2 measurements taken within a single day. 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 939–941 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 23:46
940
no change
6 Aug 2026, 23:33
940
first reading
Engagement
19 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
37.6%
avg views ÷ 940 subscribers
Avg views / post
354
19 posts measured
Reaction rate
1.30%
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. It is computed over the 11 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
19 (25 July 2026 – 5 August 2026)
Views total
6,720
Reactions total
55
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 23:46 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
150
Videos
17
Links
115
Lifetime counters from Telegram’s own channel header, read 6 August 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
55 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 32.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
18
32.7%
🔥
14
25.5%
❤
11
20.0%
👏
7
12.7%
😁
4
7.27%
💔
1
1.82%
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 11 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 55reactions 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 25 July 2026 to 5 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.
ارزانتر از DeepSeek؛ اما با چه قیمتی؟!
متا نسخه جدید Muse Spark 1.2 را منتشر کرده؛ یک آپدیت متمرکز بر کدنویسی و کارهای Agentic که برای تولید و دیباگ کد، درک کدبیسهای بزرگ و انجام تسکهای طولانی مهندسی نرمافزار بهینه شده است. این مدل کانتکست یکمیلیونتوکنی دارد و موتور مدل جدید Muse Code، ایجنت ترمینالی متا برای انجام پروژههای نرمافزاری، هم هست.
اما شاید جالبترین بخش انتشار آن، نه خود مدل، بلکه مدل قیمتگذار…
سرورهای GPU رومیزی مثل DGX Spark کمکم دارند از یک اسباببازی گرانقیمت به زیرساختی واقعاً جدی تبدیل میشوند.
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این عدد از API رسمی DeepSeek سریعتر نیست؛ API خود DeepSeek در تستهای مستقل حدود ۱۰۴ توکنبرثانیه خروجی میدهد. جذ…
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بیشتر ما هنگام مقایسه قیمت API مدلها فقط دو ستون را میبینیم: Input Price و Output Price
در این جدول هم تقریباً همهچیز عادی به نظر میرسد. خود DeepSeek و چند پروایدر دیگر، ورودی را حدود ۰.۱۴ دلار و خروجی را حدود ۰.۲۸ دلار بهازای هر یک میلیون توکن قیمتگذاری کردهاند.
اما ستون مهمتر برای مصرف واقعی Agentها، ستون سوم است: Cache Read Price
خود DeepSeek برای هر یک میلیون…
قیمت ورودی و خروجی بیشتر پروایدرها تقریباً همان قیمت مستقیم DeepSeek است:
ورودی ۰.۱۴ دلار و خروجی ۰.۲۸ دلار.
اما توکن کششده را ۰.۰۲۸ دلار حساب میکنند؛ درحالیکه خود DeepSeek همان توکن را ۰.۰۰۲۸ دلار میفروشد. یعنی دقیقاً ۱۰ برابر.
با ChatGPT شوخی نکنید
چند روز پیش داشتم با Hermes روی سرور، یکسری تست باگبانتی انجام میدادم. با خیال راحت فکر میکردم مدل فعال DeepSeek است؛ چون خودم Hermes را برای استفاده از یک پروایدر رایگان DeepSeek روی Infrex تنظیم کرده بودم.
وسط کار دو بار پیام مربوط به Cyber Abuse گرفتم، ولی خیلی جدی نگرفتم. چند ساعت بعد این ایمیل آمد:
اکانت شما بهدلیل فعالیت مرتبط با سوءاستفاده سایبری غیرفعال شده و دیگر قابل استفاده نی…
ماه قبل از من NueralWatt یک اشتراک ۵۰ دلاری گرفتم
با پنجاه دلار به اندازهی ۱۳۰ دلار تونستم خرج کنم(یعنی اگر اون میزان توکنی که صرف کردم رو بصورت API Key مستقیم میخریدم میشد ۱۳۰ دلار)
و حدود یک میلیارد توکن مصرف کنم
البته نورالوات بیزینس مدل کاملا متفاوتی داره و به شما توکن نمیفروشه بلکه توان مصرفی رو میفروشه به بیان ساده بر حسب برق مصرفی برای شما فاکتور میکنه.
هر کیلووات رو ۵ دلار میفروشه.
در پلن ماه قبل ب…
گروک build اومده یه پلاگین اضافه کرده به اسم resume claude
یعنی هر موقع آستانه مصرفت تموم شد منتظر نمون من رو به عنوان بکآپ خودت در نظر بگیر و من همون session رو ادامه میدم.
بازار یابی از طریق یک پلاگین ساده:)
در حالی که همه از کاهش قیمت مدلهای چینی حرف میزنند، نکته مهم و کمتر گفتهشده اینه که OpenAI امروز قیمت GPT-5.6 Luna رو ۸۰٪ و Terra رو ۲۰٪ کاهش داد + حالت Fast برای Sol با ۲٫۵ برابر سرعت. Auto-review هم با Luna حدود ۱۰ برابر ارزانتر شده. این حرکتها نتیجه بهینهسازیهایی هست که خودشون با GPT-5.6 Sol روی مدلهاشون انجام دادن. یعنی رقابت فقط از سمت چین نیست؛ OpenAI هم داره مرز قیمت-عملکرد رو با قدرت جلو میبره و هوش …
مدل GPT-5.4 در حالت xhigh امتیاز ۵۱ گرفت، دقیقاً جایی که Luna max امروز نشسته. هزینه GPT-5.4 برابر $۲.۵۰/$۱۵ هست؛ Luna حالا $۰.۲۰/$۱.۲۰ هزینه داره. به عبارت دیگه، تقریباً چهار ماه بعد، OpenAI هوش پرچمدار کامل ماه مارس رو با حدود یکسیزدهم قیمت توکن میفروشه.
Showing the 12 most recent of 19 posts we hold for @tweetdev. 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 — 246,313 of 1,169,250entries 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.
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“Dev Tweet” (@tweetdev), 940 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/tweetdev.
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.