Channel
@Nuna_AI
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
594subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002994767702 |
|---|---|
| Type | Channel |
| Username | @Nuna_AI |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Nuna_AI |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 09:27 | 594 | no change |
| 9 Aug 2026, 22:31 | 594 | first reading |
7 posts held, back to 7 August 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 pageof 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.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 7 (7 August 2026 – 9 August 2026) |
| Views total | 1,406 |
| Reactions total | 224 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 22:31 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.
224 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 36.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 82 | 36.6% | |
| 🥰 | 69 | 30.8% | |
| ❤ | 38 | 17.0% | |
| 🍓 | 35 | 15.6% |
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 7 of the 7 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 224reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 7 August 2026 to 9 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Nuna_AI. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 7 most recent posts we hold for this entry, published 7 August 2026 to 9 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🌟🌟🌟🪦🌟🪦🌟🌟🌟🌟🪦🌟🪦🌟🌟 Наряды 1. Vibrant pink and purple gradient oversized hoodie, zip-up hoodie, front zipper half-open, deep v-neck, exposed collarbones, bare chest, hood up, baggy matching jogger pants, gradient sweatpants, elastic cuffs, neon orange socks, chunky white platform sneakers, thin silver chain necklace, vibrant streetwear aesthetic 2. Black high-neck top, form-fitting t…
❤🔥9🥰6🍓4❤1
🪦🌟🌟🪦🌟🪦🪦🌟🌟🌟🌟🪦🌟🌟🪦 Наконец то прохладно стало, ещё бы воду горячую дали была бы вообще песня 🎁Вводик: 1boy, solo, male focus, side profile view, upper body, from waist up, looking down, gentle soft smile, peaceful expression, graceful posture, bare torso, exposed chest, exposed collarbones, bare shoulders, draped in a sheer translucent veil, flowing pink and orange fabric, lightweight shawl, cloth blowing in the wind, …
❤🔥18🥰9🍓4❤3
🌟🌟🌟🌟🌟🪦🪦🪦🌟🌟🪦🌟🌟🪦🪦 Наряды 1. Oversized vintage basketball jersey, black and orange color block, sleeveless, oversized fit, worn over a white long-sleeve thermal shirt underneath, baggy black track pants, wide-leg sweatpants, white stripes down the sides, elastic waistband, black beanie, layered necklace with small pendants, high-top chunky sneakers, black and white sneakers, platfo…
❤🔥11🍓5🥰5
🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 Наверно с другим стилем смотрелось бы лучше, но я хотела потестить свой на персонажах, сделала несколько и решила уже доделать подборку с этим стилем, так что извиняюсь, если некрасива 🌟Вводик: 1boy, solo, male focus, Cowboy shot, three-quarter angle, leaning forward against the hood of an old car, hands in pockets, relaxed slouching posture, heavily flushed skin, wearing an oversized unbuttoned red …
🥰19❤10❤🔥7🍓4
🌟🌟🪦🪦🌟🪦🌟🌟🪦🪦🪦🌟🌟🌟🌟 Наряды 1. Cropped black tucked shirt, long billowy sleeves, high neck, black leather suspenders criss-crossing the chest, wide-leg dark grey trousers, baggy fit, pleated pants, thick black leather belt with a large silver buckle, long black leather gloves, silver geometric earrings, black leather boots with a thick platform, minimalist streetwear, high fashion ae…
❤🔥14🥰8❤4🍓3
🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 Ampreview Main @[qianben shan:1.5|3838383|(vyqi:0.7)], beautiful face, beautiful eyes,detailed eyes, intricate details, (@gsusart:1.5), (@yunouou10:1 3), painting \(medium\), traditional media, many shades, (detailer:2), (sketch lines:0.4), (pastel painting:0.8), #меши_нуны@Nuna_AI
❤19🍓8🥰5❤🔥1
🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 По итогам опроса о годовщине большинство голосов о том, чтоб ничего не проводить, ну ладна, и так отметим вхв 🌟Вводик: 1boy, solo, upper body, majestic calm expression,standing, bare chest, muscular torso, naked upper body, large gold ornate earrings with hanging pearls, light beige draped fabric around waist, knotted fabric, gold waistband with hanging tassels, thick heavy pearl necklace draping ove…
❤🔥22🥰17🍓7❤1
Showing the 7 most recent of 7 posts we hold for @Nuna_AI. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 245,915 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — 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 channel’s 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 — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 1 registered channel — 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 — that handle may belong to someone else now, and crediting today’s namer to yesterday’s 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 — 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.
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 — this entry's latest reading, not the date you are reading this.
“Nuna art | 18+” (@Nuna_AI), 594 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Nuna_AI.
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.