Telegram RegisterThe public register of Telegram

Channel

Atleta Network

@atleta_network

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

106,804subscribers

-804 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001996560200
TypeChannel
Username@atleta_network
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/atleta_network

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

46,300 average views per post against 106,804 subscribers — an engagement rate of 43.3%. Across the 1,008 registered channels in the same cohort — 100,025–316,023 subscribers, posting mainly in English — the middle half sit between 1.23% and 9.59%, with a median of 4.15%.

What this was computed from
Window30 days (13 July 2026 12 August 2026)
Posts measured16 of 16 published in the window (0 exact, 16 rounded by Telegram)
Views totalled740,600
Mature posts only45.5% over 15 posts read at least 24h after publication
Subscribers106,804 measured 12 August 2026
Cohortb100000:eng · 1,008 channels · p10 0.27% · p25 1.23% · p50 4.15% · p75 9.59% · p90 18.0%
Position in cohort99.106th percentile · 10.4× the cohort median
Uncertainty±0.271% of the figure, from Telegram’s rounding
Post languageEnglish · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

106,804107,608107,2065 August 2026 — 107,608 subscribers6 August 2026 — 107,608 subscribers6 August 2026 — 107,470 subscribers7 August 2026 — 107,307 subscribers8 August 2026 — 107,210 subscribers9 August 2026 — 107,106 subscribers10 August 2026 — 107,017 subscribers11 August 2026 — 106,893 subscribers12 August 2026 — 106,804 subscribers5 August 202612 August 2026
9 measurements spanning 7 days, net -804. 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 106,683–107,729 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:13106,804-89
11 Aug 2026, 20:26106,893-124
10 Aug 2026, 23:01107,017-89
9 Aug 2026, 23:32107,106-104
8 Aug 2026, 23:34107,210-97
7 Aug 2026, 23:11107,307-163
6 Aug 2026, 21:33107,470-138
6 Aug 2026, 01:33107,608no change
5 Aug 2026, 23:41107,608first reading

Engagement

24 posts held, back to 3 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
43.3%
avg views ÷ 106,804 subscribers
Avg views / post
46,300
16 posts measured
Reaction rate
0.925%
reactions ÷ views · ER floor
Posts in window
16
of 24 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 12 August 2026
Posts held24 (3 July 202612 August 2026)
Views total740,600
Reactions total6,847
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:28 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.

What this channel posts

Video runtime
50s
Average length
25s

Measured directly from 2 videos 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.

Reaction mix

10,338 reactions across 22 posts, in 15 distinct kinds. The most used accounts for 18.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,89218.3%
👍1,47914.3%
1,41313.7%
💯1,22111.8%
❤‍🔥1,09410.6%
🎉1,0069.73%
👏5074.90%
🤩4374.23%
😍4244.10%
🥰4113.98%
3763.64%
🏆320.31%
👨‍💻210.203%
🤗160.155%
😎90.087%

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 24 of the 24 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 11,035reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 3 July 2026 to 12 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 24 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @atleta_network. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 24 most recent posts we hold for this entry, published 3 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

12 Aug 2026, 11:55 UTC≈11,000 views62 reactionsread 12 August 2026
Photo

The Competition Changes. The Context Should Travel Tonight in Salzburg, Champions League winners PSG meet Europa League winners Aston Villa in the UEFA Super Cup Two competitions become one match but the data around them should not reset. Player records, eligibility, media rights, sponsor context, match history and fan signals all carry value across the boundary. That handoff is what interoperability should mean i

🤗16🎉13💯87😎7🏆4👍3👨‍💻3

10 Aug 2026, 12:27 UTC≈40,700 views470 reactionsread 12 August 2026
Photo

One Championship, many data languages Sport does not speak in one data format. A race, fight, match, routine, or lap can produce completely different rules, metrics, media and qualification logic. Shared infrastructure should not flatten those differences. It should make them interoperable. Atleta Network multi-layer design maps naturally to that challenge: Execution for sport-specific logic, Storage for context a

🔥237❤‍🔥33😍32👍30💯2926🎉26🤩19

7 Aug 2026, 11:13 UTC≈44,200 views397 reactionsread 12 August 2026
Photo

The Real L1 Benchmark Is Workflow Density TPS still matters. But sport gives infrastructure a harder test. One match can create player data, media rights, access changes, payments, fan actions, performance signals, sponsor records and product updates at the same time. The question is not only how many transactions a network can process. It is how many connected workflows can stay reliable without losing context.

💯19847🔥32🤩28👍27🎉23❤‍🔥15😍12

6 Aug 2026, 10:13 UTC≈44,300 views419 reactions1 Starread 12 August 2026
Photo

A Sports Record Should Be Queryable, Not Just Immutable Web3 often stops at “this record cannot be changed.” Sport cannot. A player record, medical update, contract event, eligibility decision, or performance signal is useful only when products can find it, trace its source, understand its context, respect permissions and trigger the next action. Otherwise, immutability becomes an expensive archive. Atleta three-

🔥23732🎉28❤‍🔥26💯24🥰24👍16🤩15

4 Aug 2026, 19:04 UTC≈45,300 views385 reactionsread 12 August 2026
Photo

❗️Trading Update BitMart exchange has officially ceased operations. As a result, $ATLA trading on that platform is no longer available. This is entirely BitMart’s decision and has no connection to $ATLA or its ecosystem. Atleta Network continues to develop and grow as planned. $ATLA remains fully active and available for trading on: WEEX — www.weex.com/ru/spot/ATLA-USDT MEXC — www.mexc.com/exchange/ATLA_USDT If y

201🎉36👍33🔥3325❤‍🔥15🥰14😍11

3 Aug 2026, 12:31 UTC≈47,100 views336 reactionsread 12 August 2026
Photo

Sports Identity Needs Version History A new season does not create a new athlete. Club, number, role, eligibility, medical status, partners and permissions may change. The history behind them should not disappear. Sports products need more than a current profile. They need a verifiable timeline of what changed, when it changed and who was allowed to update or access it. Atleta’s architecture gives that idea a spo

👍198🔥33🤩20😍17❤‍🔥1513💯12🥰12

31 Jul 2026, 14:19 UTC≈44,700 views442 reactionsread 12 August 2026
Photo

Sports Deals Need Better Data Rooms Transfers, sponsorships, academy moves, media rights, medical context and club partnerships all depend on one thing: trusted information. Yet too many workflows still break across inboxes, PDFs, screenshots and private spreadsheets. The deal moves, but the context does not. Sport needs cleaner data rooms: verified records, controlled access, durable storage and execution logic t

💯207🔥6546👍41🎉28👏20🥰20❤‍🔥12

30 Jul 2026, 13:04 UTC≈40,400 views462 reactionsread 12 August 2026
Photo

Sports APIs Are the Real Web2 Onboarding Layer Mainstream sport will not enter Web3 through wallets, chain IDs, or protocol jargon. Clubs, leagues, brands, and service partners need something simpler: clean access to data, records, permissions, storage, payments, dashboards and reports. APIs are where blockchain stops feeling like a product and starts working like infrastructure. With EVM-compatible execution, in

🎉204👍5747🔥32🤩26❤‍🔥22🥰21💯19

29 Jul 2026, 12:58 UTC≈44,600 views535 reactionsread 12 August 2026
Photo

Club Communities Need Loops After the Spotlight Big tournaments create peak attention. Clubs need something stronger than a one-week spike. Competitions, challenges, recognition, status, content actions and visible club impact can turn fan energy into a rhythm that lasts beyond the headline cycle. @bcs_arena shows one route inside the Atleta ecosystem: fans act, climb leaderboards and move support back toward thei

236👍53🔥52🎉42😍40🥰37🤩26❤‍🔥25

27 Jul 2026, 11:01 UTC≈54,800 views497 reactionsread 12 August 2026
Photo

The Next Season Starts as an Infrastructure Problem The next season starts long before the opening whistle. Transfers move. Academies plan. Sponsors close reports. Partners connect systems. Fan campaigns reset. Products prepare for a new cycle. By late July, UEFA qualifying is already live while major leagues are still weeks from kickoff. The visible season may not have started, but its workflows have. Clubs, lea

❤‍🔥24952👍43🔥36🎉34👏24💯18😍14

24 Jul 2026, 12:02 UTC≈42,800 views491 reactionsread 12 August 2026
Photo

Sport Data Is Becoming Machine-Readable Sport is no longer producing data only for coaches, analysts, or fans. Movement patterns, biometrics, telemetry, performance signals, video context and training records are becoming inputs for AI systems. The challenge is no longer collecting more. It is making data structured, reliable, reusable and connected across products. Atleta Execution, Storage and Interoperability

👍22841🔥41👏36❤‍🔥30🎉26🥰25🤩23

23 Jul 2026, 12:46 UTC≈44,900 views501 reactionsread 12 August 2026
Photo

Tournament Attention Should Flow Back to Clubs The World Cup is over, but fan energy should not disappear with the final whistle. It can flow back into local communities: club support, creator activity, shared content, competition and the stories fans carry into the next season. @bcs_arena shows one route inside the Atleta ecosystem: club context, fan actions and leaderboard dynamics can turn a global attention sp

❤‍🔥223🔥57👍4542🎉40😍24🤩21🥰21

Showing the 12 most recent of 24 posts we hold for @atleta_network. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 108,706 of 1,151,006entries 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.

Forward network

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.

Mentions

Named by 8 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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.

Atleta TAP - Blockchain Testnet in Telegram mini app!
@AtletaTAP · 185,198
Telegram ranks this channel #6 of 82 here — alongside 81 others — read 11 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.

Domains linked from posts

6 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

atleta.network17 posts · 10 July 2026 – 7 August 2026 · example post
bcsarena.io3 posts · 3 July 2026 – 8 July 2026 · example post
bcsports.io2 posts · 12 July 2026 – 13 July 2026 · example post
drift.bcsports.ioregistrable domain: bcsports.io1 post · 15 July 2026 – 15 July 2026 · example post
www.mexc.comregistrable domain: mexc.com1 post · 4 August 2026 – 4 August 2026 · example post
www.weex.comregistrable domain: weex.com1 post · 4 August 2026 – 4 August 2026 · example post

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Atleta Network” (@atleta_network), 106,804 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/atleta_network.

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.