Channel
@tespaq
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
41,438subscribers
-252 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002895597081 |
|---|---|
| Type | Channel |
| Username | @tespaq |
| Created | Between 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/tespaq |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:53 | 41,438 | -56 |
| 11 Aug 2026, 21:42 | 41,494 | -54 |
| 10 Aug 2026, 21:38 | 41,548 | -59 |
| 9 Aug 2026, 19:51 | 41,607 | -35 |
| 8 Aug 2026, 17:35 | 41,642 | -48 |
| 7 Aug 2026, 19:00 | 41,690 | no change |
| 7 Aug 2026, 18:51 | 41,690 | first reading |
8 posts held, back to 9 May 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 16 pagesof 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 28 July 2026 |
|---|---|
| Posts held | 8 (9 May 2026 – 28 July 2026) |
| Views total | 16,330 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 08:56 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.
Lifetime counters from Telegram’s own channel header, read 13 August 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.
Measured directly from 5 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.
820 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 54.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 443 | 54.0% | |
| 😍 | 207 | 25.2% | |
| 💯 | 132 | 16.1% | |
| 🙈 | 38 | 4.63% |
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 8 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 820reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 9 May 2026 to 28 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tespaq. 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 8 most recent posts we hold for this entry, published 9 May 2026 to 28 July 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.
ОБРАБОТКА ФОТО ИИ 1. копируем промт (просто на текст нажмите) 🔽 Add an espresso filter to the photo, do not detail the photo, save everything in its original form 2. вставляем в любую из нейронок (каждая по своему сделает) 🔽 1️⃣ CHAT GPT 1 🤩 2️⃣ CHAT GPT 2 🤍 3️⃣ CHAT GPT 3 🤍 4️⃣ CHAT GPT 4 🤩 УЛУЧШЕННЫЕ ПРОМТЫ that’s all 🤣
😍3💯1
LOFI DUSK EFFECT или ЭФФЕКТ СВЕТА СЗДАИ 1. копируем промт (просто на текст нажмите) 🔽 Add sunlight to the photo, the rays illuminate the face, save the photo in the original. 2. вставляем в любую из нейронок (каждая по своему сделает) 🔽 1️⃣ CHAT GPT 1 🤩 2️⃣ CHAT GPT 2 🤍 3️⃣ CHAT GPT 3 🤍 4️⃣ CHAT GPT 4 🤩 УЛУЧШЕННЫЕ ПРОМТЫ that’s all 🤣
😍4🔥2
АНАЛИЗ ВНЕШНОСТИ 1. делаем фото. вот промт 👇 (скопировать - нажми на текст) Create a beauty report about my beauty, only from my photo. All images should be my edited photo, not a new person. Completely save my appearance, clothes and background; change only hair, eyebrows, makeup and style. The whole text is in Russian 2. вставляем фото сюда: в каждом получится по-разному 1️⃣ CHAT GPT 1 🤩 2️⃣ CHAT GPT 2 🤍 3️⃣…
formula 1 ai trend 1. делаем фото. промт 👇 (чтобы скопировать, просто нажми на текст) 업로드한 인물의 얼굴은 실제 사진 그대로 유지하고 절대 수정하지 말 것. AI 미남/미녀 느낌이 아니라, 실제 Formula 1 생중계 중 우연히 카메라에 잡힌 일반인처럼 매우 현실적으로 생성. 반드시 Ferrari F1 피트월(Pit Wall) 내부에 앉아 있는 장면. Sky Sports F1 / Formula 1 공식 방송 캡처 느낌. Ferrari 팀의 빨간 피트월 의자에 자연스럽게 앉아 있고, 정품 Ferrari 팀 헤드셋(빨간색, 마이크 포함)을 착용한 상태. 구도는 반드시 실제 TV 중계 카메라처럼: 정면~약간 측면의 직캠 구도, 허리 위 상반신 중심, 방송 중 짧게 포착된 자…
🔥19🙈7💯5
KOREAN AI TREND С ПАРНЕМ 1. промт для фото 업로드한 여성과 남성의 얼굴은 실제 그대로 유지하고, AI 미남/미녀 느낌 절대 금지. “진짜 KBO 생중계 카메라에 우연히 잡힌 일반인 커플 관중”처럼 자연스럽게 생성. SPOTV / KBO 방송 캡처 느낌, 관중석 직캠 구도, 야구장 실제 중계 화면처럼. 두 사람은 자연스럽게 커플처럼 앉아 있고, 남자는 여성 어깨에 자연스럽게 팔을 두르고, 둘 다 경기 보다가 카메라에 잠깐 잡힌 느낌. 카메라를 의식한 듯 안 한 듯한 자연스러운 표정. 억지 포즈 금지, 화보 느낌 금지. 주변에는 실제 관중들, 맥주컵, 응원 배트, 유니폼, 선풍기, 휴대폰, 간식, 경기장 좌석 등 현실적인 디테일 자연스럽게 배치. 중요: 얼굴 과보정 금지 눈 키우기 금지 턱 보정 금지 코 보정 …
😍40🙈8🔥4
ну что газ?) реакций и кидаю промт
🔥275😍105💯75🙈6
ОЖИВЛЯЕМ ФОТО: есть 2 способа. 1 способ: через приложение klingai. там у меня не получилось, говорит покупать токены, хотя есть бесплатные 2 способ: через это приложение в тг там встроена klingai, но лучше делать через нейронку luma. я и там, и там пробовала. 1) вставляете сделанное фото через chat gpt 2) вставляете промт: realistic sports broadcast scre enshot-style documentary photo set in the spectator stands…
🔥57💯22😍22🙈5
КОРЕЙСКИЙ ТРЕНД НА БЕЙСБОЛЬНОМ МАТЧЕ 🤌🏻 1. для создания фото: КОПИРУЕМ 👇 (просто нажмите на текст) 업로드한 인물 얼굴은 실제 그대로 유지하고, AI 미남/미녀 느낌 말고 “진짜 KBO 생중계 카메라에 우연히 잡힌 일반인 관중” 처럼 자연스럽게 생성. SPOTV/KBO 방송 캡처 느낌, 관중석 직캠 구도, 주변 관중·맥주컵·응원도구·선풍기 자연스럽게 배치. 중요: 얼굴 과보정 금지 눈 키우기 금지 턱 보정 금지 피부 뽀샤시 금지 화보 느낌 금지 인플루언서 느낌 금지 실제 방송처럼: 약간 흐린 생중계 화질, 압축 노이즈, 미세한 모션블러, 현실적인 피부결, 잔머리와 땀광 표현. 다리 꼬고 편하게 경기 보는 모습, 카메라 의식한 듯 안 한 듯한 자연스러운 표정. 핵심…
🔥86😍33💯29🙈12
Showing the 8 most recent of 8 posts we hold for @tespaq. 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“tespaq / ВСЕ ПРО CHAT GPT” (@tespaq), 41,438 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tespaq.
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.