Channel
@karli_team
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
73subscribers
+27 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003271074641 |
|---|---|
| Type | Channel |
| Username | @karli_team |
| Created | 26 October 2025 — measured — dated from the channel’s first post |
| First recorded | 14 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/karli_team |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:56 | 73 | +27 |
| 14 Aug 2026, 01:16 | 46 | first reading |
8 posts held, back to 26 October 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 13 August 2026 |
|---|---|
| Posts held | 8 (26 October 2025 – 13 August 2026) |
| Views total | 1,740 |
| Reactions total | 62 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 01:16 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.
62 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 62 | 100.0% |
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 7 of the 8 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 62reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 October 2025 to 13 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.
✨ هوش مصنوعی قرار نیست معجزه کنه 🕵️♂️چیزی که در نهایت باعث استخدام شما میشه، تجربه و مهارتهای خودتونه. 💫هوش مصنوعی فقط کمک میکنه این ارزشها توی رزومه به بهترین شکل ممکن به کارفرما نشون داده بشه. ✅پس همیشه نتایج نهایی هوش مصنوعی رو چک کنید و واقعی بودن اطلاعات رو الویت قرار بدید. کارلی| از رزومه تا شغل ایده آل🧡 @karli_team
❤7
🧠 هوش مصنوعی کارلی تا اینجا فهمیدیم هوش مصنوعی برای رزومه نویسی میتونه خیلی کمک کننده باشه ولی به شرطی که ازش درست و اصولی استفاده بشه. هوش مصنوعی کارلی بدون نیاز به نوشتن حتی یک خط پرامپت میتونه به صورت هوشمند رزومه شما رو تا ۷۰٪ ارتقا بده و این یعنی احتمال استخدام شدن شما به صورت چشمگیری زیاد میشه. هوش مصنوعی کارلی میتونه: ✅ متن رزومه رو واضح و حرفهای میکنه. 🎯 مهارتها و تجربههاتون رو دستهبندی میکنه. …
❤9
🤖مزایای رزومهنویسی با هوش مصنوعی تا چند سال پیش، از ویرایش عکس گرفته تا ترجمه متن رو باید خودمون تنهایی انجام میدادیم؛ اوج کمک و تقلبی هم که داشتیم سرچ کردن توی گوگل بود . 🎯 اما امروز هوش مصنوعی خیلی از این کارها رو سریعتر انجام میده و قطعا رزومهنویسی هم از این قاعده مستثنی نیست. هوش مصنوعی میتونه کمک کنه تا: 🔹 تجربهاتون رو از زاویه حرفهایتری بیان کنید 🔹 دستاوردها و تواناییهایی که شاید شما نادیده گرفتی…
❤9
📝چرا رزومه داشتن مهمه؟ رزومه، اولین تصویریه که توی ذهن کارفرما از ما ساخته میشه و همیشه اولین تصویر موندگارترین تصویره. علاوه بر این داشتن یه رزومه حرفهای باعث میشه: ✅ مهارتها و تجربههات واضح و هدفمند نشون داده بشه ✅ شانس دیده شدنت از بقیه بیشتر بشه ✅ مسیر رسیدنت به شغل ایده آل کوتاهتر بشه ✅ توی ذهن کارفرما یه فرد حرفهای و قابل اعتماد دیده بشی 🗝یادت باشه، یه رزومه خوب، کلید ورودت به فرصتهای شغلی به…
❤11
📍چرا کارلی رو انتخاب کنیم؟ چون با کارلی میتونید ... ✅ فقط توی ۱۰ دقیقه رزومهتون رو آماده کنید. 🎯 رزومهای بسازید که با سیستمهای ATS سازگار باشه. 🌍 رزومهتون رو هم به زبان فارسی و هم به زبان انگلیسی بسازید. 🤖 با کمک هوش مصنوعی، رزومهتون رو ارتقا بدید. 🎨 از بین کلی قالب متنوع، مناسبترین گزینه رو انتخاب کنید. ✨ ظاهر رزومهتون رو با توجه به سلیقه و حیطه کاریتون شخصیسازی کنید. 📝 حتی بعد از چند سال هم میتون…
❤7
✨ کارلی چطور متولد شد؟ 🔸 کارلی از رد شدن رزومهها متولد شد 🔸 از ساعتهای طولانی برای نوشتن رزومه 🔸 با از دست رفتن موقعیتهای شغلی محبوب و کارلی دقیقا از روزی متولد شد که حتی متخصصها هم برای نوشتن رزومه به بنبست خوردن. 📍 ما توی کارلی تونستیم استانداردترین ساختار رو برای رزومه نویسی پیاده سازی کنیم، تا سختترین مرحله استخدام برای همه سادهتر بشه. 🌐 مشاهده کارلی کارلی| از رزومه تا شغل ایده آل🧡 @karli_team
❤8
🟠 حداقل یکبار این اتفاق براتون افتاده... با شغل موردعلاقهتون، فقط به اندازه ارسال یه رزومه فاصله داشتین. ساعتها وقت گذاشتین، کلی آموزش دیدین، ولی آخرش... 🔸 با یه نگاه، رزومهتون رد شده❌ 🔸 شغل موردعلاقهتون از دست رفته 🔸 احساس ناکافی بودن، کل وجودتون رو گرفته🥀 و اون لحظه فقط یک جمله توی ذهنتون تکرار شده: «حتماً رزومهام به اندازه کافی خوب نبوده.» ما کارلی رو ساختیم تا دیگه ساختن یه رزومه حرفهای سخت نباشه و…
❤11
Channel created
Showing the 8 most recent of 8 posts we hold for @karli_team. 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 — 913,294 of 1,481,243entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Karli” (@karli_team), 73 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/karli_team.
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.