Channel
@aal1912
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
50subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001837276539 |
|---|---|
| Type | Channel |
| Username | @aal1912 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 3 times, most recently 11 September 2026 |
| On Telegram | t.me/aal1912 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 10:24 | 50 | -1 |
| 20 Aug 2026, 12:18 | 51 | -1 |
| 10 Aug 2026, 10:00 | 52 | no change |
| 7 Aug 2026, 04:00 | 52 | +1 |
| 6 Aug 2026, 17:47 | 51 | first reading |
20 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 15 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 videos 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.
https://github.com/Nutlope/hallmark 🔸مخزنHallmarlk یک skill برای Claude Code و Cursor و Codex. کارش اینه: AI-slop design رو بکشه بیرون از خروجی. همون حس پلاستیکی UI که AI میده رو میگیره، تمیزتر و انسانیتر میکنه. برای designer و AI creator ها خیلی به درد میخوره. مستقیم تو workflow میشینه. .
اگر با ai میخواهید سایت طراحی کنید این اسکیل رو نگاه کنید: https://github.com/adamholter/hive-mind-landing-page
https://github.com/Archive228/loopkit
https://www.tines.com/
اگر کار اکادمیک و پژوهشی انجام میدید: https://www.undermind.ai/
اگر میخواهید درباره لوپ بیشتر بدونید این مقاله کلاد رو بخونید https://x.com/i/status/2074208949205881033
https://github.com/DietrichGebert/ponytail اگر از کلاد کد استفاده میکنید این رونگاه کنید. فلسفه پشت این ریپو اینه کلاد کد شما رو به یک دولوپر سینیور ولی تنبل تبدیل میکنه، کمترین میزان تولید کد در برابر بهترین نتیجه.
اگر میخواهید برای کارهاتون اسکیل بسازید کلاد یه راهنمای خوب گذاشته: https://code.claude.com/docs/en/skills
https://github.com/nexu-io/open-design
تقریبا دو سال پیش برای کارهای خودم روی مرورهای نظاممند و اسکوپینگ ریویو، یک ابزار کوچک نوشته بودم که به مرور زمان بزرگتر شد و این چند ماه اخیر تقریباً از اول بازطراحی و بازنویسی شد. نتیجهاش شده پروژهای به اسم SLR Assistant؛ یک ابزار متنباز و Local-First برای کمک به انجام Systematic Review و Scoping Review با استفاده از مدلهای زبانی. فلسفه اصلی پروژه از ابتدا این بود که پژوهشگر مجبور نباشد برای بررسی چند ده یا…
🚀 ۱۹ ویژگی پنهان برای استفاده کامل از Hermes Agent [با زیرنویس اختصاصی فارسی] هر آنچه برای بهینهسازی Hermes نیاز دارید را در یک ویدیو ببینید. از context limits تا subagent ها و کاهش هزینه. 🔻 سرفصلهای کلیدی: 🔹 ورکفلو Context Limits — افزایش max bytes و خطوط خوانش فایل 🔹 ورکفلو Subagents — افزایش تعداد همزمان تا ۵ 🔹 ورکفلو Cost Settings — auxiliary models برای کاهش هزینه 🔹 ورکفلو Quick Commands — exec و a…
🚀 آموزش کامل OpenAI Codex از صفر تا پیشرفته [با زیرنویس اختصاصی فارسی] این ویدیو نحوه استفاده از OpenAI Codex را برای خودکارسازی فعالیتها آموزش میدهد. شما یاد میگیرید چگونه با دستورات ساده به زبان طبیعی، کارهایی مثل سازماندهی فایلها، ساخت داشبوردهای تحلیلی، تولید محتوای مارکتینگ، اتصال به نرمافزارهای ابری و حتی طراحی وبسایت را بدون نیاز به دانش کدنویسی به این هوش مصنوعی بسپارید 🔻 سرفصلهای کلیدی ویدیو: 🔹 و…
Showing the 12 most recent of 20 posts we hold for @aal1912. 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.
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.
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.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Academic Ai” (@aal1912), 50 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/aal1912.
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.