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Channel

GPT Ocean

@gptocean

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

758subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002138269870
TypeChannel
Username@gptocean
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live24 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/gptocean

Growth

751758754.57 August 2026 — 753 subscribers8 August 2026 — 755 subscribers8 August 2026 — 755 subscribers16 August 2026 — 751 subscribers24 August 2026 — 758 subscribers7 August 202624 August 2026
5 measurements spanning 17 days, net +5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 750–759 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 20:06758+7
16 Aug 2026, 15:44751-4
8 Aug 2026, 02:01755no change
8 Aug 2026, 01:24755+2
7 Aug 2026, 13:15753first reading

Engagement

15 posts held, back to 5 July 2026the 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.

ERR · 30 days
8.81%
avg views ÷ 758 subscribers
Avg views / post
66.8
4 posts measured
Reaction rate
5.24%
reactions ÷ views · ER floor
Posts in window
5
of 15 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held15 (5 July 20267 August 2026)
Views total267
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:01 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.

What this channel posts

Video runtime
40m 12s
Average length
10m 03s

Measured directly from 4 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.

Reaction mix

61 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1931.1%
🔥1016.4%
👏711.5%
👌69.84%
🙏69.84%
💯58.20%
🤣46.56%
🥴23.28%
❤‍🔥11.64%
🤪11.64%

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 14 of the 15 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 5 July 2026 to 7 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.

Recent posts

7 Aug 2026, 18:36 UTC114 views4 reactionsread 8 August 2026

🔗 لینک‌های مستقیم ابزارهای هوش مصنوعی گوگل 1️⃣ Google Stitch / Pomelli (طراحی سریع UI با هوش مصنوعی): https://stitch.withgoogle.com 2️⃣ Google AI Studio (دسترسی به مدل‌های جمینای و پرامپت‌نویسی): https://aistudio.google.com 3️⃣ NotebookLM (دستیار تحلیلی و خلاصه‌ساز اسناد): https://notebooklm.google.com 4️⃣ Google Flow (ابزار هوشمند‌سازی پروسه‌ها و اتوماسیون گوگل): https://flow.google.com (یا سرویس‌های مشابه اتوماسیو

🙏2💯1🤪1

7 Aug 2026, 18:33 UTC56 views3 reactionsread 8 August 2026

مترجم هوش مصنوعی ChatGPT به‌ تازگی سرویس مترجم‌ ChatGPT راه افتاده که شبیه Google Translate است. یعنی هر متنی را بدید سریعاً به زبان مقصد ترجمه می‌کند. بیش از 40 زبان را پشتیبانی می‌کند که خوشبختانه یکی از آن‌ها زبان فارسی است. برای استفاده به لینک زیر بروید: https://chatgpt.com/translate/ #هوش_مصنوعی @gptocean

🔥2💯1

7 Aug 2026, 18:29 UTC57 views4 reactionsread 8 August 2026
Photo

اثر #توهم_ایده_ها و رسیدن به نتیجه در عصر #هوش_مصنوعی @gptocean

🥴2👍1👏1

29 Jul 2026, 15:52 UTC749 views3 reactionsread 8 August 2026
Video

به عنوان یک مهندس متخصص در زمینه‌ی دستورالعمل‌ها عمل کنید. من یک پیش‌نویس دستورالعمل ارائه خواهم داد. هدف آن را تجزیه و تحلیل کنید، ۳ نقطه ضعف را فهرست کنید و آن را با استفاده از این چارچوب (نقش، هدف، معیارهای موفقیت، محدودیت‌ها، قالب خروجی، قوانین توقف) بازنویسی کنید. اگر خیلی مبهم است، ۳ سوال روشنگر از من بپرسید [پرامپت شما]  #هوش_مصنوعی #پرامپت_نویسی @gptocean

💯2👏1

23 Jul 2026, 16:36 UTC268 views2 reactionsread 8 August 2026
Photo

✨ آیا #هوش_مصنوعی خلاقیت را از بین می‌برد... یا می‌تواند آن را تقویت کند؟ یک تحقیق جدید از (دانشگاه علوم و فناوری سوئیس) نکته بسیار مهمی را بیان می‌کند: خلاقیت زمانی به وجود می‌آید که نتیجه نهایی هوش مصنوعی را بررسی کنید و به این فکر کنید که "این عجیب است... آیا می‌توان بهتر از این هم عمل کرد؟" محققان این فرآیند را "تعامل سازنده" نامیده‌اند. تفاوت بین دو نوع تعامل: * تعامل بی‌فایده = تکرار و انجام کارهای خسته‌

🔥2

23 Jul 2026, 00:07 UTC241 views3 reactionsread 8 August 2026
Video

#وایپ_کدینگ برنامه نویسی برای همه @gptocen

👏2🙏1

20 Jul 2026, 10:31 UTC289 views5 reactionsread 8 August 2026
Video

1-#تفکر_انتقادی، #حل_مسئله 2-#حل_مسئله با رویکردهای جدید تفکر انتقادی 3-#خلاقیت و #ایده‌پردازی 4-تبدیل #طوفان_فکری به ماشین راه‌حل 5-تفکر انتقادی و قضاوت در عصر #AI 6-#هوش_مصنوعی را شریک فکری خود کنید #هوش_مصنوعی #دوره_پرامپت_نویسی #ایجنت_هوش_مصنوعی

👍4❤‍🔥1

16 Jul 2026, 16:32 UTC898 views10 reactionsread 8 August 2026
Video

ایجاد ایجنت هوش مصنوعی مبتنی بر پرامپت نویسی بخشی از دوره پیشرفته پرامپت نویسی با تدریس خودم #هوش_مصنوعی #دوره_پرامپت_نویسی #ایجنت_هوش_مصنوعی @gptocean

👍10

8 Jul 2026, 16:23 UTC342 views4 reactionsread 8 August 2026
Photo

🧠 تأملی بر فلسفه هوش مصنوعی آیا بزرگ‌ترین چالش هوش مصنوعی، افزایش هوشمندی آن است؟ شاید نه. در این یادداشت استدلال شده است که مسئلهٔ اصلی آیندهٔ هوش مصنوعی، کمبود الگوریتم یا قدرت پردازش نیست؛ بلکه خلأهای فلسفی است که هنوز کمتر درباره آن‌ها اندیشیده‌ایم. از «شخصیت» و «فراموشی» گرفته تا «اعتماد»، «سکوت»، «کنجکاوی»، «زمان» و «معنای موفقیت»، این یادداشت تلاشی است برای طرح پرسش‌هایی که احتمالاً در دهه‌های آینده، بیش از هر

👏3💯1

Showing the 12 most recent of 15 posts we hold for @gptocean. 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.

Cite this entry

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“GPT Ocean” (@gptocean), 758 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/gptocean.

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.