Telegram RegisterThe public register of Telegram

Channel

زندگی به عنوان سرویس

@lifeAsAService

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

3,611subscribers

+24 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001711747889
TypeChannel
Username@lifeAsAService
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/lifeAsAService

Growth

3,5873,6113,5996 August 2026 — 3,587 subscribers7 August 2026 — 3,588 subscribers9 August 2026 — 3,611 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net +24. 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 3,583–3,615 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 19:033,611+23
7 Aug 2026, 00:503,588+1
6 Aug 2026, 20:193,587first reading

Engagement

19 posts held, back to 21 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.8%
avg views ÷ 3,611 subscribers
Avg views / post
1,470
19 posts measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 August 2026
Posts held19 (21 July 20263 August 2026)
Views total27,990
Reactions total359
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:07 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
15s
Average length
15s

Measured directly from 1 video 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

359 reactions across 19 posts, in 21 distinct kinds. The most used accounts for 37.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13537.6%
👍10228.4%
🔥3610.0%
👎215.85%
👏92.51%
💔92.51%
🤔71.95%
❤‍🔥51.39%
41.11%
🐳41.11%
👌41.11%
💋41.11%
😁41.11%
🥰41.11%
🍓30.836%
😢30.836%
💯10.279%
🙏10.279%
🤓10.279%
🤝10.279%
1 further kind10.279%

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 19 of the 19 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 359reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 21 July 2026 to 3 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

3 Aug 2026, 13:45 UTC≈1,020 views32 reactionsread 7 August 2026
Video

ساخته‌شده با هوش مصنوعی :) 🆔 @lifeAsAService

🔥254👌1😁1😢1

2 Aug 2026, 19:29 UTC≈1,040 views20 reactionsread 7 August 2026

حلقه بر در کوفتن، ما را ندارد حاصلی... ما دَرِ منزل به روی خود ز بیرون بسته‌ایم! صائب تبریزی #شعر

11💔7💯1🤔1

2 Aug 2026, 14:28 UTC≈1,120 views14 reactionsread 7 August 2026

استخدام Tech Lead – E-commerce & Warehouse Systems برای توسعه یک پلتفرم جامع ایکامرس و سیستم مدیریت انبار، به دنبال یک Tech Lead باتجربه و مسئولیت‌پذیر هستیم که بتواند هدایت فنی تیم و طراحی معماری محصول را بر عهده بگیرد. مسئولیت‌ها: * طراحی معماری مقیاس‌پذیر برای E-commerce، OMS و WMS * هدایت تیم‌های Backend و Frontend و نظارت بر کیفیت خروجی * تصمیم‌گیری درباره ساختار سیستم، دیتابیس، APIها و Integrationها * طراحی

👍83👎3

1 Aug 2026, 12:51 UTC≈1,250 views5 reactionsread 7 August 2026

سلام عزیزان، لطفا مدل‌های STT خوبی که برای زبان فارسی می‌شناسید توی کامنت‌ها معرفی کنید. چیزهایی غیر از whisper و elevenlabs. مدل‌های متن‌باز و تجاری فرقی نداره. اگه هم مدل خوبی رو می‌شناسید که می‌شه با یه فاین‌تیون کیفیتش رو افزایش داد بگید عالیه.

👍4🤝1

30 Jul 2026, 20:24 UTC≈1,500 views10 reactionsread 7 August 2026
File

#music 🆔 @lifeAsAService

6🍓2❤‍🔥1🥰1

28 Jul 2026, 07:15 UTC≈1,810 views10 reactionsread 7 August 2026
Photo

❓چطور یک پروژه نرم‌افزاری رو AI-Friendly کنیم؟ بخش دوم فایل CLAUDE.MD ⭐️ ابزار ClaudeCode برای این که بهتر پروژه رو بفهمه این امکان رو داره که جزئیات پروژه رو از فایلی با نام CLAUDE.MD بخونه. 📼 هدف: افزایش کیفیت و کنترل بیشتر بر روند توسعه‌ی پروژه. ✈️ که منجر می‌شه به: افزایش کیفیت خروجی‌ها، افزایش سرعت توسعه و کاهش هزینه‌ها. یه فایل CLAUDE.MD خوب چطوره؟ ⭐️ ساختار پروژه رو توضیح بدید: باید فانکشنالیتی و سرویس‌ه

5👍4🥰1

26 Jul 2026, 18:48 UTC≈1,590 views18 reactionsread 7 August 2026
Photo

«وقتی بدن نه می‌گوید» این روزها که ترس و اضطراب ناشی از شرایط، بیشتر از هر زمان دیگه‌ای مثل اکسیژن اطراف ما رو فرا گرفته دوست داشتم گریزی بزنم به کتابی که قبلا هم معرفیش کرده‌بودم: «وقتی بدن نه می‌گوید: هزینه‌ی استرس پنهان» این کتاب در مورد بلایی که اضطراب و ترس مزمن به سر ما میاره صحبت می‌کنه. ترس‌هایی که از بچگیمون یا از یه جایی به بعد اینقدر باهامون بودن که دوستمون شدن. گاهی اونقدر صمیمی که نبودشون باعث ناآرامیه

11👍2👏2💔2👎1

26 Jul 2026, 08:08 UTC≈1,260 views5 reactionsread 7 August 2026
Forwarded from @TheNehTPhoto

مدل Opus 5 هم بنظر اومده. بنظر تو یه دامنه خوبی از تسک‌ها از Fable 5 بهتر شده. از اونجا که اکثر تسک‌های روزمره رو با Opus می‌زنم اگه تغییر ملموسی حس کردم در ادامه می‌گم ولی خب بنظر حداقل در اتومیشن که بیشتر استفاده‌م هست بهتر هستش.

👍5

26 Jul 2026, 08:08 UTC≈1,360 views12 reactionsread 7 August 2026
Forwarded from @TheNehT

به مقدار خوبی شبیه Fable 5 شده. ترجیح خودم همون Opus 4.8 بود. یکی از اصلی‌ترین تفاوت‌هایی که دارن اینه که مدل‌های جدیدتر بیشتر به سمت autonomous بودن آموزش داده شدن. قبلا وقتی Opus 4.8 می‌فهمید یه جایی رو داره نمی‌فهمه و مطمئن نیست می‌اومد از یوزر پرامپت می‌گرفت که من نمی‌دونم اینجا رو چیکار کنم هدایتم کن. الان ولی خودش یه تصمیم نسبتا خوبی می‌گیره و طبق اون جلو می‌ره. کمتر هم فلو فکریشو توضیح میده دیگه و داخل ترمینا

👍111

25 Jul 2026, 18:12 UTC≈1,470 views23 reactionsread 7 August 2026

جدی سلامت روان از منوچهر صدری چکه می‌کنه 🔥

9👍4😁3👌2👎2🍓1🤷‍♀1🙏1

24 Jul 2026, 13:36 UTC≈1,410 views24 reactionsread 7 August 2026
Forwarded from @AI_DeepMindPhoto

در مدل جدیدی به اسم bina که برای ocr زبان فارسی فاین تیون کردن با عملکردی خیره کننده نسبت به مدل‌های سطح یک دنیا در رتبه ۱ برتری خودشو نشون داد https://huggingface.co/Reza2kn/Bina-0.1 #متن_باز ☑️ @AI_DeepMind ✅ @AI_Person

🔥11👍75👎1

23 Jul 2026, 12:52 UTC≈2,680 views52 reactionsread 7 August 2026

اگه برنامه‌نویس هستین یا شغلی دارین که پیچیدگی‌های ذهنیش بیشتر از پیچیدگی‌های فیزیکیشه حتما یه سری فعالیت فیزیکی مخصوصا با دست‌ها برای خودتون در نظر بگیرید. مغز انسان اصلا عادت به پیچیدگی‌های ذهنی تا این حد نداشته و براش ناشناخته است برای همین بیش از حد تحت فشار قرار می‌گیره. یکی از راه‌های کاهش این فشار و جلوگیری از فرسودگی اینه که پیچیدگی‌های ذهنی و شناختی رو تبدیل به پیچیدگی‌های فیزیکی و ملموس کنید. این می‌تونه هم

35👍9👏7👎1

Showing the 12 most recent of 19 posts we hold for @lifeAsAService. 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

Citation-graph rank — 436,630 of 1,084,084entries 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.

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 3 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.

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.

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

“زندگی به عنوان سرویس” (@lifeAsAService), 3,611 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/lifeAsAService.

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.