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Telegram profile photo for متین سیستم

Channel

متین سیستم

@matinsiistem

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

21,218subscribers

-611 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002015725361
TypeChannel
Username@matinsiistem
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/matinsiistem

Topic

Software piracy — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@matinword/20412 Aug 2026, 13:58 UTC@matinsiistem/4116 · this entry2 Aug 2026, 14:11 UTC1.0013 minutes
@matinword/20432 Aug 2026, 18:34 UTC@matinsiistem/4117 · this entry2 Aug 2026, 18:35 UTC1.00under a minute
@matinword/20483 Aug 2026, 22:36 UTC@matinsiistem/4118 · this entry3 Aug 2026, 22:37 UTC1.00under a minute
@matinword/20575 Aug 2026, 10:48 UTC@matinsiistem/4120 · this entry5 Aug 2026, 10:50 UTC1.002 minutes
@matinword/20636 Aug 2026, 12:40 UTC@matinsiistem/4121 · this entry6 Aug 2026, 12:44 UTC1.005 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@matinword11 (8/8 hand-verifiable sample passed)1.002 minutes@matinword (11–0)

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. 5 of the 10 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 22 comparable posts for this entry, running 25 July 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @matinword. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

21,21821,82921,523.57 August 2026 — 21,829 subscribers7 August 2026 — 21,829 subscribers8 August 2026 — 21,815 subscribers9 August 2026 — 21,808 subscribers10 August 2026 — 21,793 subscribers11 August 2026 — 21,786 subscribers12 August 2026 — 21,777 subscribers13 August 2026 — 21,755 subscribers15 August 2026 — 21,723 subscribers16 August 2026 — 21,709 subscribers17 August 2026 — 21,697 subscribers18 August 2026 — 21,662 subscribers20 August 2026 — 21,649 subscribers20 August 2026 — 21,642 subscribers22 August 2026 — 21,618 subscribers23 August 2026 — 21,588 subscribers25 August 2026 — 21,574 subscribers26 August 2026 — 21,559 subscribers27 August 2026 — 21,533 subscribers28 August 2026 — 21,516 subscribers29 August 2026 — 21,497 subscribers30 August 2026 — 21,483 subscribers31 August 2026 — 21,473 subscribers1 September 2026 — 21,457 subscribers2 September 2026 — 21,444 subscribers3 September 2026 — 21,414 subscribers5 September 2026 — 21,389 subscribers8 September 2026 — 21,335 subscribers11 September 2026 — 21,315 subscribers13 September 2026 — 21,292 subscribers14 September 2026 — 21,272 subscribers16 September 2026 — 21,254 subscribers18 September 2026 — 21,218 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net -611. 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 21,126–21,921 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 20:5721,218-36
16 Sept 2026, 13:4121,254-18
14 Sept 2026, 18:1821,272-20
13 Sept 2026, 05:0121,292-23
11 Sept 2026, 08:1521,315-20
8 Sept 2026, 16:2121,335-54
5 Sept 2026, 09:4021,389-25
3 Sept 2026, 14:5821,414-30
2 Sept 2026, 09:1321,444-13
1 Sept 2026, 08:5321,457-16
31 Aug 2026, 07:3621,473-10
30 Aug 2026, 04:0421,483-14
29 Aug 2026, 05:2421,497-19
28 Aug 2026, 01:5421,516-17
27 Aug 2026, 03:1521,533-26
26 Aug 2026, 01:5521,559-15
25 Aug 2026, 04:1321,574-14
23 Aug 2026, 22:0521,588-30
22 Aug 2026, 07:1521,618-24
20 Aug 2026, 22:3521,642first reading

Engagement

79 posts held, back to 25 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 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.27%
avg views ÷ 21,218 subscribers
Avg views / post
694
22 posts measured
Reaction rate
0.839%
reactions ÷ views · ER floor
Posts in window
22
of 79 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 3 September 2026
Posts held79 (25 July 2026 – 3 September 2026)
Views total15,263
Reactions total128
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 15:56 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.

Reaction mix

472 reactions across 78 posts, in 11 distinct kinds. The most used accounts for 44.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤20944.3%
💔7616.1%
👍7515.9%
🔥326.78%
🤣275.72%
👌265.51%
🤯91.91%
😁71.48%
😢51.06%
👏40.847%
👾20.424%

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 78 of the 79 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 472 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 25 July 2026 to 3 September 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

3 Sept 2026, 10:21 UTC226 views2 reactionsread 3 September 2026
Photo

پرامپتی که عکساتو رویایی میکنه: First, intelligently analyze the scene and determine whether it can naturally support a rare atmospheric twilight phenomenon. If physically believable, recreate the extremely rare "After-Rain Twilight Spectrum" that appears only under perfect humidity shortly after sunset. Blend deep cobalt blue, rich sapphire, soft periwinkle, muted violet, lavender haze, cool moonlit cyan, and a sub…

❤1👍1

2 Sept 2026, 14:13 UTC482 views16 reactionsread 3 September 2026
Photo

هر بار رفرش میکنیم یه طبقه فقیرتر میشیم

💔13👍3

2 Sept 2026, 12:01 UTC486 views3 reactionsread 3 September 2026
Photo

هرکی با لینک دعوت شما وارد ربات بشه هر بار که خرید بزنه ۲۰ هزار تومن کیف پول شما شارژ میشه آیدی ربات خرید فیلترشکن 👇 @matinsistemvpnbot

❤2👌1

2 Sept 2026, 10:36 UTC506 views6 reactionsread 3 September 2026

⚡️ بهترین هوش‌های مصنوعی ویدیو‌ساز و کاربرد آن‌ها: Grok: مناسب برای ساخت ویدیو با چهره افراد مشهور و سلبریتی‌ها بدون گیر دادن و محدودیت. Veo3: بهترین انتخاب برای خلق ویدیوهایی با نور، صدا، حرکات و دیالوگ‌های کاملاً واقعی. Omni: درک فوق‌العاده از جزئیات، مخصوص زمانی که پرامپت (دستور) طولانی و پیچیده‌ای برای تولید ویدیو داری. Kling Motion: تبدیل سریع عکس‌های معمولی به ویدیوهای متحرک و جذاب. Kling 2.5 Turbo: سرعت پرداز…

👌3❤2🔥1

31 Aug 2026, 16:23 UTC575 views2 reactionsread 3 September 2026

کاربردهای دکمه windows کامپیوتر عکس گرفتن از صفحه نمایش فیلم گرفتن از صفحه نمایش قفل صفحه کلیپ‌بورد سیستم و ۵۰ شورتکات دیگه.. آموزش در پست جدید اینستاگرام 👇 https://www.instagram.com/reel/DctT-JpxWML/?igsi=ZW9lcGZ2Y2ZwdWF3

❤1🔥1

31 Aug 2026, 11:40 UTC602 views2 reactionsread 3 September 2026

🔥اشتراک‌های اختصاصی انواع هوش‌مصنوعی‌ها 📱 Gemini Pro 1 ماهه: 590 🩵 1 سال : 5,780 🩵 18 ماهه: 987 ( یک ماه گارانتی ) 🩵 📱 ChatGPT Plus 1 ماهه: 5,570 📱 ChatGPT business 1ماهه: 3,980 🩵 📱 ChatGPT Go 1 ماه: 1,870 📱 Claude Pro 1 ماهه: 5,570 📱 Super Grok 1هفته: 997 1 ماهه: 6,870 🖱 Perplexity Pro 1 ماهه: 2,870 ✔️تمامی سرویس ها اختصاصی هستند ✔️فعالسازی روی ایمیل شخصی 💛محصولات جذاب دیگر 📹 YouTube premium 🤩 (490) 📱 Netfli…

❤1👍1

31 Aug 2026, 08:43 UTC568 views3 reactionsread 3 September 2026
Photo

یک پرامپت برای افزایش کیفیت عکس Remaster the provided image into a flawless, 8K ultra-photorealistic masterpiece. STRICT REQUIREMENT: Maintain absolute 100% fidelity to the original. The subject's identity, exact facial features, micro-expressions, pose, wardrobe, and the entire background composition must remain perfectly intact with zero hallucinations or added elements. Deeply enhance micro-textures: restore auth…

❤1👍1😁1

30 Aug 2026, 14:02 UTC681 views5 reactionsread 3 September 2026
Photo

کارت ویزیت مخصوص شغلت رو بساز: پرامپت زير مخصوص ساخت كارت ويزيت خلاقانه شماست لطفا پرامپت رو حتما با دقت بخونيد قسمت هايي⭕️ بايد شما اطلاعات كامل خودتون رو اضافه كنيد و داخل chat gpt وارد كرده و بسازيد این پرامپت می‌گه برای یک شغل خاص، به‌جای طراحی یک کارت ویزیت مستطیلی معمولی، خودِ کارت ویزیت را به یک شیء خلاقانه و مرتبط با آن شغل تبدیل کن؛ طوری که مخاطب فقط با دیدن شکل و مکانیزم کارت، شغل فرد را متوجه شود. ⸻ یک …

❤3🔥2

29 Aug 2026, 08:47 UTC815 views4 reactionsread 3 September 2026
Photo

پرامپت اصلاح رنگ و نور عکس Apply a rich, natural photorealistic color grade to the attached photograph, along with a restore-and-enhance pass to increase overall quality while preserving every detail exactly as captured. Preserve the original image exactly as captured — same framing, same composition, same subjects, same geometry — with no re-imagining, no repositioning, and no invented or hallucinated detail. This …

❤3🔥1

28 Aug 2026, 22:20 UTC880 views34 reactionsread 3 September 2026
Photo

دو سال پیش توی همچنین روزی همستر تبدیل به پول شد و همه مارو از فقر و بدبختی نجات داد... ربات تلگرام جهت خرید فیلترشکن 👇 ✅ @matinsistemvpnbot

🤣27😁3❤2💔2

28 Aug 2026, 16:10 UTC798 views4 reactionsread 3 September 2026

سرورهای ۱۰ تا ۳۰ گیگ open vpn مجدد به ربات اضافه شدن✅ ربات تلگرام جهت خرید فیلترشکن 👇 ✅ @matinsistemvpnbot

❤2👍2

28 Aug 2026, 10:37 UTC878 views6 reactionsread 3 September 2026
Photo

🔥جزوه نوشتن تاحالا از این راحت تر نبوده! 📰سال تحصیلی جدید داره کم کم شروع میشه و این پست رو هم برای دانشجوها و دانش‌آموزان مینویسم ؛ دیگه لازم نیست ساعت‌ها برای نوشتن یک جزوه وقت بذارید! ❔خب پس چیکار کنیم؟! 1️⃣وارد سایتی که انتهای این پست میذارم بشید ، زبان رو روی فارسی قرار بدید و میکروفونتون رو فعال کنید. 2️⃣حالا همزمان که استاد توی کلاس حرف میزنه ، سایت SpeechTexter هم صحبت هاش رو با دقت 100% به متن تبدیل می‌ک…

👍3🔥2❤1

Showing the 12 most recent of 79 posts we hold for @matinsiistem. 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

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.

Mentions

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#56
Work North America 🇨🇦
@Work_North_America · 918
#57
فانیکس | FUNXHAVADARI
@funxhavadari · 600 (as read 24 September 2026)
#58
هواداری | Havadari
@havadari_official · 2,606
#59

Read from Telegram’s recommendation API, most recently 24 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

matin sistem | متین سیستم
@matinword · 25,269
Telegram ranks this channel #1 of 62 here — alongside 61 others — read 14 September 2026
جادوی پاورپوینت
@jadoyepowerpoint · 24,838
Telegram ranks this channel #19 of 89 here — alongside 88 others — read 15 September 2026
آموزش انگلیسی با آرش نیا
@Essential_word · 22,200
Telegram ranks this channel #44 of 59 here — alongside 58 others — read 21 September 2026

This channel appears in 3 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“متین سیستم” (@matinsiistem), 21,218 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/matinsiistem.

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.