Channel
@wearemagnets_en
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17subscribers
+11 since we began measuring on 1 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003982349131 |
|---|---|
| Type | Channel |
| Username | @wearemagnets_en |
| Created | Between 1 April 2026 and 23 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 1 September 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/wearemagnets_en |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 10:40 | 17 | +8 |
| 2 Sept 2026, 06:34 | 9 | +3 |
| 1 Sept 2026, 14:15 | 6 | first reading |
11 posts held, back to 23 August 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 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 1 September 2026 |
|---|---|
| Posts held | 11 (23 August 2026 – 1 September 2026) |
| Views total | 879 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 14:15 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.
Measured directly from 1 video 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.
42 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 35.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ⚡ | 15 | 35.7% | |
| 👀 | 7 | 16.7% | |
| ❤🔥 | 6 | 14.3% | |
| 🕊 | 6 | 14.3% | |
| 👨💻 | 5 | 11.9% | |
| 🤷♀ | 3 | 7.14% |
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 11 of the 11 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 August 2026 to 1 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.
🧲 How to brief your agent right The agent almost never gets it wrong on its own — it fills in whatever you didn't say. Five lines cut out most of the rework. ▫️ Goal — what the result is for and why. Not "look at the ads", but "see which channel is burning the budget". ▫️ Reader — who will read this. A text for a client and a text for yourself are written differently. ▫️ Format — table, letter, post, five bullet po…
⚡2❤🔥2👨💻2
🧲 The first five minutes: from /start to your first result You do not set an agent up, you talk to it. Here is what happens after /start. ▫️ Step 1. Accept the terms, switch on the trial — no card needed — and give your bot a name. ▫️ Step 2. Introduction. In your own words: who you are, what you do, how to address you. This is the first entry in the agent's memory, and everything after builds on it. ▫️ Step 3. Per…
❤🔥2👀2👨💻2
🧲 It is 2 a.m., you are stuck on one step, and the group chat is asleep. You do not need another PDF. You need someone to answer this question, now. Create your own AI tutor inside Telegram in a minute — awake at any hour, never bored of your mistakes. What it can do: ▫️ photograph the question — it walks you through it step by step, not just the answer ▫️ send a voice note and it explains back by voice ▫️ reads a…
⚡2
🧲 Invite a colleague: who to ask and what to write /referral hands you your link in a second. The hard part is not the link — it is who you send it to and what you write next to it. The sign is easy to spot: the person has a routine they redo by hand every week and complain about out loud. Stitching one report together out of three exports, transcribing calls. If you can name that routine in a single phrase, the li…
⚡1
🧲 Marketer: the weekly recap while you are still commuting Monday, 9:10, you are still on your way. The recap for last week is already sitting in the chat. Here is what it is built from. Once, the evening before, you explained to your agent what your channels are and which numbers matter, and asked it to remember that. After that it runs in a loop: ▫️ Exports. On Friday you drop the reports into the chat — pdf, cs…
⚡2👀2🤷♀1
🧲 Why the agent asks one more question The moment an agent stops looks like this. The task is clear, but one piece of it is missing. "Put together the report for last week" — does the week start on Monday or on the day the flight went live? Is the report a table or an email to your manager? At that point it has two roads. ▫️ Guess. Take the most common option and move on. It comes out fast and plausible — and you …
⚡2🕊2🤷♀2
🧲 One task instead of five rewrites One message from you is enough. You name the task — from there the agent goes on its own: ▫️ collects the material and keeps only what works for the task ▫️ asks in one list everything it does not know about your project and your audience ▫️ brings back a result where every claim traces back to a source You step in once — when it has asked its questions. The rewrites move to the…
⚡2👀2🕊1
🧲 "It got into the container itself, found the keys and fixed everything" Alexey shared an honest account of using the agent. No polish, real examples. What he handed over: calendar, tasks, mail. The agent watches the inbox, filters spam, creates tasks from voice notes and learns the patterns. His ratings: ▫️ Text — 5/5 He recorded audio, the agent transcribed it, analysed it, cleaned out the filler words and cha…
⚡1👀1
🧲 "I launched a personal agent in one day and handed it real work the same afternoon" Dina's account, in her own words. Setting up took very little time. The agent asked a few questions about me, what I do and which processes I need help with. Then we went straight to work. That same day a real task came up: a cost estimate for a festival installation. I uploaded everything — the project description, the visualisa…
👨💻1🕊1
🧲 Seven days with an agent: from a raw idea to a brand with a landing page and pre-orders We ran an experiment. Take a real idea at the very start and walk it through the first working steps together with an agent — from a chaotic "I want to make my own thing" to positioning, a competitive picture and a plan. At the centre: Eva Chernykh, architect and concept designer. She works with space, visual research and AI, …
⚡1
🧲 The essay that shook Silicon Valley Matt Shumer wrote about what comes next. We pulled the key takeaways into cards. His advice, quoted: ▫️ Start using AI seriously Not as a search engine. Pay for Claude or ChatGPT — it is about twenty dollars a month. And make sure you are using the strongest model, not the default one. ▫️ Rethink what you tell your children The traditional path — good grades, a prestigious un…
⚡2❤🔥2🕊2
Showing the 11 most recent of 11 posts we hold for @wearemagnets_en. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“We Are Magnets” (@wearemagnets_en), 17 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/wearemagnets_en.
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.