2 measurements taken within a single day, net -1. 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 1,107–1,108 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 03:08
1,107
-1
2 Sept 2026, 20:30
1,108
first reading
Engagement
8 posts held, back to 11 June 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.
ERR · 30 days
4.07%
avg views ÷ 1,107 subscribers
Avg views / post
45.0
1 post measured
Reaction rate
6.67%
reactions ÷ views · ER floor
Posts in window
2
of 8 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
8 (11 June 2026 – 2 September 2026)
Views total
45
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:30 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.
Reaction mix
23 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 56.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
13
56.5%
❤
10
43.5%
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 8 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 11 June 2026 to 2 September 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.
Big news! 🎉
We’re super excited to share that QAHub is officially evolving into the Applied AI Hub.
If you’ve been with us for a while, you know how much we’ve grown over the years. What started out strictly as a testing/QA community naturally turned into this massive, global ecosystem of 15000+ professionals, tech leaders, and builders across all kinds of practices.
Since the tech world is moving fast, we figured…
The Validation Summit was an absolute success, and we want to say a huge thank you to everyone who made it happen!
To our amazing speakers - thank you for sharing your knowledge. You were absolutely incredible!
To our participants - thank you for your amazing energy, active participation, and great questions.
A Special Thank You to Our Stakeholders 🙌 A huge shout-out and heartfelt thank you to Adam Auerbach and T…
✨Want to score some awesome swag from our community?✨
It’s easy - just follow these steps!
How to Enter:
🔹Follow us on Instagram and/or LinkedIn.
🔹Join the Global QAHub Validation Summit.
🔹Share a photo in your story or feed showing your participation in the Summit, or any image related to the Summit experience. Don’t forget to tag us! (Sharing with close friends doesn’t count.)
🔹Submit your posts by June 29, 12:00 …
✨ GIVEAWAY ALERT! ✨
Want to win exclusive QAHub merch? 🎁👇
We aren’t just bringing you world-class insights from a stellar lineup of industry experts - we’re also giving you the chance to walk away with some awesome swag! 😍
🏆 WHAT YOU CAN WIN: One of these exclusive, limited-edition QAHub swag!
📝 HOW TO ENTER: Participating is super simple! Just follow these 2 quick steps:
1️⃣ Follow Us: Make sure you are followi…
Hello dear friends!
It’s time to announce the results of QAHub AI Hackathon 2026!
First, a huge thank you to everyone who joined and actively participated in the event! You're the best! 🚀
We’re truly amazed by your creativity, teamwork, and next-level projects. You all made these two days unforgettable! 💡🤖
Special shoutout to our winners:
🥇 Grayskull- Maciej Brzeski
🥈 ANYMUS- Sivasankaramalan Gunasekarasivam & Abh…
🚀 QAHub Validation Summer Virtual Summit 2026 🚀
Get ready for another evening of forward-thinking sessions! Day 2 brings together global experts to dive deep into the evolution of QA, trustworthy AI, agentic collaboration, and building strong testing communities. Don’t miss these inspiring talks and practical insights.
🗓 June 23-24, 2026
⬇️ Join: https://wearecommunity.io/events/qahub-summer-virtual-summit-2026
He…
🚀 QAHub Validation Summer Virtual Summit 2026 🚀
Hey friends! The Summit is almost here - a packed evenings of talks on AI, quality engineering, and the future of testing.
🗓 June 23-24, 2026
⬇️ Join: https://wearecommunity.io/events/qahub-summer-virtual-summit-2026
Here's your lineup for the first day of Summit:
🎤 Becoming an AI-Native Testing Organization
⏰ 19:00–19:45 (UTC +5) | Adam Auerbach, EPAM, VP, DevTes…
🔥4
Signed Altynay K.
Showing the 8 most recent of 8 posts we hold for @QualityAssuranceHub. 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.
Recruitmentblogs @Recruitmentblogs · 35,089 Telegram ranks this channel #36 of 57 here — alongside 56 others — read 2 September 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“Applied AI Hub” (@QualityAssuranceHub), 1,107 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/QualityAssuranceHub.
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.