Channel
@Presets43
On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry
2,766subscribers
+22 since we began measuring on 10 August 2026
Risers and fallers across the register Β· movement among entries of 1,000β3,162.
| Telegram ID | -1004459946236 |
|---|---|
| Type | Channel |
| Username | @Presets43 |
| Created | Between 1 June 2026 and 1 July 2026β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Presets43 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 20:41 | 2,766 | +22 |
| 10 Aug 2026, 09:00 | 2,744 | no change |
| 10 Aug 2026, 08:47 | 2,744 | first reading |
20 posts held, back to 1 July 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 1 pageof Telegramβs 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 β we hold 20 posts for this entry, the most recent from 1 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
61 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 96.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 59 | 96.7% | |
| β€βπ₯ | 1 | 1.64% | |
| π₯ | 1 | 1.64% |
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 13 of the 20 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 61reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 20 most recent posts we hold, published 1 July 2026 to 1 July 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.
ChatGpt Prompt π½ REALISTIC PORTRAIT OF ME (USING REFERENCE FEATURES) IN A CAR BACKSEAT AT NIGHT. COOL, DIM, SOFT-GLOW CINEMATIC LIGHTING. POSE: HAND DOWN, SHOWING RINGS/BRACELETS. ATTIRE: BLACK BOMBER JACKET, WHITE SHIRT, BLACK HEADPHONES AROUND NECK. HAIR: MESSY WITH SOFT FRONT STRANDS. BACKGROUND: CAR INTERIOR/WINDOW, NIGHT MOOD. STYLE: CLEAN, SHARP, MODERN, SMOOTH SKIN." MAKE MESSY HAIR LIKE KOREAN
ChatGpt β Prompt π½ A cinematic ultra realistic dark scene set in a shadowy ruined landscape. LOCATION: A vast cracked ground with dark fog rolling across and broken stone structures around, giving a silent battlefield feel. CHARACTER: The uploaded character is standing in a strong upright pose, slightly turned sideways. He is holding a long glowing KATANA downward in one hand, the tip touching the ground. His otheβ¦
β€6
ChatGpt Prompt π½ Create an ultra-realistic cinematic collage of a young man using the uploaded face exactly. The image is composed of multiple rectangular photo panels layered vertically and diagonally, creating a scrapbook-style layout. Each panel shows close-up and mid-shot portraits of the same girl in a dim indoor room. Lighting: bluish, cool direct flash lighting hitting the face from the front-left, creating hβ¦
β€3
Gemini Prompt π½ A stylish young man (given picture face 100% unchanged) standing casually against a modern concrete wall. He wears a white Real Madrid hoodie with Fly Emirates logo and loose-fit dark grey cargo pants. His right hand is in his pocket, left hand relaxed by his side. The sunlight softly hits the upper wall behind him, creating a warm abstract shadow pattern. He's looking slightly to the side with a conβ¦
β€2
ChatGpt Prompt π½ A retro-urban styled poster featuring a young reference with image artist in multiple poses He wears a BLACK casual shirt and cinematic black and white background embroidered on the back., multiple silver rings and bracelets emphasizes his flashy. The design is layered with close-up potraits,warm brown tones, bold typography reading "ZORO" and modern magazine-style collage astheticrrepresenting ΰ¦ΰ¦ͺনাβ¦
β€3π₯1
ChatGpt Prompt π½ Ultra-detailed mixed media portrait artwork of a young South Asian man in side profile, realistic face with sharp beard and textured hair, wearing a dark high-collar jacket. Background styled like aged parchment paper filled with mysterious handwritten notes, alchemy symbols, geometric diagrams, compass sketches, arrows, equations, and abstract scientific markings. Heavy black ink splashes and expreβ¦
ChatGpt Prompt π½π½ Create an ultra-realistic cinematic fantasy scene at sunset with the exact same composition as the reference image: a massive majestic white-blue cloud dragon made entirely of clouds and mist swirling dramatically across the sky, highly detailed dragon face with glowing icy blue eyes, sharp horns, open mouth, and long serpentine body looping through the clouds. The dragon should dominate the sky exβ¦
Argentina Prompt π½ Create an ultra-realistic, cinematic FIFA World Cup 2026-inspired portrait of the uploaded person, keeping the face 100% identical with natural facial details and realistic skin texture. The person is wearing the official Argentina national football team jersey for the 2026 FIFA World Cup, standing proudly inside a massive World Cup stadium under glowing floodlights. The atmosphere is filled with pβ¦
β€οΈ ππ‘ππππ©π ππ«π¨π¦π©π π½ Relight image. Background: Deep and muted darker tone at the top, grainy Lighting: Bold night-flash aesthetic combining natura I light with direct front-facing flash. Tiny highlights. Strong backlighting creating a brilliant rim light around the subject, with a soft fill light from the front. Cinematic high-contrast mood. Skin rendered with gentle peachy tones.
β€1
β€οΈ ππ‘ππππ©π ππ«π¨π¦π©π π½ Generate a unique ultra realistic Eid Mubarak Fajr scene with a young Muslim man (early 20s) standing under a large mosque arch, slightly looking upward toward the sky with a soft smile. His pose is reflective and peaceful, holding a prayer mat over his shoulder. The setting includes detailed Islamic architecture with repeating arches, geometric carvings, and soft interior glow. Cool blue tones doβ¦
β€3β€βπ₯1
β€οΈ ππ‘ππππ©π ππ«π¨π¦π©π π½ Keep EVERYTHING exactly the same as the original image: β’ Exact face β’ Exact hairstyle β’ Exact beard/mustache pattern (if present) β’ Exact skin tone β’ Exact body shape β’ Exact pose β’ Exact hand position β’ Exact facial expression β’ Exact camera angle β’ Exact image composition β’ Exact background β’ Exact location β’ Exact lighting β’ Exact shadows β’ Exact color atmosphere DO NOT change: β’ Face β’ Hair β’β¦
β€3
β€οΈ ππ‘ππππ©π ππ«π¨π¦π©π π½ loaded reference xact identity of the person. POSE: SCENE LIGHTING Prompt STRICT IDENTITY LOCK: Preserve 100% facial structure, skin tone, hairstyle, facial features, age, and identity. Do not alter ace, hair, skin texture, or any natural characteristics. Maintain complete likeness to the reference image. Premium black ribbed knit sweater, sleek black rectangular sunglasses, small silver hooβ¦
β€3
Showing the 12 most recent of 20 posts we hold for @Presets43. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
Citation-graph rank β 980,461 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below β republished posts weigh more than named mentions β and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channelβs name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page β a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel β every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched β that handle may belong to someone else now, and crediting todayβs namer to yesterdayβs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 β 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 β the βNamed by N registered channelsβ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 10 August 2026 β this entry's latest reading, not the date you are reading this.
βππ«π¨π¦π©π_ππ’π©π¬β (@Presets43), 2,766 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Presets43.
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 Β· 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.