 21,828 | -15 |
| 17 Oct 2026, 16:47 | 21,843 | -10 |
| 16 Oct 2026, 16:59 | 21,853 | -2 |
| 15 Oct 2026, 13:29 | 21,855 | -5 |
| 14 Oct 2026, 15:41 | 21,860 | -7 |
| 13 Oct 2026, 06:07 | 21,867 | -60 |
| 9 Oct 2026, 00:38 | 21,927 | -109 |
| 4 Oct 2026, 16:56 | 22,036 | +13 |
| 26 Sept 2026, 15:35 | 22,023 | +17 |
| 19 Sept 2026, 16:19 | 22,006 | -4 |
| 17 Sept 2026, 01:21 | 22,010 | +2 |
| 15 Sept 2026, 01:36 | 22,008 | -10 |
| 13 Sept 2026, 10:18 | 22,018 | -1 |
| 11 Sept 2026, 15:18 | 22,019 | +6 |
| 9 Sept 2026, 04:00 | 22,013 | first reading |
24 posts held, back to 4 July 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 49 pages 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. It is computed over the 3 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 October 2026 |
|---|---|
| Posts held | 24 (4 July 2025 – 7 October 2026) |
| Views total | 6,310 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 08:33 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.
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.
346 reactions across 22 posts, in 9 distinct kinds. The most used accounts for 79.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 274 | 79.2% | |
| 👍 | 31 | 8.96% | |
| 🤬 | 13 | 3.76% | |
| 🥰 | 9 | 2.60% | |
| 💩 | 8 | 2.31% | |
| 🔥 | 6 | 1.73% | |
| 😢 | 2 | 0.578% | |
| 🤯 | 2 | 0.578% | |
| 👏 | 1 | 0.289% |
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 24 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 346 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 4 July 2025 to 7 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.
🎬 424 cinematic techniques for AI video creators There's a resource that gathers everything you need to build strong shots in one place: camera movements, angles, composition, lighting, color, transitions, visual styles, and genre techniques. For each technique you'll find: • what it does and why it works • examples to learn from • when it's the right choice and when it isn't • ready-made prompts for generation I…
❤4👍3
Image-to-video, 9:16, 6 seconds, 24fps. The uploaded cafe photo is the locked plate and the first frame. Match it exactly: corrugated metal facade, empty dark sign board, three wooden stools, potted plant, wooden door, warm afternoon sun. Do not move the camera. Do not change the building, windows, interior, stools, plant or door. Action, only the sign: 0.0–0.4s The board is empty and dark. 0.4–4.0s Six yellow 3D me…
❤3👍1
Image-to-video, 9:16, 10 seconds. The uploaded still is the only product. A steel luxury chronograph, white dial, three black subdials, black ceramic bezel, steel Oyster bracelet, on pure black. Keep the watch identical in every shot. No second watch, no hands, no logo text, no watermark. 0–2s Hero shot, watch centered, slow push-in, soft studio highlights on the bracelet. 2–5s Macro of the dial. Chronograph hands s…
video veo 3👆 Cinematic 8K video, Jiuzhaigou Valley Five Flower Lake, Sichuan China, peak autumn morning. Photorealistic, shot on RED Komodo 6K, 24fps. VISUAL: Low angle dolly in from wooden boardwalk. "Jiuzhaigou Valley Five Flower Lake UNESCO World Heritage Site 1992" sign in foreground. Crystal clear turquoise water with submerged ancient logs. Snow-capped Minshan mountains in background. Morning mist, volumetric …
❤1
Photo, posted without a caption
Photo, posted without a caption
❤17👍5🤬2🥰2🔥1
Prompt👆👆👆
❤28💩8🤬4
"scene": "Timelapse in cinematic Transformer-style showing a modern Egyptian house in New Cairo (Tagamoa) building itself brick by brick, as if each part knows exactly where it belongs — assembling in a fast, elegant, semi-magical way until full completion.", "style": "Hyper-realistic, cinematic, modern Egyptian architecture with light sci-fi motion feel", "camera": { "movement": "Static overhead shot during …
❤30🥰4👍3🤬1
{ "scene": "animation", "style": "Ultra-realistic food cinematography, dynamic motion, dramatic lighting, explosive transitions", "product": "Artisan Pizza Explosion, front view", "sequence": [ { "shot": "Dough Reveal", "camera": "start with a centered still frame, then slow push-in", "description": "Begin in total darkness. A sudden burst of orange-red light reveals a glowing ember bed.…
❤32🤬3👍1
Prompts 👇
❤8🥰3
Pixar-style smooth animation, cozy bedroom with sunlight from window, toy shelf in background. Camera dolly-in to white table. A stack of origami papers floats gracefully, each sheet folding mid-air into Avengers heroes: red-gold becomes Iron Man, green shapes into Hulk, blue with star into Captain America, black-red into Black Widow, silver-blue into Thor with paper Mjolnir. Camera pans and tilts smoothly with each …
❤26👍6🤯1
Title: Snoozha Empty Room Assembly Description: A cinematic, photorealistic 4K video in 16:9 aspect ratio. The scene opens in an empty, large, sunlit Japanese room with white walls and light wood floors. A single, fixed, wide-angle camera remains still throughout the 8-second sequence. The timeline follows this sequence: [00:00–00:01] In the center of the room, a sealed Snoopy box sits on the floor. It trembles sli…
❤20
Showing the 12 most recent of 24 posts we hold for @prompts_veo3. 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 10 seed channels' Telegram-generated recommendation lists 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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“Prompts VEO 3 • Kling AI • Runway • Sora• Video” (@prompts_veo3), 21,774 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/prompts_veo3.
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.