Posted without readable text

Channel
CampusX DSMP 1.0
@campusxdsmp1
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
2,125subscribers
+68 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002190015824 |
|---|---|
| Type | Channel |
| Username | @campusxdsmp1 |
| 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 | 15 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/campusxdsmp1 |
Topic
Education — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 12:18 | 2,125 | +9 |
| 12 Sept 2026, 07:21 | 2,116 | +3 |
| 8 Sept 2026, 11:38 | 2,113 | +46 |
| 2 Sept 2026, 21:29 | 2,067 | +2 |
| 30 Aug 2026, 20:44 | 2,065 | +3 |
| 27 Aug 2026, 17:29 | 2,062 | +8 |
| 25 Aug 2026, 01:04 | 2,054 | +1 |
| 21 Aug 2026, 05:14 | 2,053 | +1 |
| 18 Aug 2026, 11:12 | 2,052 | -1 |
| 11 Aug 2026, 17:08 | 2,053 | -4 |
| 7 Aug 2026, 20:32 | 2,057 | no change |
| 7 Aug 2026, 18:59 | 2,057 | first reading |
Engagement
18 posts held, back to 9 May 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 18 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 7m 27s
- Average length
- 2m 29s
Measured directly from 3 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.
Recent posts
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CampusX DSMP 1.0 pinned a photo
💎 Vizuara.AI course is finally here.... 1️⃣Build Voice Agents. From Scratch 2️⃣The Modern Software Developer ➡️ Demos + Proof : @vizuara_ai_courses 💰 Price : INR. 369/- ⏬ Instant Download Now 📱 For More Detail contact Admin 🤚🏻@HydITHubAdmin_Bot
CampusX DSMP 1.0 pinned a video
⭐️ Channel is Ready.... Checkout Proof 🧩 Price : 444/- 🕯 [Lowest Ever] 💫 300+ Sessions... Compare with other seller whoever have it ❇️ Demos : https://t.me/+qB2hoaf2fDdhMWU9 📣 To purchase contact Admin 🤚🏻@HydITHubAdmin_Bot
File, posted without a caption
CampusX DSMP 1.0 pinned a photo
⭐️ Biggest Drop : DSML 2026 Batch from Scaler Academy 🧩 Price : 444/- 🕯 [Lowest Ever] 💫 FREE : Vizuara AI Labs - Build Voice Agents From Scratch ❇️ Demos & Proof: https://t.me/+qB2hoaf2fDdhMWU9 📣 To purchase contact Admin 🤚🏻@HydITHubAdmin_Bot
CampusX DSMP 1.0 pinned a video
➡️Generative-AI & Agentic-AI with Python 🕯 Batch : 6th Oct 2025 - 9th May 2026 ⚡️Contain 130+ Sessions + Notes, Codes & Data-Sets 💎 Cost: 249/- ➡️If you opt Agentic AI System Design June-2026 Cohort then both combo will be 345/- 📣 To purchase contact Admin 🤚🏻@HydITHubAdmin_Bot
CampusX DSMP 1.0 pinned a photo
Showing the 12 most recent of 18 posts we hold for @campusxdsmp1. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@Unlocked_Coding · 45,460
Telegram ranks this channel #17 of 20 here — alongside 19 others — read 27 August 2026
@Adityatiwarisir_upscwallah · 22,653
Telegram ranks this channel #39 of 43 here — alongside 42 others — read 20 September 2026
@nareshit · 60,588
Telegram ranks this channel #65 of 67 here — alongside 66 others — read 22 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“CampusX DSMP 1.0” (@campusxdsmp1), 2,125 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/campusxdsmp1.
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.