Channel
@algorithmha
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
738subscribers
-4 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001004122780 |
|---|---|
| Type | Channel |
| Username | @algorithmha |
| Created | Between 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/algorithmha |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 04:15 | 738 | -5 |
| 6 Aug 2026, 18:52 | 743 | +1 |
| 6 Aug 2026, 16:05 | 742 | no change |
| 5 Aug 2026, 22:16 | 742 | first reading |
20 posts held, back to 10 November 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.
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 5 January 2026. An engagement rate over an empty window would be a number about nothing.
11 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 27.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 27.3% | |
| 👎 | 3 | 27.3% | |
| 🔥 | 3 | 27.3% | |
| 👍 | 2 | 18.2% |
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 20 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 November 2025 to 5 January 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.
+ Professional Software Developers Don’t Vibe, They Control: AI Agent Use for Coding in 2025 مقالهی Professional Software Developers Don’t Vibe, They Control: AI Agent Use for Coding in 2025 به بحث Vibe Coding میپردازه و نتیجهی اصلیش اینه که توسعهدهندههای حرفهای معمولا هوش مصنوعی رو برای تولید کد به حال خودش رها نمیکنن یا کل کار رو بهش نمیسپارن. برعکس، قبل از اجرا برنامهریزی میکنن، مسئله رو دقیق تعریف میکن…
Signed Masoud Aghdasifam
+ Most people are using GPT-5 wrong. صحبت اصلی این نوشته این نیست که GPT-5 از GPT-4 قویتره؛ حرفش اینه که ما هنوز داریم با منطق قدیمی ازش استفاده میکنیم. معمولا GPT رو در حد یه ابزار سوال و جواب میبینیم، در حالی که ظرفیتش خیلی فراتر از اینهاست. وقتی فقط سوال میپرسیم، خروجیهامون پراکنده و مقطعی میشه. اما وقتی بهش جهت، هدف و چارچوب میدیم، میتونه تبدیل بشه به یه سیستم واقعی برای یادگیری و پیشرفت، نه صرفا تولید م…
👎3
Signed Masoud Aghdasifam
+ پرامپتهای آماده و حرفهای برای استفادهی بهتر از ChatGPT اگر از ChatGPT استفاده میکنید ، حتما به این لینک سر بزنید و ازش استفاده کنید: https://academy.openai.com/public/tags/prompt-packs-6849a0f98c613939acef841c مجموعهای از پرامپتهای آماده و حرفهای برای استفادهی بهتر از ChatGPT بدون نیاز به ساخت پرامت از صفر https://x.com/TheRealPourya/status/2004411986881249761 @algorithmha
❤1
Signed Masoud Aghdasifam
+ مدل Qwen‑Image‑Layered به این میگن نوآوری واقعی: Qwen‑Image‑Layered، همون چیزی که انتظارش رو نداشتیم ولی نیازش داشتیم مدل Qwen‑Image‑Layered یک مدل جدید هوش مصنوعیه که قابلیت جالبی داره: میتونه یک تصویر ساده رو به چندین RGBA layer تجزیه کنه، یعنی لایههایی که هم رنگ (RGB) و هم شفافیت (alpha) دارن. https://x.com/rzdjafari/status/2002647657508962447 @algorithmha
🔥1
Signed Masoud Aghdasifam
+ بنچمارک FACTS بنچمارک FACTS از Google برای ارزیابی اینکه مدلهای زبانی واقعا چقدر درست و حسابی جواب میدن، طراحی شده و روشهای مختلفی برای این ارزیابی داره؛ از جواب دادن به سوالات دانشی و تصویری گرفته تا استفاده از جستحو و نوشتن جوابهای بلند بر اساس یک متن مشخص. https://www.linkedin.com/posts/amasoudfam_facts-benchmark-suite-leaderboard-kaggle-activity-7408739036867092480-kkqE @algorithmha
Signed Masoud Aghdasifam
سعی کنید رو مفاهیم و اصول پایه ای مهندسی نرم افزار و تکنیک های حل مسئله عمیق بشید نه سنتکس نویسی و کار با فریموورک، اونی که میگه توسعه با LLM و Agent شمارو متمایز میکنه اتفاقا داره کاملا اشتباه میکنه، همه توی 2 تا 4 هفته میتونن پرامپت نویسی و کار با LLM هارو یاد بگیرن ولی همه حل مسئله شون قوی نیست، نگاه بیزنسی ندارن، کار تیمی بلد نیستن، مفاهیم پایه و trade off هارو نمیدونن، محصول واقعی لانچ نکردن، چرخه تولید محصول رو…
👍2
Signed Masoud Aghdasifam
+ JSON vs TOON LLMs weren’t built to love JSON. But TOON? It speaks their language. Every agentic AI workflow starts with one bottleneck: tokens. And it turns out we’ve been wasting a ton of them. That’s where TOON changes the game. https://www.linkedin.com/feed/update/urn:li:activity:7400841912183848960 @algorithmha
Signed Masoud Aghdasifam
+ Nanobanana 2.0 یکی از قابلیت های Nanobanana 2.0 پرو که ممکنه خیلی به دردتون بخوره تحلبل زبان بدن و حس و حال کلی که یک عکس به مخاطب القا میکنه ، مخصوصا برای اون عده از دوستانی که کلا لینکدین رو با کالکشن عکس های خودشون مدیریت میکنن! لینک پرامپت مورد استفاده برای استفاده از این قابلیت رو توی کامنتهای پست پیدا میکنید. https://www.linkedin.com/posts/zarvandeh_%DB%8C%DA%A9%DB%8C-%D8%A7%D8%B2-%D9%82%D8%A7%D8%A8%D9%84…
Signed Masoud Aghdasifam
+ Teaching Machines How to Think I recently placed in the top 20% of a Kaggle competition. I didn’t write a single line of feature engineering. I didn’t tune a single hyperparameter. Instead, I spent my time doing something fundamentally different: I built a system that knows how to approach machine learning problems, then pointed it at the competition and watched ... https://yewjin.substack.com/p/the-future-is-sol…
Signed Masoud Aghdasifam
+ Lightweight End-to-End OCR This paper presents HunyuanOCR, a commercial-grade, open-source, and lightweight (1B parameters) Vision-Language Model (VLM) dedicated to OCR tasks. https://www.linkedin.com/posts/amasoudfam_hunyuanocr-technical-report-activity-7401288542838140928-QErX/ @algorithmha
🔥2
Signed Masoud Aghdasifam
+ ورکفلو آماده n8n اگر در n8n فعالید یا در حال آموزش هستید، در رپوی زیر حدودا 2000+ ورکفلوی آماده و سالم وجود داره که میتونید برای کارهاتون استفاده کنید. github.com/Danitilahun/n8n-workflow-templates/ منبع لینک: x.com/TheRealPourya/status/1983451506126049659 @algorithmha
❤1
Signed Masoud Aghdasifam
+ ریپوی AI_Links ریپوی AI-Links یک دایرکتوری شامل صدها لینک هوش مصنوعیهای کاربردی نظم دهی شده با توجه به کاربرد و نوع استفاده، شامل چتباتها، تولید تصویر، ویدیو، صدا، کدنویسی و ابزارهای کاربردی دیگر است. algs.ir/q45j74 @algorithmha
Signed Masoud Aghdasifam
Showing the 12 most recent of 20 posts we hold for @algorithmha. 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 — 894,225 of 1,160,990entries 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.
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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“الگوریتمستان” (@algorithmha), 738 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/algorithmha.
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.