♨️ ترفند Memory Boost در ChatGPT | کاری کن Ai بهترین جوابهارو بهت بده! ▪️خیلیها نمیدونن ChatGPT یه قابلیت پنهان داره که میتونی با چند فرمان ساده، هوش مدل رو تا چند درجه ارتقا بدی ، بدون هیچ تنظیم خاصی! اسم این تکنیک: Memory Boost Prompting هست ▪️اگه قبل از پرسیدن سؤال، ۲ تا جمله کوتاه به مدل بدی، مغزش وارد حالت تمرکز میشه و جوابها منسجمتر، دقیقتر و کمتر اشتباهه! 🛠 روش استفاده قبل از سؤال اصلی، اینها رو بزن …

Channel
skillswap.ir
@skillswap_ir
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
88subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003947113632 |
|---|---|
| Type | Channel |
| Username | @skillswap_ir |
| Description | skillswap.ir گروه اسکیل سوآپ برای اشتراک گذاری مطالب و مهارت ها: https://t.me/skillswap_group چنل بله مون: https://ble.ir/skillswap |
| Created | Between 1 April 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/skillswap_ir |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 15:45 | 88 | no change |
| 7 Aug 2026, 19:31 | 88 | first reading |
Engagement
19 posts held, back to 30 June 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
- 54.8%
- avg views ÷ 88 subscribers
- Avg views / post
- 48.3
- 12 posts measured
- Reaction rate
- 4.23%
- reactions ÷ views · ER floor
- Posts in window
- 13
- 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 5 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 19 (30 June 2026 – 8 August 2026) |
| Views total | 579 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 15:45 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
- 26
- Videos
- 2
- Links
- 14
Lifetime counters from Telegram’s own channel header, read 9 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.
- Video runtime
- 53s
- Average length
- 53s
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
23 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 34.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 34.8% | |
| ❤ | 7 | 30.4% | |
| 🔥 | 6 | 26.1% | |
| 👏 | 2 | 8.70% |
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 8 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 23reactions 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 30 June 2026 to 8 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
🔐 قبل از Production، امنیت پروژه رو جدی بگیر قبل از دیپلوی، فقط بالا اومدن برنامه کافی نیست. این چند مورد رو چک کن: 1️⃣ اطلاعات محرمانه داخل کد نباشن کلیدهای API، رمز دیتابیس و توکنها رو با متغیرهای محیطی مدیریت کن. 2️⃣ پکیجهای وابسته رو بررسی کن پکیجهای قدیمی میتونن ریسک امنیتی ایجاد کنن؛ قبل از دیپلوی آپدیت و بررسیشون کن. 3️⃣ دسترسی دیتابیس محدود باشه دیتابیس، یوزرها و connectionها نباید بیشتر از نیاز پروژ…
یک #موقعیت_شغلی ریموت داریم، استراتژیست محتوا و کپیرایتر انگلیسی (پروژهای/دورکاری) ما به فردی نیاز داریم که صرفاً مترجم نباشد، بلکه به "فروش از طریق کلمات" تسلط داشته باشد. شما قرار است با خلق محتوای انگلیسیِ یونیک، بدون نقص و سئوشده، ارزش واقعی محصولات ما را به مخاطب بینالمللی نشان دهید. مهارتهایی که انتظار داریم: تسلط کامل به نگارش زبان انگلیسی (Native-like) با دایره لغات بالا. آشنایی با لحن و کپیرایتینگ برند…
🤖 از هر AI دقیقاً چی بگیریم که پروژه به فنا نره؟ اینکه کل پروژه رو بدی دست یک ابزار و بگی همهشو بساز، معمولاً نتیجهاش میشه تغییرات اضافی، باگ جدید و کدی که کنترلش سختتره. هر AI برای یک مدل کار بهتره؛ پایین خیلی کوتاه گفتیم برای هر نیاز، سراغ کدوم ابزار بری:
• اگه میخوای بفهمی مشکل از کجاست، برو سراغ Claude Code. • اگه میخوای چند فایل رو تغییر بدی و تغییرات رو ببینی، برو سراغ Cursor. • اگه باگ بین API، دیتابیس و چند فایل پخش شده، از Claude Code کمک بگیر. • اگه تغییر کوچیک مثل فرم، کامپوننت یا استایل داری، از Cursor استفاده کن. • اگه یه تسک کامل مثل ساخت ثبتنام و نوشتن تست داری، برو سراغ Codex. • اگه چند کار مستقل رو میخوای همزمان جلو ببری، از Codex استفاده کن. …
🟣 قبل از شروع طراحی، اول یه نمونه اولیه بساز! اینطوری قبل از اینکه چند روز وقت بذاری، کارفرما ساختار و مسیر کلی سایت یا اپ رو میبینه و تأیید میکنه. نتیجه چی میشه؟ اصلاحیههای کمتر و دیگه خبری از جمله "من یه چیز دیگه میخواستم" نیست! 📲 پایین سه ابزار کاربردی معرفی کردم:
🔵 سه ابزار خوب برای ساخت نمونه اولیه: 🔹 Uizard برای ساخت سریع چند صفحه از روی توضیح متنی https://uizard.io 🔹 Visily برای طراحی وایرفریم از روی متن، طرح دستی یا اسکرینشات https://www.visily.ai 🔹 Figma Make برای ساخت نمونه تعاملی و قابل کلیک https://www.figma.com/make/ 🔁 @skillswap
❤2
قبل از اینکه بری سمت ابزارها و دورههای عجیب غریب، یه لحظه این رودمپ رو ببین. 👀 خیلیا از همون اول میرن سراغ کالی لینوکس و متاسپلویت، بعد دو هفته میفهمن هنوز فرق IP و DNS رو درست بلد نیستن! 😅 اگر واقعاً میخوای وارد دنیای هک و امنیت بشی، از پایه شروع کن: 🐧 لینوکس، 🌐 شبکه، 💻 برنامهنویسی و بعد امنیت. همین مسیر ساده، فرق بین کسیه که فقط اسم ابزارها رو بلده با کسی که واقعاً میدونه داره چیکار میکنه. 📌 این پست رو ذخیره …
ایده ساخت USB یه داستان نوستالژی رو از زبان خود سازنده USB بشنوید ... #USB #technologia #computer 🔁 @skillswap_ir
❤5
تا همین چند ماه پیش، فکر میکردم هوش مصنوعی فقط برای کارهای عجیب و غریب یا فیلمهای علمی-تخیلی ساخته شده! اما وقتی حجم کارهای تکراری سایت و مدیریت فروشگاه داشت وقتِ خلاقیتم رو میگرفت، تصمیم گرفتم با AI آشتی کنم. نتیجه؟ انگار یک دستیارِ خستگیناپذیر استخدام کردم که ۲۴ ساعته برام کار میکنه. تکنولوژی قرار نیست جایِ ما رو بگیره؛ قراره بهمون کمک کنه تا «انسانتر» کار کنیم و زمان بیشتری برای رشدِ ایدههای اصلیمون داشته…
👍2👏2
🤯 چرا RAG از Fine-Tuning مهمتر شد؟ خیلیها برای ساخت یه AI اختصاصی، سریع میرن سراغ Fine-Tuning؛ اما همیشه جواب این نیست! 🤷♂️ فرض کن اطلاعات شرکتت هر روز تغییر میکنه. امروز قیمت محصول ۱۰ میلیونه، فردا ۱۲ میلیون! 📈 قرار نیست هر روز مدل رو دوباره آموزش بدی! 😐 اینجاست که RAG وارد میشه. 🚀 اطلاعات جدید رو به Knowledge Base اضافه میکنی و مدل موقع پاسخگویی، اطلاعات بهروز رو بازیابی میکنه. 🧠 LLM + RAG + Vector Da…
🔥3
skillswap.ir pinned a photo
Showing the 12 most recent of 19 posts we hold for @skillswap_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.
Citation-graph rank
Citation-graph rank — 402,685 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.
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
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.
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.
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.
“skillswap.ir” (@skillswap_ir), 88 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/skillswap_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.