پست اول t.me/Talant_ir/3
اولین کانال اکسل در ایران
"بامدیریت اساتیدحسابداری وکامپیوتر"
@AtaeiTalant تبادل و درج تبلیغ
سایت Talant.ir
گروه ۱
@Excel4Acc
گروه ۲
https://t.me/joinchat/PBnkH22ExGp5_-iS
اینستاگرام instagram.com/talant.ir
Created
Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 26 comparable posts for this entry, running 25 April 2025 to 17 October 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @Talant_ir — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
25 measurements spanning 96 days, net -159. 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 7,417–7,624 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
10 Nov 2026, 04:07
7,441
-7
6 Nov 2026, 07:45
7,448
-8
3 Nov 2026, 07:17
7,456
-4
31 Oct 2026, 04:27
7,460
-2
27 Oct 2026, 17:46
7,462
-9
24 Oct 2026, 07:40
7,471
-3
21 Oct 2026, 08:58
7,474
-5
18 Oct 2026, 08:35
7,479
-7
15 Oct 2026, 03:11
7,486
-4
12 Oct 2026, 07:16
7,490
-21
5 Oct 2026, 09:35
7,511
-18
27 Sept 2026, 12:22
7,529
-13
18 Sept 2026, 01:01
7,542
-4
13 Sept 2026, 21:02
7,546
-6
10 Sept 2026, 00:20
7,552
-9
4 Sept 2026, 13:58
7,561
-1
28 Aug 2026, 19:14
7,562
-1
26 Aug 2026, 02:43
7,563
-3
22 Aug 2026, 22:54
7,566
-5
19 Aug 2026, 11:47
7,571
first reading
Engagement
28 posts held, back to 25 April 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.70%
avg views ÷ 7,441 subscribers
Avg views / post
424
1 post measured
Reaction rate
0.708%
reactions ÷ views · ER floor
Posts in window
1
of 28 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
Window
Rolling 30 days · latest post in window 17 October 2026
Posts held
28 (25 April 2025 – 17 October 2026)
Views total
424
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:17 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.
What this channel posts
Photos
≈671
Videos
≈278
Links
≈1,340
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
24m 58s
Average length
3m 07s
Measured directly from 8 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
56 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 69.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
39
69.6%
🙏
7
12.5%
👍
5
8.93%
👏
3
5.36%
👌
2
3.57%
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 22 of the 28 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 25 April 2025 to 17 October 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
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) 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).
ساخت برنامه های کاربردی با هوش مصنوعی
✳ دوستان حسابدار میتونید بهای تمام شده شرکتتون رو با هوش مصنوعی به سادگی محاسبه کنید
✳ بدون حتی دانش برنامه نویسی میتونید هر برنامه ای رو بسازین
🔴 برای دریافت اطلاعات دوره به آی دی زیر پیام بدید
@YaserTaherkhani
@Excel_Salam
@Talant_ir
ساخت برنامه های کاربردی شغل خودت بدون برنامه نویسی در کمترین زمان
اگه ایده هایی برای ساخت برنامه داری میتونی توی دوره "ساخت برنامه با هوش مصنوعی" شرکت کنی و کارهات رو سبک تر کنی
برای دریافت اطلاعات کلمه ai رو به آی دی زیر ارسال کنید
@YaserTaherkhani
.
✅ فنی کارها هم میتونن پروژه هاشون رو مدیریت کنن
✅ میتونی این مهارت رو یاد بگیری و برای افراد مختلف برنامه کاربردی با هوش مصنوعی بسازی و کسب درآمد کنی
برای دریافت اطلاعات به آی دی زیر پیام بدید
@YaserTaherkhani
#هوش_مصنوعی #داشبورد
حتی تکنسین های فنی هم میتونن برنامه های کاربردی برای شغل خودشون و با سلیقه و نیاز خودشون بسازن
برای این افراد، این شما هستید که میتونید برنامه بسازید ودر اختیارشون بذارید و کسب درآمد کنید
اگه قصد داری ساخت برنامه های کاربردی با هوش مصنوعی رو یاد بگیری و در یک زمان کوتاه هر برنامه ای رو بسازی کافیه به ID زیر دایرکت بدی:
@YaserTaherkhani
.
دوره آموزشی ساخت برنامه های کاربردی با هوش مصنوعی
بعد از یادگیری مباحث این دوره میتوانید در کمتر از ۲۴ ساعت برنامه موردنیاز خودتون رو بسازید
فرقی نمیکنه که چه شغلی دارید و در چه حوزه ای کار می کنید
منابع انسانی
حسابداری
تولید
برنامه ریزی
انبار
لجستیک
حراست
و ....
برای یادگیری این آموزش به آی دی زیر پیام بدید:
@YaserTaherkhani
.
دوره ساخت برنامه های کاربردی با هوش مصنوعی
یاد بگیر و کمتر از ۲۴ ساعت برنامه دلخواهت رو بساز
برای کسب اطلاعات و ثبت نام به ID زیر پیام بدید
@yasertaherkhani
صورتحساب موضوع ماده 9 یکی از ابزارهای مهم در قانون پایانههای فروشگاهی و سامانه مودیان است که برای جبران تأخیر در ارسال صورتحساب طراحی شده است.
اگر صورتحساب یک معامله در موعد مقرر به سامانه ارسال نشده باشد هنوز هم میتوان آن را ثبت کرد و این کار از طریق روش ماده 9 انجام میشود. در این روش تاریخ صدور باید همان تاریخ واقعی انجام معامله باشد و تاریخ ثبت نیز زمان واقعی ارسال به سامانه خواهد بود.
این نوع صورتحساب در همه ا…
ساخت نرم افزار سفارشی برای کسب و کارها بدون دانش برنامه نویسی
شما میتونید برای یه سری کارهایی که دارید برنامه شخصی بسازید و ازش به صورت فردی یا گروهی استفاده کنید
فرقی نمیکنه توی چه فیلدی کار ی کنید:
حسابداری
فروش
بازاریابی
تولید
برنامه ریزی
شغل آزاد
یا هر جای دیگه
اگه میخواین نحوه ساخت برنامه های سفارشی رو یاد بگیرید کافیه که زیر این پست توی اینستاگرام کلمه "آزمون" رو بفرستید
https://www.instagram.com/reel/Db2ci…
🔴 برنامه مدیریت تکالیف مالی
یک برنامه فوق العاده جهت مدیریت تکالیف یک سال مالی حسابداران
قابلیت های برنامه:
✅ امکان مدیریت تکالیف چند شرکت
✅ تعریف هوشمند نوع تکلیف با سررسید
✅ تعریف زمان یادآوری تکالیف
✅ ایجاد تکالیف گروهی یک سال مالی
✅ یادآوری تکالیف نزدیک به سررسید هنگام اجرای برنامه
✅ ارجاع تکالیف به کاربران مجاز شرکت ها
✅ مشاهده تاریخچه انجام تکالیف
لینک مشاهده ویدئوی معرفی برنامه در آپارات:
مشاهده ویدئو
❌…
📌 مدیریت چکهای پرداختی بدون دردسر!
اگر ثبت، پیگیری و کنترل چکهای پرداختی برای شما زمانبر و پراشتباه شده، این برنامه دقیقاً برای شما طراحی شده است.
✅ صدور سریع چک در چند ثانیه
✅ تغییر آسان وضعیت چکها
✅ کنترل و پیگیری سررسیدها
✅ دسترسی سریع به سوابق هر چک
✅ کاهش خطاهای انسانی و فراموشی سررسیدها
با یک محیط ساده و کاربردی، مدیریت چکهای شرکت را حرفهایتر انجام دهید.
🎥 مشاهده فیلم معرفی:
لینک مشاهده
@excel_sala…
📊 وبینار رایگان نکات تحلیلی حذف فاکتور های کاغذی از دو دیدگاه مالیات و حسابرسی تأمین اجتماعی
فاکتور کاغذی حذف نشده است،
اما نقش آن در رسیدگیهای مالیاتی و بیمهای تغییر کرده است.
هزینهای که در مالیات عملکرد پذیرفته میشود،
ممکن است در حسابرسی تأمین اجتماعی منجر به بدهی شود.
🎯در این وبینار موارد زیر بررسی می شود:
✔️جایگاه فاکتور کاغذی در مالیات عملکرد
✔️تفکیک هزینه قابل قبول و اعتبار مالیات بر ارزش افزوده
✔️شرایط پ…
تهران سعادت آباد
یک شرکت بازرگانی در حوزه نفت و گاز، پتروشیمی-
نیازمند به یک کارشناس مالی و کارشناس ارشد نیازمندیم.
پیش نیازها:
آشنایی با اصول و نرم افزارهای حسابداری
آشنایی با اکسل
تهیه صورتهای مالی
مغایرتگیری بانکی
تنظیم اظهارنامههای مالیاتی
روحیه کار تیمی و تعامل قوی
تعهد بالا در اجرای امور محوله
دقت نظر بالا
منظم و پیگیر
دارای انگیزه و روحیه پیشرفت در کار
شرح وظایف و مسئولیتها :
1- انجام امور مالیاتی
2- ارا…
❤1
Signed حسین
Showing the 12 most recent of 28 posts we hold for @Talant_ir. 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.
Forward network
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.
Mentions
Named by 2 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Talant_ir named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@tdacore_com named in 8 posts, 8 August 2026 – 9 November 2026
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.
حرفه ای شو اکسل | Power BI @herfeish0 · 48,036 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 27 August 2026
مهارت های اکسل @excel_skills · 37,529 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 1 September 2026
آموزش اکسل | Ms Excel @VBA_Excel · 102,806 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 15 August 2026
آموزش ورد | Ms Word @Word_VBA · 30,506 Telegram ranks this channel #13 of 72 here — alongside 71 others — read 7 September 2026
بایگانی فایل های حسابداری ، حسابرسی و مالیاتی @fileaccunting · 73,787 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 19 August 2026
حسابداری و مالیات | فایل های آموزشی @modiriat_hesabdari95 · 51,454 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 24 August 2026
دانستنی های مالیاتی @danestanihaiemalyati · 30,610 Telegram ranks this channel #37 of 70 here — alongside 69 others — read 7 September 2026
مرجع آموزش زبان ایرانیان @irlanguagecom · 21,459 Telegram ranks this channel #61 of 83 here — alongside 82 others — read 25 September 2026
استخدام حسابداری @estekhdamacc · 22,462 Telegram ranks this channel #67 of 83 here — alongside 82 others — read 20 September 2026
خانه حسابداری l مالیات @Accounting_House · 68,877 Telegram ranks this channel #72 of 92 here — alongside 91 others — read 20 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“تالانت” (@Talant_ir), 7,441 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Talant_ir.
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.