Channel
@Prompts_artificial_Intelligence
On this record: Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
757subscribers
+0 since we began measuring on 30 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001674819057 |
|---|---|
| Type | Channel |
| Username | @Prompts_artificial_Intelligence |
| Description | Network @itsme_NafichShikdar |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 30 September 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Prompts_artificial_Intelligence |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Sept 2026, 09:22 | 757 | no change |
| 30 Sept 2026, 08:47 | 757 | first reading |
20 posts held, back to 11 December 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 17 December 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 30 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.
Use the uploaded selfie as the primary reference. Preserve my face, facial structure, skin tone, hairstyle, eye shape, and expression with 100% accuracy. Do not alter my identity in any way. Create a realistic Bangladesh Victory Day (16 December) poster. I am standing confidently in front of the Shaheed Minar, wearing a clean white Panjabi. My expression is calm with a soft smile, respectful and proud. Behind me, t…
Ultra-realistic half-body photo of this young man standing beside a pond with water hyacinths. Wearing breathable linen shirt, sleeves folded. One hand in pocket, relaxed shoulders. Soft morning light, natural green color grading, heavy background blur, DSLR portrait look.
Ultra-realistic half-body portrait of this young South Asian man (face from given image unchanged), standing beside a rural Bangladeshi village road lined with coconut trees. Wearing a lightweight cotton short-sleeve shirt and casual trousers. One hand resting on waist, slight body lean, confident posture. Natural daylight, neutral color tone. DSLR 85mm lens, strong background blur, realistic foliage depth.
Ultra-photorealistic DSLR half-body portrait (head to waist only) of this young man, face exactly same as provided image. He is standing beside a real Bangladeshi roadside, small local shops barely visible in the distance, electric wires, trees, concrete poles all authentic elements, nothing fancy. He wears a simple premium summer shirt, slightly open collar, realistic wrinkles and stitching, paired with casual pan…
Ultra-realistic DSLR half-body portrait (head to waist only) of this young man, face exactly matching the given photo, no facial change at all. He is standing casually outdoors in a real Bangladeshi environment village roadside with coconut trees, banana plants, dusty ground, and distant tin-roof houses. He is wearing a premium breathable cotton short-sleeve shirt (solid or subtle texture, realistic fabric folds), r…
Ultra-realistic half-body DSLR portrait of this young man (face 100% unchanged from reference image), captured beside an outdoor rural badminton court in Bangladesh. He wears a premium charcoal-grey winter hoodie with subtle texture, paired with a lightweight sports jacket. Minimal, realistic fabric folds and stitching. Pose: badminton-inspired stance, one shoulder slightly forward, torso relaxed, hand resting near…
“8K hyper-real portrait, half-body, uploaded face retained exactly. Standing beside a large banyan tree like real Bangladeshi rural/urban mix. Background extremely blurred but organic green leaves, brown tree trunk, sunlight spots. Wearing a premium olive winter hoodie, slight stylish lean, natural hand placement. Zero redness, zero saturation shift. Photographic skin texture, natural shadows, realistic dynamic range…
Ultra-realistic half-body portrait of this young man (face strictly unchanged from reference image), standing outdoors in a rural Bangladeshi setting during a winter morning. He is wearing a premium dark olive hoodie layered under a lightweight matte-finish winter jacket, clean minimal design, no fake branding. Sleeves slightly pushed up, creating a sporty badminton-style look. Pose: body slightly turned sideways, …
“Ultra-realistic half-body winter portrait of this young man (face perfectly matched). Natural outdoor background large tree trunk, green leaves, soft daylight, everything heavily blurred like DSLR f/1.2 bokeh. Wearing a premium navy bomber jacket, subtle stylish pose, relaxed expression. Natural light reflections on hair and jacket. No AI artefacts, no fake patterns. Authentic Bangladeshi environment tones.”
“Hyper-realistic 8K portrait, half-body, young South Asian man (uploaded face 100% matched). Natural Bangladeshi park environment, soft winter morning light, fog-like low haze in distance, trees and leaves heavily blurred (f/1.4 bokeh). Wearing a premium black puffer winter jacket, hands relaxed, slight head tilt for style. No artificial colors, perfect Bangladesh daylight palette (natural green + soft warm highlight…
Generate a hand-drawn portrait illustration in red and yellow pen on notebook paper, inspired by doodle art and comic annotations. Keep full likeness of the subject, expressive lines, spontaneous gestures, bold outline glow, handwritten notes around, realistic pen stroke texture, 4K resolution
“Ultra-realistic 8K half-body portrait of this young South Asian man (uploaded photo face 100% unchanged). Standing outdoors beside a big Bangladeshi banyan tree trunk with natural soft green leaves overhead. Deep background blur (f/1.4), realistic depth compression, absolutely zero artificial colors. Winter morning tone with soft cool white sunlight, no redness, no saturation boost. Wearing a premium dark gray winte…
Showing the 12 most recent of 20 posts we hold for @Prompts_artificial_Intelligence. 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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“Ai Prompt” (@Prompts_artificial_Intelligence), 757 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/Prompts_artificial_Intelligence.
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.