Telegram RegisterThe public register of Telegram
Telegram profile photo for tarfandoon (Ali Jahani)

Channel

tarfandoon (Ali Jahani)

@tarfandoonchannel

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Telegram's recommendations · Cite this entry

6,708subscribers

+596 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001526773247
TypeChannel
Username@tarfandoonchannel
DescriptionHi , 👋 Its Ali Jahani Contact : Twitter : https://twitter.com/selfmrj Website : https://jahaniwww.com Linkedin:https://www.linkedin.com/in/ajahani/ PV : @satreyek
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/tarfandoonchannel

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 33% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

6,1066,7086,4077 August 2026 — 6,112 subscribers7 August 2026 — 6,112 subscribers8 August 2026 — 6,113 subscribers11 August 2026 — 6,115 subscribers14 August 2026 — 6,106 subscribers18 August 2026 — 6,113 subscribers21 August 2026 — 6,141 subscribers24 August 2026 — 6,199 subscribers28 August 2026 — 6,203 subscribers31 August 2026 — 6,213 subscribers3 September 2026 — 6,236 subscribers9 September 2026 — 6,263 subscribers12 September 2026 — 6,265 subscribers16 September 2026 — 6,349 subscribers2 October 2026 — 6,441 subscribers9 October 2026 — 6,485 subscribers14 October 2026 — 6,526 subscribers17 October 2026 — 6,574 subscribers20 October 2026 — 6,618 subscribers26 October 2026 — 6,624 subscribers29 October 2026 — 6,656 subscribers2 November 2026 — 6,694 subscribers5 November 2026 — 6,708 subscribers7 August 20265 November 2026
23 measurements spanning 90 days, net +596. 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 6,016–6,798 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
5 Nov 2026, 06:466,708+14
2 Nov 2026, 03:066,694+38
29 Oct 2026, 16:376,656+32
26 Oct 2026, 05:556,624+6
20 Oct 2026, 10:406,618+44
17 Oct 2026, 11:206,574+48
14 Oct 2026, 03:006,526+41
9 Oct 2026, 09:186,485+44
2 Oct 2026, 15:216,441+92
16 Sept 2026, 09:186,349+84
12 Sept 2026, 19:016,265+2
9 Sept 2026, 01:156,263+27
3 Sept 2026, 09:466,236+23
31 Aug 2026, 10:576,213+10
28 Aug 2026, 01:186,203+4
24 Aug 2026, 14:546,199+58
21 Aug 2026, 03:146,141+28
18 Aug 2026, 00:026,113+7
14 Aug 2026, 18:186,106-9
11 Aug 2026, 08:426,115first reading

Engagement

37 posts held, back to 3 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.6%
avg views ÷ 6,708 subscribers
Avg views / post
2,590
16 posts measured
Reaction rate
2.67%
reactions ÷ views · ER floor
Posts in window
16
of 37 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 5 November 2026
Posts held37 (3 July 2026 – 5 November 2026)
Views total41,384
Reactions total1,107
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 12:42 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

Photos
880
Videos
36
Links
547

Lifetime counters from Telegram’s own channel header, read 5 November 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.

Reaction mix

1,542 reactions across 36 posts, in 6 distinct kinds. The most used accounts for 67.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,03767.3%
👍22614.7%
🔥21714.1%
🐳312.01%
⚡271.75%
✍40.259%

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 36 of the 37 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 1,542 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 3 July 2026 to 5 November 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 37 we hold a reading for · 3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tarfandoonchannel. 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 37 most recent posts we hold for this entry, published 3 July 2026 to 5 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 16 posts held from the last 30 days (6.25%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 11:04 UTC534 views4 reactionsread 5 November 2026
Photo

با ابزار ردپا بزرگترین هک تاریخ کریپتو رو دنبال کردم ! روش های عجیبی داشتن هکرا لینک ویدیو : https://youtu.be/6KXv_7kN1TI

❤4

4 Nov 2026, 09:20 UTC≈1,360 views47 reactionsread 5 November 2026
Photo

بنچمارک laya روی زبان فارسی که انجام داده بودم و هاگین فیس اسپاسنر شده بود رو به زودی سازنده ی laya قرار میده روی گیت هاب laya :)

❤39🔥6⚡1👍1

2 Nov 2026, 18:39 UTC≈1,530 views21 reactionsread 5 November 2026

https://jahaniwww.com/%da%af%d8%b2%d8%a7%d8%b1%d8%b4-%d9%81%d9%86%db%8c-%d9%88-%d8%a8%d9%86%da%86%d9%85%d8%a7%d8%b1%da%a9-%d9%85%d8%af%d9%84-%d8%ad%d8%b1%d8%a7%d9%81-%d9%88%d9%82%d8%aa%db%8c-%db%8c%da%a9-%d9%85%d8%af/

🔥19❤2

2 Nov 2026, 17:52 UTC≈1,540 views23 reactionsread 5 November 2026
Photo

https://profile.google.com/@tarfandoon از این به بعد میتونید پروفایل رسمی گوگل رو هم داشته باشید ، تازه واجد شرایط شدم و claim کردم .

👍16❤7

1 Nov 2026, 15:44 UTC≈1,860 views60 reactionsread 5 November 2026
Photo

https://huggingface.co/spaces/tarfandoon/harraf از همین حالا میتونید نسخه جدید "حراف" رو روی هاگین فیس امتحان کنید :) خوشحال میشم فیدبک هاتون رو بگیرم .

❤47👍7🐳3✍2🔥1

30 Oct 2026, 12:18 UTC≈2,560 views60 reactionsread 5 November 2026
Photo

این ویدیو پر از تجربه ست ! چی شد که حراف ساخته شد! چطوری ؟ توی این ویدیو در موردش صحبت کردم و معرفیش کردم. لینک ویدیو : https://youtu.be/2AASEgMmp78

❤46👍10🔥3🐳1

29 Oct 2026, 21:39 UTC≈2,640 views98 reactionsread 5 November 2026
Photo

و حالا حراف از مدل Qwen پیشی گرفت در مسائل ریاضی. تقریبا شکست قطعی دادیم نسخه 600 میلیونی Qwen رو اون هم با نصف پارامتر. به زودی ویدیو یوتیوب مسیر آموزش این مدل رو میزارم با مسائل فنی و ....

🔥64❤25👍9

29 Oct 2026, 11:21 UTC≈2,910 views157 reactionsread 5 November 2026
Photo

عالی شد :) دوسش دارم ! حراف رو یادتون بمونه 😉 به زودی ازش بیشتر میشنوید احتمالا ! بنچمارک با QWEN 0.6B و همینطور LFM2-700M رو شکست داد به راحتی ! بنچمارک کردم با 2 مدل بالاتر از خودش و دارم لذت میبرم از نتایجش :) بله ! اینطوری میشه که میشه برای چین و مدل های اوپن سورس هم شاخ و شونه کشید ! و این کاریه که یک ایرانی میتونه به راحتی از پسش بربیاد اون هم با کمترین امکانات ! این چیزیه که شمارو از صفر به صد میرسونه ! هیچ وق…

❤119👍22🔥14✍2

27 Oct 2026, 08:44 UTC≈2,840 views106 reactions1 Starread 5 November 2026
Photo

وایت پیپر آماده شد :) مدل "حراف" یه جوری رفتار کرد که دارم از کار باهاش لذت میبرم. نمیدونم چرا ولی احساس میکنم ایران یدونه مدل زبانی بیس که پایه بشه کم داشت و خوب با هزینه ی خودم این مدل رو ساختم ، چند تا از کارهای جذابی که میشه باهاش کرد و به زودی قرار میدم توی کانال تلگرام.

❤85👍17🔥3🐳1

25 Oct 2026, 19:31 UTC≈3,200 views170 reactionsread 5 November 2026
Photo

و حالا نتیجه ی 1 سال و خورده ای پژوهش رو گرفتم :) مدلی در سطح GPT-2 ! با معماری اصلاح شده ی ترنسفورمر و همینطور توکنایزر اختصاصی :) و این مهمترین دستاورد من در تمام دوران کاری حرفه ایم هست . یک مدل انکدر+دیکدر 235 میلیون پارامتری که به شدت خوب عمل کرده :) خداروشکر میکنم بابت این دستاورد و اصلا برام مهم نیست که چه میشود، مهم اینه که چیزی که میخواستم رو ساختم و دارم از این کارم لذت میبرم و این تازه شروع ماجرای من هست …

❤136🔥19👍15

25 Oct 2026, 07:13 UTC≈3,040 views27 reactionsread 5 November 2026

یادآوری ⚠️ : تبلیغاتی که در کانال من‌نمایش داده‌ میشه تبلیغات خود تلگرام‌هست ، پس لطفا روی هر تبلیغی کلیک نکنید.

👍22❤3🐳2

24 Oct 2026, 10:08 UTC≈3,460 views31 reactionsread 5 November 2026
Photo

کامل ترین گزارش هوش مصنوعی در سال ۲۰۲۶ رو میزارم روی یوتیوب، هزینه هایی که شده، رباتیک ، ایجنت ها ، و .... . به کجا رسیدیم ، و به کجا میخوایم بریم . حدود ۳۳ دقیقه ست این ویدیو که به نظرم حتما باید ببینید و بدونید که کجایید و چیکار باید بکنید برای سال بعد، و اینکه این ویدیو به صورت پرزنتیشن هست . لینک ویدیو : https://youtu.be/-5meztKaq2o

👍15❤10🔥6

Showing the 12 most recent of 37 posts we hold for @tarfandoonchannel. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @tarfandoonchannel as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
4 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
19 hours
Seen missing in the last 30 days
2

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Geph announcements | 迷雾通通知
@gephannounce · 21,517
Telegram ranks this channel #51 of 60 here — alongside 59 others — read 22 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“tarfandoon (Ali Jahani)” (@tarfandoonchannel), 6,708 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/tarfandoonchannel.

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.