Channel
@neurovsl
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
127subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002737597758 |
|---|---|
| Type | Channel |
| Username | @neurovsl |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/neurovsl |
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 26 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 |
|---|---|---|
| 12 Oct 2026, 16:56 | 127 | -1 |
| 2 Oct 2026, 06:21 | 128 | -1 |
| 18 Sept 2026, 09:56 | 129 | -1 |
| 10 Sept 2026, 00:20 | 130 | +1 |
| 15 Aug 2026, 01:22 | 129 | -1 |
| 9 Aug 2026, 01:16 | 130 | no change |
| 7 Aug 2026, 16:32 | 130 | first reading |
16 posts held, back to 11 June 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 16 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 13 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.
104 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 52 | 50.0% | |
| 🔥 | 29 | 27.9% | |
| ❤ | 8 | 7.69% | |
| 😁 | 6 | 5.77% | |
| 🥰 | 4 | 3.85% | |
| 😍 | 3 | 2.88% | |
| 👏 | 2 | 1.92% |
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 16 of the 16 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 104 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 11 June 2026 to 8 August 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.
0–3s: The woman walks energetically across the sunny beach carrying the enormous watermelon from the reference image. She smiles, then suddenly swings the watermelon forward and throws it onto an open patch of sand. The camera quickly follows the movement.3–6s: The huge watermelon hits the sand and bounces once. On the second impact, instead of breaking, it instantly expands and transforms into a gigantic round swimm…
🔥3👍1
Один промпт — разные нейросети. Референсное изображение. Use the reference image as the exact identity and style reference. Preserve the woman’s face, glitter rainbow sunglasses, neon makeup, blue floral body art, colorful textured hair, and the vivid psychedelic neon color palette. 0–2s: Start with an extreme close-up matching the reference image. She looks calm, stylish, and confident. She slowly blinks, slightly …
👍3❤2
A photorealistic cinematic princess stands gracefully in a magnificent medieval royal palace, matching the reference image exactly. Keep her face, hairstyle, tiara, jewelry, golden embroidered gown, body proportions and palace environment consistent throughout the entire video.0–2s: She stands elegantly and calmly in the grand hall, making subtle graceful princess-like movements: a soft turn of the head, a delicate s…
🔥8👍1
Весной всё начинается очень мило. Посадила кабачок, поливаешь, радуешься первому цветочку, ждёшь урожай. Потом появляется первый кабачок, потом второй… Потом ты на пару дней отвлеклась — и всё, у тебя уже не огород, а кабачковое производство 🌸 Начинаешь раздавать их всем подряд, искать новые рецепты — оладьи, запеканки, супы… А они всё растут… И очень быстро наступает тот момент, когда вопрос уже не «что приготовит…
🔥6👍3
A striking close-up portrait of a woman covered in luminous neon body paint and intricate botanical tattoo art. Delicate flowers, curling leaves, butterflies and psychedelic ornamental patterns flow organically across her face, neck and shoulders, following the natural contours of her skin. She wears oversized rainbow-mirrored sunglasses with thick frames encrusted in multicolored glitter and tiny reflective crystals…
👍5😍3
Kling 3.0 Scene:One continuous 15-second clay-sculpting time-lapse. Start from the Start Frame and end exactly on the End Frame. Keep the same table, background, warm light, frontal angle, position, scale, and composition. The gray clay becomes the curled sleeping fox.Action:0–3s: Hands press, pinch, fold, and pull the single clay block into a compact curled body. Its volume stays consistent.3–6s: Hands form the cent…
👍3🥰3❤2
Самая большая дачная иллюзия — что однажды ты купишь участок, построишь дом и наконец-то будешь спокойно отдыхать на природе. Пока только мечтаешь, представляешь бассейн, шашлык и долгие вечера на качелях… А потом мечта сбывается — и ты внезапно устраиваешься туда на вторую работу. Без выходных. Без отпуска. Но с щедрой премией кабачками 😂 Дачники, узнаёте себя? 🍅 Подписывайся, чтобы не пропустить свежие визуалы …
👍7👏1🔥1
Vertical 9:16, 15-second photorealistic live-action cinematic western at golden hour. One continuous forward-moving action. Preserve clear spatial continuity throughout the entire shot.IMPORTANT SPATIAL RULE:The horse begins on the LEFT side of the canyon and gallops continuously from LEFT TO RIGHT. A deep, clearly visible canyon gap separates the takeoff cliff on the left from the landing cliff on the right. The hor…
🔥6👍1
Kling Motion Control 3.0 💙Подписывайся, чтобы не пропустить свежие визуалы → Визуал нейросетей
👍5
A beautiful animated scrapbook memory poster created from a collection of romantic photo memories. Warm cinematic golden-hour lighting, vintage beige paper texture, layered photographs attached with tape, hand-drawn doodles and travel sketches.The main European couple in the center slowly comes to life. They smile warmly, blink naturally, breathe softly, make subtle eye movements and gently lean closer toward each ot…
👍5❤1
Create a highly detailed Pixar-style 3D scrapbook memory poster using the uploaded photos as the exact face references for the couple. Preserve facial identity, eye shape, smile, hairstyle, and overall likeness with high accuracy. In the center of the composition, a charming European couple sits closely together, smiling warmly at the viewer. Around them are numerous miniature chibi versions of themselves acting out…
❤3👍1👏1
A hilarious animated movie scene featuring two cartoon characters in a vibrant modern city park. A chubby orange cat wearing a blue baseball cap is chasing a mischievous raccoon in bright red sneakers. The raccoon has just stolen an enormous pink frosted donut covered with colorful sprinkles and is running away with a huge grin.The chase is full of chaotic comedy. The raccoon jumps over park benches, slides along met…
😁3👍1
Showing the 12 most recent of 16 posts we hold for @neurovsl. 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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“Визуал нейросетей” (@neurovsl), 127 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/neurovsl.
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.