Posted without readable text
🥰6

Channel
@bahman_wp
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
33,133subscribers
+272 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002239933157 |
|---|---|
| Type | Channel |
| Username | @bahman_wp |
| Description | 🚀 مرجع آموزش هوش مصنوعی و برنامه نویسی 💻 🔍 آموزش و ترفندهای کسب درآمد با هوش مصنوعی 💰⚡️ ⚡️ مسیر متخصص شدن و کسب درآمد از هوش مصنوعی رو تجربه کن 🚀🔥 🛠 پشتیبانی: @Bahmanwp_support 💬 📸 اینستاگرام: https://www.instagram.com/bahman_wp |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/bahman_wp |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 56% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 21:59 | 33,133 | +20 |
| 23 Oct 2026, 20:26 | 33,113 | -26 |
| 22 Oct 2026, 22:16 | 33,139 | -54 |
| 21 Oct 2026, 18:26 | 33,193 | -8 |
| 20 Oct 2026, 14:27 | 33,201 | -13 |
| 19 Oct 2026, 10:45 | 33,214 | +16 |
| 18 Oct 2026, 12:06 | 33,198 | +18 |
| 17 Oct 2026, 13:28 | 33,180 | -4 |
| 16 Oct 2026, 12:09 | 33,184 | -2 |
| 15 Oct 2026, 14:36 | 33,186 | +12 |
| 14 Oct 2026, 14:36 | 33,174 | -15 |
| 13 Oct 2026, 02:19 | 33,189 | -41 |
| 8 Oct 2026, 21:16 | 33,230 | -44 |
| 4 Oct 2026, 11:18 | 33,274 | +101 |
| 26 Sept 2026, 02:57 | 33,173 | +142 |
| 19 Sept 2026, 10:59 | 33,031 | +45 |
| 16 Sept 2026, 21:18 | 32,986 | +257 |
| 14 Sept 2026, 20:20 | 32,729 | +131 |
| 13 Sept 2026, 04:00 | 32,598 | +100 |
| 11 Sept 2026, 06:18 | 32,498 | first reading |
197 posts held, back to 1 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 137 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 197 (1 July 2026 – 24 October 2026) |
| Views total | 175,570 |
| Reactions total | 1,192 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 02:51 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.
Lifetime counters from Telegram’s own channel header, read 25 October 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.
Measured directly from 48 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.
2,143 reactions across 197 posts, in 18 distinct kinds. The most used accounts for 69.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,498 | 69.9% | |
| 👍 | 165 | 7.70% | |
| 🔥 | 164 | 7.65% | |
| 🥰 | 51 | 2.38% | |
| 🤩 | 44 | 2.05% | |
| 🤯 | 42 | 1.96% | |
| 👏 | 40 | 1.87% | |
| ⚡ | 29 | 1.35% | |
| 👌 | 28 | 1.31% | |
| 💔 | 23 | 1.07% | |
| 😢 | 22 | 1.03% | |
| 👀 | 11 | 0.513% | |
| 👨💻 | 10 | 0.467% | |
| 😭 | 7 | 0.327% | |
| 🤝 | 3 | 0.14% | |
| 🫡 | 3 | 0.14% | |
| 🍾 | 2 | 0.093% | |
| 😎 | 1 | 0.047% |
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 197 of the 197 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 2,143 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 197 most recent posts we hold, published 1 July 2026 to 24 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bahman_wp. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 197 most recent posts we hold for this entry, published 1 July 2026 to 24 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Posted without readable text
🥰6
Use the uploaded child photo as the exact identity reference. DREAM PROFESSION: [INSERT CHILD'S DREAM PROFESSION] Create a highly photorealistic, playful editorial studio portrait that visually transforms the child’s dream profession into an imaginative oversized world. IDENTITY LOCK: Preserve the child’s exact recognizable identity from the uploaded photo. Keep the same face shape, eyes, nose, lips, eyebrows, ski…
❤6
🔍 گوگل یه ابزار جدید و خفن برای ایجنتهای هوش مصنوعی منتشر کرد!🔥 🔥گوگل ابزار جدیدی به اسم Gemini API CLI معرفی کرده که به ایجنتهایی مثل Claude Code و Codex اجازه میده مستقیماً از قابلیتهای هوش مصنوعی گوگل استفاده کنن! ✅ ساخت و ویرایش عکس با Nano Banana ✅ ساخت ویدیو با مدلهای هوش مصنوعی گوگل ✅ تولید موسیقی و صداگذاری ✅ تبدیل فایل صوتی به متن و ساخت زیرنویس ✅ تحلیل عکس، ویدیو و فایلهای PDF ✅ خودکارسازی کارها با …
❤7
🔥رایگان با هوش مصنوعی از این ادیتای خفن بزن😉 📌نحوه ساخت: عکس محصولتون رو همراه یکی ازین ویدیو های بالا به همراه پرامپت زیر میدین به گوگل فلو مدل Omni flash و صبر میکنید تا ویدیوتون جنریت بشه و تمامم👌 Replace the product shown in the original video with the exact product from the second reference image. Use the second image as the precise reference for the product's appearance, including its shape, size, colors, pa…
🔥5❤1
🔥 3 تا سایت برای استفاده رایگان از سیدنس 2.5 !📹 سایت اول👇 https://www.dola.com سایت دوم👇 https://jxp.com سایت سوم👇 https://ai.byteplus.com/lumina/en/model/video?mode=video 🌟 سایت اول کمترین محدودیت رو داره و آموزش ویدیوییش رو هم میتونی اینجا ببینی🫠👇 https://t.me/bahman_wp/174 🔠 برای آموزش های بیشتر، همراه ما باش: 😎 @bahman_wp
❤5🥰3
⬅️گردنت کج افتاده، دستتو بد گذاشتی یا چشمت بستهست؟ 🤔 🔥این پرامپت ژستت رو کامل اصلاح میکنه و عکستو طبیعیتر و خوشفرمتر میسازه😎👇 Edit the uploaded photo to naturally correct awkward posture and accidental blinking. Return ONE edited photo only. Prioritize identity, realistic anatomy, minimal corrections, and preservation of the original moment. Change only clearly unintended problems; preserve intentional poses, e…
❤7🔥3
🔒 چت خصوصیت رو قفل کن!🤨 چتجیپیتی قابلیت جدید Locked Chats رو معرفی کرده؛ باهاش میتونی گفتگوهای خصوصیت رو از تاریخچه عادی جدا کنی و برای باز شدنشون رمز یا اثر انگشت بذاری👀 ⬅️بهترین مدلهای AI با قیمت مناسب! 😍 🔠 برای آموزش های بیشتر، همراه ما باش: 😎 @bahman_wp
🤯5❤3
🔥محیط کارتو اینجوری معرفی کن😎 ✔نحوه ساختش خیلی ساده س👇 فقط کافیه یه عکس از ورودی مغازه یا محل کارت بگیری و همراه پرامپت زیر بدی به گوگل فلو تا همچنین ویدیوی جذابی برات بسازه👌 Create a photorealistic cinematic build-up timelapse of the requested subject, transforming it from nothing into a fully completed result. Begin with an empty scene, then show the subject gradually taking shape through realistic, logical stage…
❤7👌1
تا همچین ویدیوی شاهکاری تحویل بگیری 😍 🔠 برای آموزش های بیشتر، همراه ما باش: 😎 @bahman_wp
🔥7👌3❤2🤯2👍1
🥛 شیت ۹تایی تبلیغاتی حرفهای📸 📣 قبل از اینکه ویدیو برای محصولت بسازی، عکس های خفنش رو با این پرامپت بساز 👇
❤9
⬅️ پرامپت: Use the uploaded product image as the exact product reference and create a premium 3x3 product-photography storyboard grid with 9 separate cells. PRESERVE PRODUCT FIDELITY: Keep the product’s exact identity fully consistent with the reference image. Preserve its shape, proportions, materials, construction, silhouette, colors, label or graphic placement, branding, packaging details, surface finish, and al…
❤6👨💻3👍2🤝2
🤖 ظرفیت تمدیدی جمنای 18 ماهه به پایان رسید 🚷 تبریک دوستانی که از این فرصت های پایانی استفاده و زیر قیمت تهیه کردن 🔠
💔8❤3😭3
Showing the 12 most recent of 197 posts we hold for @bahman_wp. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
@bahman_wp edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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 2 registered channels — 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.
@bahman_wp named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“بهمن وردپرس | آموزش هوش مصنوعی” (@bahman_wp), 33,133 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/bahman_wp.
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.