Channel
@zankoo_ai
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
616subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001337501670 |
|---|---|
| Type | Channel |
| Username | @zankoo_ai |
| Created | 6 September 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/zankoo_ai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:24 | 616 | no change |
| 7 Aug 2026, 10:17 | 616 | first reading |
20 posts held, back to 8 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 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 30 July 2026 |
|---|---|
| Posts held | 20 (8 December 2025 – 30 July 2026) |
| Views total | 303 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 10:17 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.
122 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 54.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 66 | 54.1% | |
| 👍 | 22 | 18.0% | |
| 👎 | 15 | 12.3% | |
| 👏 | 7 | 5.74% | |
| 🔥 | 7 | 5.74% | |
| 😁 | 4 | 3.28% | |
| 💩 | 1 | 0.82% |
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 16 of the 20 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 122reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 December 2025 to 30 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.
شرکت چینی aheadform.com سازنده ی کله ی این رباتهاست. که بسیار شبیه تر به آدمهای واقعی بنظر میرسند. پلک میزنند، تماس چشمی برقرار میکنند و میتوانند طیفی طبیعی از حالت های چهره رو تقلید کنند. شعارشون هم اینه: We're Building a Head for AI
آمریکا واردات نسل جدید رباتهای خارجی را محدود میکند. کمیسیون ارتباطات فدرال آمریکا، FCC، صدور مجوز برای نسل جدید رباتهای متحرک ساخت خارج را محدود کرده؛ از رباتهای انساننما و چهارپا گرفته تا رباتهای خودران زمینی. اگرچه این تصمیم رسماً همه تولیدکنندگان خارجی را شامل میشود، به نظر میرسد هدف اصلی آن مهار رشد سریع صنعت رباتیک چین و کاهش وابستگی آمریکا به فناوریهای چینی باشد. محصولاتی که قبلاً مجوز گرفتهاند هم…
گزارشی توسط بانک جهانی منتشر شده که به روند ها و لوازم توسعه ی زیرساخت های هوش مصنوعی در کشورها پرداخته. بخش هاییش رو بطور خلاصه ترجمه کردم و در ویرگول قرار دادم. این گزارش اگر چه مخاطبش میتونه تصمیم گیران حاکمیتی و بازیگران خصولتی باشه، اما برای یک فعال حوزه هوش مصنوعی یا یک شهروند معمولی هم نکات زیادی برای گفتن داره. از لینک زیر ببینید https://vrgl.ir/1mSE3
👍3
چند سال پیش مقاله ای میخوندم که مهمترین اثر (اقتصادی) هوش مصنوعی، برخلاف تصور ما (که فکر میکردیم تکنولوژی های پیشرفتهی هوش مصنوعیه)، چیزی نبوده جز: ترجمهی هوشمند و «کاهش موانع زبانی» برای میلیونها بیزینس در شرق آسیا و بقیه کشورهای در حال توسعه، تا به بازار جهانی متصل بشن و در پلتفرمهای آنلاین محصولاتشون رو عرضه کنند. امروز هم GenAI میتونه فرصتهای زیادی رو درست کنه، از جمله اینکه «صدای» کشورها رو به گوش دنیا برسو…
🔥7
ربات خسته
😁4
پکن سرمایهگذاری آمریکا در استارتاپهای هوش مصنوعی چین را مسدود میکند. (ترجمه ماشین) تا هفته منتهی به ۲۷ آوریل، تأیید شد که کمیسیون ملی توسعه و اصلاحات چین (NDRC)، نهاد مرکزی برنامهریزی اقتصادی این کشور، به شرکتهای داخلی هوش مصنوعی دستور داده است که پیش از پذیرش سرمایه از آمریکا، حتماً مجوز صریح دولت را دریافت کنند. این دستور به Moonshot AI، سازنده مدل زبانی Kimi که در حال جذب سرمایه با ارزشگذاری ۱۸ میلیارد دلا…
❤4
تیم Social Capital (چاماث) تحقیقی روی بازار رباتیک و رباتهای انساننما انجام داده که جالبه: https://open.substack.com/pub/chamath/p/humanoid-robots?r=a2k8b طبق این تحلیل، ۷ حوزه اثرگذاری رباتهای انساننما: 1️⃣ کمک در خانه (Domestic Assistance): کمک به جابجایی افراد، انجام کارهای روزمره خانه، و یادآوری مصرف دارو. 2️⃣ تولید (Manufacturing): کمک در مونتاژ، جابجایی ابزار و قطعات، و بازرسی محصولات نهایی. 3️⃣ ا…
👍2
⚠️ اگه از گیتهاب کوپایلوت استفاده میکنید، بزودی (از ٢۴ آوریل) قراره از کدهای شما برای یادگیری مدلهاشون استفاده کنن. این قابلیت بصورت پیش فرض برای همهی کاربرها فعال شده مگر اینکه مستقیماً برید و غیرفعالش کنید: https://github.blog/news-insights/company-news/updates-to-github-copilot-interaction-data-usage-policy/
👍2
صندوق بازسازی و نوسازی شریف
👏7👎3
متن زیبایی از یکی از فرزاندان انستیتو پاستور ایران، در وصف قدمت و ریشه ی این موسسه. راستی همه ما یک خاطره مشترک از انستیتو پاستور داریم. بازویمان را نگاه کنیم، بله جای واکسن سل. همه ما ایرانیان حداقل یک مول کول از انستیتو پاستور در بدن داریم. شاید این همان علقه مشترک ما به میراث کشور باشد. روزی او ما را نجات داد و امروز ما باید او را. زانکو یعنی دانشگاه
❤10👎3
واژه Hasbara (הַסְבָּרָה) از ریشه عبری میاد و یعنی: «توضیح دادن / روشنسازی / تبیین» یا بعبارت دیگه: "ارائهی روایت و توضیح رسمی برای شکلدادن به درک افکار عمومی" (شما بخوانید دستور پخت پروپاگاندا) این کتابچه مجموعه ی مفصلی از استفاده از این تکنیک هاست که برای دانشجویان اسراییلی تهیه شده. The Hasbara Handbook (2002) by the World Union of Jewish Students, serves as a comprehensive manual for Israel advocacy on uni…
❤5
Signed Javad Amirian
از اونجا که این کانال اساسا جایی برای موضع گیری های سیاسی مون نبوده و فقط هر از گاهی از سر همدلی و از بُعد اخلاقی، پستهایی رو گذاشتیم، من نظرات سیاسی و ضدجنگم رو در استوری پیج تلگرامم ادامه میدم. پاینده ایران ❤️ t.me/amiryanj
❤5
Signed Javad Amirian
Showing the 12 most recent of 20 posts we hold for @zankoo_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.
Citation-graph rank — 1,325,848 of 1,350,102entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“زانکو” (@zankoo_ai), 616 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/zankoo_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.