Channel
@AiTools3
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
11,280subscribers
-38 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002055514366 |
|---|---|
| Type | Channel |
| Username | @AiTools3 |
| Created | Between 1 November 2023 and 31 May 2024— 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 | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/AiTools3 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 05:55 | 11,280 | -4 |
| 12 Aug 2026, 06:07 | 11,284 | -8 |
| 11 Aug 2026, 04:48 | 11,292 | -11 |
| 10 Aug 2026, 06:31 | 11,303 | -12 |
| 9 Aug 2026, 05:03 | 11,315 | -4 |
| 8 Aug 2026, 02:27 | 11,319 | +1 |
| 7 Aug 2026, 05:01 | 11,318 | no change |
| 7 Aug 2026, 03:01 | 11,318 | first reading |
21 posts held, back to 12 July 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. It is computed over the 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 21 (12 July 2026 – 9 August 2026) |
| Views total | 16,239 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:15 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.
Measured directly from 1 video 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.
68 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 67.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 46 | 67.6% | |
| 🔥 | 15 | 22.1% | |
| 💯 | 2 | 2.94% | |
| 🆒 | 1 | 1.47% | |
| 👌 | 1 | 1.47% | |
| 👍 | 1 | 1.47% | |
| 👏 | 1 | 1.47% | |
| 🥰 | 1 | 1.47% |
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 19 of the 21 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 68reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 12 July 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.
- بوتات تحميل من جميع المواقع @QQ10BOT 🌀⭐ - بوت تحميل ستوريات انستا @EE10BOT 📱 - بوت تحميل يوتيوب @VV10BOT 📱 - بوت تحميل من تويتر @OO40BOT 📱 - بوت تحميل تيك توك @LL10BOT 📱 - بوت تحميل من فيسبوك @WW10BOT 📱 - بوت تحميل بنترست @ZZ10BOT 📱 بوت تحميل سناب @NN40BOT 📱
Signed الفتى
- يمكنك التنزيل من هذة التطبيقات . 🖼🖼🖼🌐✈️🖼🎞 إضغط /start وارسل رابط المنشور . لاتنسى مشاركة البوت مع اصدقائك خدمتكم واجبنا 😍 . @QQ10Bot
🔥2❤1
Signed الفتى
Posted without readable text
❤5🔥4💯2
Signed الفتى
⭐️ محرر النصوص المتقدم. يمكنك إنشاء مقالات ومنشورات طويلة تتجاوز 32000 حرف باستخدام محرر مرئي يدعم عشرات خيارات التنسيق مثل الجداول والقوائم ووسائط مضمنة وغيرها. يسمح لك هذا المحرر أيضًا بـ إنشاء نصوص وتنسيقات باستخدام أدوات الذكاء الاصطناعي التي تحترم الخصوصية.
🔥2❤1
Signed الفتى
The Lost Soul Keep my exact facial features and identity unchanged. Standing motionless in a dead grass field. Large black coat. Wind blowing through hair. Crows flying past camera lens. Heavy clouds overhead. Black and white film photography. Melancholic mood. Cinematic depth. Photorealistic.
❤2
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Use the attached reference images as the strict primary references. Preserve both faces with maximum identity fidelity (99.9%), including face shape, eyes, eyebrows, nose, lips, jawline, skin tone, hairstyle, makeup, natural asymmetry, and all facial details. Do not beautify or alter the faces. Keep the exact poses, expressions, clothing, body proportions, camera angle, framing, lighting, and composition. Recreate th…
❤1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Ultimate Photorealistic Couple Prompt Use the two uploaded reference images as the exact identity references: the first image is the man, and the second image is the woman. Preserve both faces with maximum identity accuracy (99–100%), including facial structure, eye shape, nose, lips, eyebrows, hairstyle, hairline, skin texture, body proportions, and natural expressions. Do not beautify, stylize, or alter their appe…
❤1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Amateur lo-fi digital camera snapshot, early 2000s point-and-shoot digicam aesthetic, harsh direct flash photography, slightly out of focus with subtle motion blur. A medium close-up portrait of [subject: use my reference photo for face and body], standing outdoors in a freezing alpine environment at deep twilight. The subject is centrally framed, looking directly into the camera lens with a neutral, intense gaze. On…
❤1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Create a highly realistic cinematic fashion portrait of the exact person from the reference image. Preserve their original face, identity, facial structure hairstvle, hair color, skin tone, eve shape, lips, nose, eyebrows, and all unique facial features with maximum accuracv. Do not beautifv, replace, or modifv the face. If the subiect is female: She is wearing a luxurious deep-red alitter evening gown with a high ne…
❤1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Reference Image 1 = Man * Reference Image 2 = Woman CRITICAL INSTRUCTIONS Preserve the exact real facial identity of both people from their reference images. Do NOT redesign, beautify, stylize, reshape, age-correct, smooth skin, or reinterpret their faces. Their facial proportions, eyes, eyebrows, nose, lips, jawline, ears, hairstyle, skin texture, natural asymmetry, and unique facial characteristics must rem…
❤2👌1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Fashion-forward woman caught in a side mirror reflection, wind in her hair, bold cat-eye sunglasses, glossy lips, oversized white shirt falling off the shoulder. taken with an iPhone 15 Pro in natural light, urban background with stone textures and chrome car parts
❤1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
A vertical 3-panel collage photo strip. The subiect is a girl with long straight hair in a beige knit vest. Panel 1 (Top): Close-up of ٦٬٦٦ ﺃلف her resting chin on a schoo desk, looking bored. Panel 2 Middle): Her standing against a white classroom wall, holding a book, slight motion blur. Panel 3 Bottom): Sitting on the wooden floor, tying shoelaces. Aesthetic: 9EP Korean 2000s phone-camera quality, soft warm tint, …
❤1🆒1
Signed معتزل عوفوني ( لا ترسلولي مشغول )
Showing the 12 most recent of 21 posts we hold for @AiTools3. 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.
@AiTools3 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 209,214 of 1,176,251entries 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.
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.
“ادوات الذكاء الاصطناعي Ai Tools 🤖” (@AiTools3), 11,280 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AiTools3.
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.