Channel
@evrone
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
338subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001443222696 |
|---|---|
| Type | Channel |
| Username | @evrone |
| Description | Our website https://evrone.com FB: https://www.facebook.com/evrone Web development, UI/UX design, Devops #ruby #rails #golang #rust #javascript #react #vue #devops |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/evrone |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 21:33 | 338 | no change |
| 6 Aug 2026, 20:02 | 338 | first reading |
11 posts held, back to 28 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 pageof 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 6 August 2026 |
|---|---|
| Posts held | 11 (28 May 2026 – 6 August 2026) |
| Views total | 238 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 21:33 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.
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
101 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 45.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 46 | 45.5% | |
| 👍 | 34 | 33.7% | |
| ❤ | 16 | 15.8% | |
| 🤩 | 3 | 2.97% | |
| 🎉 | 1 | 0.99% | |
| 👏 | 1 | 0.99% |
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 101reactions 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 28 May 2026 to 6 August 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.
Can you publish 5–6 videos a week without a team of scriptwriters? We decided to find out. That's why we built Screenwriter – an AI-powered assistant that analyzes massive amounts of information, identifies the most relevant topics, and helps create scripts and interview briefs. In its first two months, Screenwriter helped us produce around 25 video episodes. One of our new shows also surpassed 240,000 views in le…
👍4🔥4❤2
When a monolith becomes a bottleneck, starting from scratch is not always the answer. One of the hardest challenges in software development is modernizing a system that is already running at scale and has become critical to the business. In this case, we worked with a platform processing millions of orders for a large restaurant network. As data volumes grew, performance issues started to appear: searching through …
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Vibe coding: a revolution in development or a new way to accumulate technical debt? Not long ago, putting together a working MVP required a team of developers and weeks of work. Today, all you need is an idea, an AI tool, and a couple of evenings. But that's where things get interesting. AI writes great code. Sometimes even really great code. But who's responsible for architecture? Security? Scalability? Making su…
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A powerful GPU cluster doesn't guarantee efficient use of compute resources. In our new case study, we share how we helped a research lab solve the challenge of sharing GPUs for ML workloads. One of the most interesting aspects of the project was the choice between MIG and time-slicing. Both approaches allow multiple tasks to run on a single GPU, but they work differently and aren't suitable for every type of hardw…
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An internal AI assistant doesn't have to be a separate application. We built Mimir – an assistant that lives in Telegram and helps with everyday tasks: answering questions, searching for information, maintaining conversation context, writing Python scripts for automation, and using them to handle routine operations. In the article, we share how Mimir grew from an internal tool into a full-fledged AI assistant power…
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We're probably all a little tired of posts about AI writing code. So here's a case study about a different kind of use. In a music streaming service with a multi-million user base, we integrated AI into the development process. It helps with code review, documentation, automated testing, and other routine tasks that usually eat up the team's time. At the same time, we optimized the platform's most resource-intensiv…
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Rust in 2026: rewrite or not? This question doesn't come up during a retro, and it's not a joke. It comes up when the pain becomes too obvious. When production crashes again due to a segfault. When you've spent three days hunting down yet another concurrency bug. When a new developer looks at the codebase and says: "I have no idea what's going on here." Rust solves specific problems. Memory safety, data races, low-…
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Sometimes the best redesign is the one users barely notice. When the Mindbox team started updating their product, it quickly became clear: they needed to change more than just the screens. As the platform grew, it became increasingly difficult to maintain and develop. So the work began with the frontend architecture. Evrone developers joined the Mindbox team and took part in building a new product structure. Indiv…
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Flutter or native? Each approach has its fans who are ready to argue until they're blue in the face. But outside of internet battles, the choice usually comes down to three things: how much time to launch, how much money for maintenance, and what kind of experience users need. In the cards – our version of the pros and cons, without trying to declare a winner. And now a question for those who actually write code or…
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Large streaming services have one particular characteristic: you almost can't just "rewrite" them properly. While developers change the architecture, the product keeps living – people watch shows, streams go live, new releases come out, marketing runs special projects. Everything has to keep working simultaneously. Our work with mоre tv and CTC's platforms wasn't a "we built a cool new service from scratch" story. I…
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There is no single "right" framework in Go. And that's perfectly fine. Some need a lightweight router with nothing extra. Others need a heavy MVC with ORM, authorization, and code generation. The choice depends not on trends but on the task: microservices, highload, monolith, MVP, or enterprise. A Go framework doesn't make code "magically better." It just takes care of the routine: routing, JSON handling, validatio…
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Showing the 11 most recent of 11 posts we hold for @evrone. 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.
Citation-graph rank — 1,300,749 of 1,549,704entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Evrone” (@evrone), 338 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/evrone.
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.