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Channel

BA community

@BAunity

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

2,494subscribers

-3 since we began measuring on 6 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001485127023
TypeChannel
Username@BAunity
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 September 2026
Last confirmed live26 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/BAunity

Topic

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 26 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

2,4802,4972,488.56 September 2026 — 2,497 subscribers6 September 2026 — 2,497 subscribers9 September 2026 — 2,480 subscribers13 September 2026 — 2,483 subscribers17 September 2026 — 2,488 subscribers26 September 2026 — 2,494 subscribers2,4946 September 202626 September 2026
6 measurements spanning 20 days, net -3. 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 2,477–2,500 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 07:202,494+6
17 Sept 2026, 12:012,488+5
13 Sept 2026, 03:372,483+3
9 Sept 2026, 04:412,480-17
6 Sept 2026, 02:222,497no change
6 Sept 2026, 01:472,497first reading

Engagement

20 posts held, back to 7 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.35%
avg views ÷ 2,494 subscribers
Avg views / post
208
3 posts measured
Reaction rate
2.24%
reactions ÷ views · ER floor
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 4 September 2026
Posts held20 (7 July 2026 – 4 September 2026)
Views total625
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 02:22 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

88 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 45.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4045.5%
❤3742.0%
👍77.95%
🤔22.27%
👏11.14%
😁11.14%

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 20 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 88 reactions 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 7 July 2026 to 4 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.

Recent posts

4 Sept 2026, 06:52 UTC158 views3 reactionsread 6 September 2026
Photo

🟢 The AI model race is entering a new phase: models now have to compete not only with each other, but also with their own previous versions. A good example is the new Claude Fable 5.1 , released by Anthropic only a few months after Fable 5. https://lnkd.in/p/dWPQbCxn What is especially interesting here is not another benchmark number, but the direction of travel. According to Anthropic’s own evaluations, Fable 5.1 …

❤1👍1🔥1

2 Sept 2026, 10:24 UTC212 views8 reactionsread 6 September 2026
Photo

Meet the new HTTP method: QUERY If you've ever built search-with-filters, you know this pain: 👉 GET /products?category=laptops&brand=example It starts simple. Then it grows — multiple filter groups, AND/OR logic, date ranges, multi-field sorting, pagination, geo-boundaries. At some point the query string can't carry that complexity anymore, and the team is stuck choosing between two bad options. 1️⃣ 𝗢𝗽𝘁𝗶𝗼𝗻 𝟭: 𝗦𝘁…

❤3👍3🔥2

31 Aug 2026, 10:14 UTC255 views3 reactionsread 6 September 2026
Photo

The Fourth Foundation of Business Analysis: Don't Fall in Love with the First Solution 4️⃣ By the time we get to a solution, we already know who is affected, what the business needs, and what kind of change is required. Now comes the next question: "What are we actually going to build or change?" This is where Business Analysts can add a lot of value. Because stakeholders often come to the table with a solution alr…

🔥2❤1

24 Aug 2026, 07:07 UTC373 views6 reactionsread 6 September 2026
Photo

Nobody starts their career knowing exactly where they fit. I didn't 🤔 Before landing in business analysis, I tried a few different directions and spent real time in each of them. The coding phase I started with frontend development. JavaScript, HTML, CSS. I liked building things visually and got far enough to understand how software actually works under the hood. But after a while I noticed I was more interested …

❤4🔥2

21 Aug 2026, 06:56 UTC389 views7 reactionsread 6 September 2026
Photo

The Third Pillar of Business Analysis: Mastering Change Management ✔️ In our ongoing series exploring the foundations of Business Analysis, we’ve covered Stakeholders and Needs. Now, let’s dive into the often overlooked yet critical aspect of BA work - Change Management. Why Change Matters According to McKinsey, 70% of organizational change initiatives fail. Why? Because while systems and processes can be implement…

🔥3❤2🤔2

17 Aug 2026, 09:55 UTC393 views4 reactionsread 6 September 2026
Photo

The Second Foundation of Business Analysis: Understand the Need, Not the Solution 🤝 After identifying the right stakeholders, the next question is simple: "What problem are we actually trying to solve?" It sounds obvious. In reality, it's one of the most common reasons projects miss the mark. Stakeholders rarely describe their need. They describe the solution they already have in mind. A practical way to spot the …

🔥3❤1

14 Aug 2026, 09:54 UTC400 views4 reactionsread 6 September 2026
Photo

Why Good Requirements Are About Value, Not Just Documentation 📝 In many teams, the quality of requirements is judged by how detailed they are. Clear structure, full coverage, precise acceptance criteria — all of that matters. But detailed doesn’t always mean valuable. I’ve seen a team spend weeks documenting and building a feature with perfect requirements — every edge case covered, every scenario described. After …

🔥3❤1

13 Aug 2026, 09:36 UTC355 views6 reactionsread 6 September 2026
Photo

AI WON’T MAKE YOU A SENIOR BA — BUT WHAT WILL ❓ AI can write user stories, summarize workshops, generate diagrams, and propose edge cases. That’s useful. But it’s not “seniority”. A Senior BA/SA isn’t the person who has AI doing the work instead of them. It’s the person who can work with AI—and still own the thinking. Seniority = your ability to use AI as a co-pilot, not a replacement. What actually makes you seni…

❤5🔥1

12 Aug 2026, 05:36 UTC355 views2 reactionsread 6 September 2026
Photo

Tactical Forking in Practice: An Approach to Microservices Migration Migrating from a monolith to microservices is often seen as expensive, time-consuming, and risky. But what if there’s a way to evolve your system gradually – without rebuilding it from scratch? Join us on August 26 as we explore tactical forking – a strategy that helps you evolve existing architectures, reduce migration risks, and make the transit…

👏1🔥1

6 Aug 2026, 14:23 UTC438 views4 reactionsread 6 September 2026
Photo

AI TOOLS FOR BAs: WHAT ACTUALLY “STUCK” BY 2026 🔗 In 2023–2024 we tried everything. By 2026, a few patterns clearly survived the hype — because they reduced cycle time without degrading analysis quality. Agentic workflows became normal. Not “chatting with AI”, but delegating: research → extract → compare → draft → validate. BAs increasingly run small agents for repetitive work: backlog grooming prep, requirements …

🔥3❤1

4 Aug 2026, 06:59 UTC406 views5 reactionsread 6 September 2026
Photo

The First Foundation of Business Analysis: Start with the Stakeholders 👨‍👩‍👦 Every successful analysis starts with one simple question: Who are we solving this for? Before discussing requirements, solutions, or business value, identify the people who will influence the change, or who will be affected by it. This is why Stakeholders are the first foundation of Business Analysis. Every other decision depends on getti…

🔥3❤2

3 Aug 2026, 07:59 UTC365 views4 reactionsread 6 September 2026
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TYPICAL BA MISTAKES WHEN INTRODUCING AI INTO TEAM PROCESSES ⛔️ AI doesn’t fail in teams — implementation does. In multiple projects, I see the same pattern: strong expectations, weak outcomes. Not because AI is immature, but because Business Analysts approach it with the wrong mental model. Here are the most common mistakes: • Treating AI as a tool, not a workflow change Embedding ChatGPT into tasks without redesi…

👍2❤1🔥1

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

GetAnalyst - Навыки • Системный анализ • Бизнес-анализ
@getanalysts · 22,509
Telegram ranks this channel #80 of 96 here — alongside 95 others — read 20 September 2026
Системный анализ | Ольга Пономарева
@system_analyse · 31,554
Telegram ranks this channel #81 of 97 here — alongside 96 others — read 6 September 2026

This channel appears in 2 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“BA community” (@BAunity), 2,494 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/BAunity.

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.