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Channel

QuestPond

@questpond

On this record: Growth · Engagement · Posts · Telegram's recommendations · Cite this entry

2,846subscribers

-7 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-1001412902573
TypeChannel
Username@questpond
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/questpond

Growth

2,8462,8532,849.57 August 2026 — 2,853 subscribers7 August 2026 — 2,853 subscribers11 August 2026 — 2,851 subscribers15 August 2026 — 2,849 subscribers18 August 2026 — 2,846 subscribers20 August 2026 — 2,849 subscribers24 August 2026 — 2,847 subscribers28 August 2026 — 2,846 subscribers7 August 202628 August 2026
8 measurements spanning 20 days, net -7. 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 2,845–2,854 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 04:342,846-1
24 Aug 2026, 18:552,847-2
20 Aug 2026, 21:432,849+3
18 Aug 2026, 05:222,846-3
15 Aug 2026, 15:422,849-2
11 Aug 2026, 18:282,851-2
7 Aug 2026, 23:152,853no change
7 Aug 2026, 23:092,853first reading

Engagement

20 posts held, back to 24 May 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
13.5%
avg views ÷ 2,846 subscribers
Avg views / post
385
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 August 2026
Posts held20 (24 May 20262 August 2026)
Views total1,155
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:15 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.

Recent posts

2 Aug 2026, 02:47 UTC336 viewsread 7 August 2026

Hello All, Yesterday we completed with Linux fundamentals, and the recording is also available for revision. If you have missed it please watch the recording before attending today's class. 🎯 Today we will look into Introduction to Docker Basics. 📍 Join at 10 am IST, Zoom link has been updated on subscription portal. Happy Learning!

1 Aug 2026, 11:48 UTC393 viewsread 7 August 2026

🔔 Final reminder! Our webinar goes live today at 07 PM. This is your last chance to register. 🔗 Save your spot: https://luma.com/learn-azure

31 Jul 2026, 13:28 UTC426 viewsread 7 August 2026

Hello All, This Saturday and Sunday, we will start with LINUX. Vishwa Sir will first cover the basics of LINUX and then start with Docker. The Docker steps will be the same, but with LINUX there is a slightly different perspective that you will enjoy. From next week onwards, we will have: ✅ Saturday: Windows ✅ Sunday: LINUX Happy Learning.

26 Jul 2026, 03:28 UTC707 viewsread 7 August 2026

Hello All, ✔️ Today we will revise Kubernetes as many felt it was tough. And we push the image to ACR and get in Kubernetes. 🌐 The invite has been updated on the portal, login to your subscription account to join. We connect in 1 hour at 10:00 am IST. Happy Learning!

25 Jul 2026, 03:02 UTC717 viewsread 7 August 2026

Hello Devs, Last week we covered the Docker fundamentals, created & published Docker images and learned how to work with containers. Today (25th July) we will start with Kubernetes , topics to be covered: ➤ What is Kubernetes and Kubernetes Architecture? ➤ Creating Kubernetes using KIND? ➤ Running a simple POD in Kubernetes. 👉 Join at 10 am IST. The invite is available on the portal under "Live Knowledge Sharing

19 Jul 2026, 03:48 UTC945 viewsread 7 August 2026

Hello Devs, Yesterday we covered the Docker fundamentals, created our first Docker image and learned how to work with containers using Visual Studio. In today's session, we will continue with: • Creating Docker images using Docker commands • Publishing images to a Docker registry The invite has been updated on the portal under " Live Knowledge Sharing Session (for all 5 year Subscribers) ". ➤ 19th July, 10 am IST

17 Jul 2026, 11:29 UTC892 viewsread 7 August 2026

Docker & Kubernetes session is almost here - join us tomorrow as we go live on YouTube 🗓 18th July 10:00 AM IST: https://youtu.be/CTYnT6uSYAE In just one session, we will cover: ➤ Docker Fundamentals ➤ Working with Docker ➤ Building Your First Application ➤ Building and Running Docker Images ➤ Docker Image Layers and Best Practices And bring your questions, we will answer them live.

15 Jul 2026, 10:10 UTC832 viewsread 7 August 2026
Photo

Many developers learn Docker & Kubernetes in isolation. They learn Docker commands, create images, & run containers. However, if you look at the real world, Docker and Kubernetes are never used in isolation. They are automated, driven by DevOps pipelines, hosted on registries, consumed by clients and managed by Kubernetes. 🎯 If you want to learn Docker/Kubernetes, including the DevOps lifecycle, below is the flow:

11 Jul 2026, 09:29 UTC827 viewsread 7 August 2026

Our free Agentic AI session is happening today at 05 PM IST. 🎯 Register to get started: https://luma.com/e5n5wr89

4 Jul 2026, 05:21 UTC≈1,110 viewsread 7 August 2026

🔔 Reminder: Our session starts in 10 minutes. 👉 Register to join via Zoom: https://luma.com/3phh48c6 👉 Attend live on youtube: https://youtu.be/LrJn8pHSHjc

3 Jul 2026, 05:45 UTC≈1,150 viewsread 7 August 2026
Photo

Hey everyone, quick update. We are hosting a focused 1 hour live session Tomorrow on Agentic AI where we will break down what's actually changing in how AI systems are being built and used by developers. Watch live on YouTube or register to join us on Zoom. 📌 Registration Link: https://luma.com/3phh48c6 📌 Youtube Live: https://youtu.be/LrJn8pHSHjc ✅ If Agentic AI is on your radar, this session is a great introd

24 Jun 2026, 10:40 UTC≈1,280 viewsread 7 August 2026

Hi Devs, Please watch this once, will help you to navigate the teachable portal for preparation. https://youtu.be/fAhSTVy1sD4 Happy Learning !

Showing the 12 most recent of 20 posts we hold for @questpond. 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.

Naresh IT
@nareshit · 61,112
Telegram ranks this channel #46 of 67 here — alongside 66 others — read 22 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“QuestPond” (@questpond), 2,846 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/questpond.

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.