Telegram RegisterThe public register of Telegram

Channel

Developer.manifest

@DeveloperManifest

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

220subscribers

+2 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-1003237061968
TypeChannel
Username@DeveloperManifest
Description👋 سلام! من سعید عبدالهیان (saeedvir) هستم. 💻 توسعه‌دهنده وب و متخصص PHP / Laravel 📂 پروژه‌ها و نمونه‌کارها: https://azaran-code.ir https://github.com/saeedvir تماس با من @PhpWebDeveloper 🚀 علاقه‌مند به ساخت پروژه‌های تمیز، بهینه و حرفه‌ای
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
On Telegramt.me/DeveloperManifest

Growth

2182202197 Aug 2026, 18:31 — 218 subscribers8 Aug 2026, 09:34 — 220 subscribers8 Aug 2026, 10:34 — 220 subscribers7 Aug 2026, 18:318 Aug 2026, 10:34
3 measurements taken within a single day, net +2. 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 218–220 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 10:34220no change
8 Aug 2026, 09:34220+2
7 Aug 2026, 18:31218first reading

Engagement

20 posts held, back to 5 August 2026the 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
41.3%
avg views ÷ 220 subscribers
Avg views / post
90.9
18 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 12 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held20 (5 August 20268 August 2026)
Views total1,636
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:34 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
200
Videos
16
Links
149

Lifetime counters from Telegram’s own channel header, read 8 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
3h 25m
Average length
1h 42m

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.

Reaction mix

18 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1161.1%
🔥527.8%
15.56%
💯15.56%

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 12 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 18reactions 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 5 August 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

8 Aug 2026, 08:48 UTC31 views2 reactionsread 8 August 2026
File

نمونه اجرا یک گزارش ساز هوشمند در یک پروژه پنل مدیریت - لاراول همین طور که می بینید در این فروشگاه (روی لوکال) ، این مورد اجرا شده. می توان خروجی ها و توضیحات رو بهتر هم کرد. حتما نظرتون رو بگید. این ماژول و سورس قابل استفاده در پروژه های لاراولی هست. #AI #AI_AGENT #admin #laravel #package

👍2

8 Aug 2026, 08:31 UTC35 views1 reactionsread 8 August 2026
Photo

توضیحات در مورد گزارش ساز هوشمند ویدیو نمونه از این پروژه

👍1

8 Aug 2026, 06:53 UTC42 views1 reactionsread 8 August 2026
Photo

گزارش‌گیری هوشمند از دیتابیس با کمک AI چطور می‌توانیم یک سیستم بسازیم که کاربر سؤال خود را به زبان طبیعی بپرسد و AI بر اساس ساختار دیتابیس، گزارش موردنیاز را تولید کند؟ در این معماری، درخواست کاربر از چند مرحله عبور می‌کند: 🔹 SchemaDescriber : تحلیل و توضیح ساختار دیتابیس 🔹 AiManager : مدیریت و آماده‌سازی سرویس هوش مصنوعی 🔹 AiDriver : ارسال ساختار دیتابیس و درخواست کاربر به AI 🔹 Response Service : پردازش، ا

🔥1

8 Aug 2026, 04:23 UTC119 views1 reactionsread 8 August 2026

باز هم wordpress و باز هم باگ دیگه باید بهش بگن bugpress 😂 این مشکلات در نسخه 7.0.3 رفع شده , پس سریعا بروزرسانی کنید https://www.cve.org/CVERecord?id=CVE-2026-64638 https://pwn.ai/blog/xss2shell https://github.com/WordPress/wordpress-develop/security/advisories همین اخیرا بود با این دو تا باگ خفن : ``` CVE-2026-60137 / GHSA-fpp7-x2x2-2mjf CVE-2026-63030 / GHSA-ff9f-jf42-662q https://github.com/5yu4n/CVE-2026-

👍1

7 Aug 2026, 12:58 UTC64 views2 reactionsread 8 August 2026
Photo

حلقه کنترل فیدبک (Feedback Control Loop) در سیستم‌های تحت وب چیست و چرا اهمیت دارد؟ به بیان ساده، حلقه کنترل فیدبک به سیستمی گفته می‌شود که خروجی خود را اندازه‌گیری می‌کند، آن را با هدف مورد انتظار مقایسه می‌کند و در صورت وجود اختلاف، رفتار خود را اصلاح می‌کند. این فرآیند به صورت مداوم تکرار می‌شود تا سیستم همیشه به بهترین عملکرد ممکن نزدیک بماند. 👈 به شدت توصیه می کنم بخونید. DeveloperManifest #article #seo #tip

🔥2

7 Aug 2026, 04:12 UTC71 views3 reactionsread 8 August 2026

https://persiandownloadmanager.com/ نرم افزار مدیریت دانلود برای ویندوز - فاریس درسته قالب سایت AI خالص هست ولی خب حمایت از نرم افزارهای جامعه فارسی زبان خوبه درکل برای لینوکس می تونید از Persepolis استفاده کنید DeveloperManifest #dev_tools #tip

👍3

7 Aug 2026, 01:29 UTC187 views1 reactionsread 8 August 2026
Photo

یکی از ساختار های مدرن برای پروژه های مقایس پذیر ، ساختار ماژولار هست. برای این مورد هم پکیج های زیادی برای لاراول وجود دارد. قبل از این ، نگاهی به پکیج Laravel Modular بیاندازید صفحه گیت هاب زیر ، نمونه ای از راه اندازی این ساختار بدون نیاز به پکیج خاصی هست. می تونید طبق نیاز خودتون این را ویرایش کنید یا قابلیت های بیشتر بهش اضافه کنید. برای توسعه ش هم می تونید فایل readme.md را به هر دستیار هوش مصنوعی به عنوان

💯1

6 Aug 2026, 08:58 UTC70 viewsread 8 August 2026
Video

🚀 دوره کامل هرمس ایجنت؛ از صفر تا صد [با زیرنویس اختصاصی فارسی] این دوره سه ساعته از صفر تا صد هرمس ایجنت رو پوشش می‌ده. یاد می‌گیری چطور ایجنت رو هاست کنی، به تلگرام، اسلک یا آی‌مسج متصلش کنی، حافظه مشترک با هونچو بسازی و ورک‌فلوهای خودکار مثل بریفینگ روزانه، وبسایت انیمیشنی، کیت مارکتینگ املاک، کاروسل اینستاگرام، ربات تریدینگ و کوچ سلامت طراحی کنی. در نهایت هم روش قیمت‌گذاری و فروش این پروژه‌ها رو یاد می‌گیری. 🔻

6 Aug 2026, 08:56 UTC66 viewsread 8 August 2026
Video

🚀 اتصال Obsidian به هرمس و نکات [با زیرنویس اختصاصی فارسی] هرمس این امکان رو فراهم می‌کنه که یک ولت ابسیدین رو با سه سطح دسترسی مختلف برای ایجنت تنظیم کنی. فولدر خصوصی کاملاً پنهان می‌مونه، فولدر فقط خواندنی برای مشاهده بدون تغییر در دسترسه و فولدر خواندنی-نوشتنی اجازه ویرایش کامل می‌ده. این ساختار پایه اتصال امن ابسیدین به هرمس و آماده‌سازی LLM Wiki هست. 🔻 سرفصل‌های کلیدی ویدیو: 🔹 ورک‌فلو تنظیم سطوح دسترسی: خصوصی،

6 Aug 2026, 03:58 UTC75 viewsread 8 August 2026
Photo

کانال DeveloperManifest ، یک دنیا آموزش و ترفندهای ناب برنامه نویسی و هک و هوش مصنوعی 📄 خلاصه ای از فعالیت اخیر کانال 🎁 👈 دستیار های هوش مصنوعی برای سئو 🎁 👈 دو قالب پنل مدیریت و لندینگ پیج 🎁 👈 آموزش نصب و فعال سازی Mimo Pro و دریافت اعتبار رایگان 🎁 👈 دنبال API KEY رایگان برای هوش مصنوعی میگردی 👈 یک داشبورد مدیریتی تمام عیار برای لاراول 👈 ویدیو معرفی قابلیت های Opencode 👈 یه بازی مخصوص زمان بی برقی 👈 کار با

6 Aug 2026, 03:28 UTC68 views1 reactionsread 8 August 2026

کد نویسی بدون هوش مصنوعی یک مزیت خیلی خوب داشت و اون به یاد داشتن توالی کد ، مکان یابی ذهنی فایل ها و بخش های مهم کد و عیب یابی ذهنی کد ولی الان شما تعداد زیادی فایل و به همراه خط های نامحدود توسط دستیار هوش مصنوعی تولید می کنید و این قضیه به خاطر سپردن موارد بالا را مشکل می کند یعنی تسلط شما بر کدی که نوشته بودید به آرامی صورت میگرفت. بنابراین چاره ای ندارید تا با همان دستیار هوش مصنوعی عملیات عیب یابی و رفع مش

👍1

Showing the 12 most recent of 20 posts we hold for @DeveloperManifest. 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 — 739,348 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.

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 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.

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

“Developer.manifest” (@DeveloperManifest), 220 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/DeveloperManifest.

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.