Channel
@swisstronik
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
45,344subscribers
-192 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001747737798 |
|---|---|
| Type | Channel |
| Username | @swisstronik |
| Description | The ultimate blockchain platform for compliant dApps & asset tokenization with enhanced user privacy | RegTech | RWA | DeCC Website: https://link.swisstronik.com/4za Twitter: https://link.swisstronik.com/1kg Discord: https://link.swisstronik.com/j55 |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/swisstronik |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:28 | 45,344 | -28 |
| 12 Aug 2026, 12:45 | 45,372 | -38 |
| 11 Aug 2026, 11:52 | 45,410 | -27 |
| 10 Aug 2026, 15:02 | 45,437 | -38 |
| 9 Aug 2026, 12:01 | 45,475 | -24 |
| 8 Aug 2026, 13:18 | 45,499 | -27 |
| 7 Aug 2026, 16:01 | 45,526 | -10 |
| 7 Aug 2026, 12:46 | 45,536 | first reading |
20 posts held, back to 13 March 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 19 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 22 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 14 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.
173 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 37.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 65 | 37.6% | |
| 🔥 | 55 | 31.8% | |
| 👍 | 38 | 22.0% | |
| 💯 | 7 | 4.05% | |
| 🆒 | 2 | 1.16% | |
| 👀 | 2 | 1.16% | |
| 👏 | 2 | 1.16% | |
| 👨💻 | 1 | 0.578% | |
| 🕊 | 1 | 0.578% |
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 173reactions 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 13 March 2026 to 22 June 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.
Swisstronik Mainnet is back and live! We’re back to building what matters most: regulated, privacy-first Web3 infrastructure with compliance, identity, and data protection built directly at the protocol level. This relaunch marks a new chapter. And we’re just getting started. And we’re not building it alone. Serious RWA and fintech projects are coming to Swisstronik - precisely the use cases that require complia…
❤28🔥4
The WEF highlights that decentralized identity cuts costs by 86%. Why? Because compliance is built into the contract with the vendor, not into the infrastructure. Swisstronik integrates KYC + AML + data protection directly into the protocol: just Intel SGX + zk-SNARKs without any third parties. 86% savings are not about marketing. This is the cost of your current choice.
👍9❤1👏1
The Most Expensive Money Is the Money You Can’t Use The most expensive money is the one that can’t be used. They are frozen in illiquid assets, they are blocked in the terms of the transaction and, of course, hidden in reliable instruments without access. High returns don't matter if the money is unavailable at the right moment. That’s why nowadays, liquidity is power.
🔥7
Companies pay 2–3% to transfer their own funds. Then they have to wait for three days. This is what correspondent banks charge because there is no alternative. The real problem lies in cash management. Intra-corporate cash gets stuck in queues, is eroded by currency spreads, and remains locked up because the infrastructure requires manual trust at every stage. CFOs who understand this aren’t thinking about crypto…
🔥6❤1
Regulation feels like a burden. It's actually a door that most competitors can't open. Big money needs it. Each license unlocks the next.
👍4🔥1
Tokenization is already part of financial infrastructure. Over the past few years, major institutions have begun moving real-world assets onto digital rails. 5 asset classes already being tokenized: - Treasury & money market funds BlackRock’s BUIDL crossed $1B AUM in 2025. - Real estate The Dubai Land Department is developing a regulated tokenization model. - Corporate bonds Siemens issued a €60M digital bond in…
🔥5❤1👀1
What Swisstronik Actually Does for Banks We have built a ready-to-deploy infrastructure designed specifically for financial institutions — so your team stays focused on asset management and client relationships, while compliance, privacy, and connectivity are handled by design. Here's how banks are using the platform today: 1. Tokenize real-world assets with confidence — issue and manage digital bonds and tokenize…
❤7👍1
The Agentic Economy is one of the most discussed trends of 2025–2026 AI agents + smart contracts = the future of Web3. But there’s a catch that almost no one is talking about. Privacy for privacy’s sake leads to delisting. We had already seen this in 2025. Institutional capital won’t enter a network that remains under regulatory scrutiny. Swisstronik isn’t about anonymity, but Threat-Resistant Privacy, where your…
❤5👍1
The EU is tightening the screws via AMLA. The US is drowning in a federal legal uncertainty The result for crypto-fintech is the Split-Brain Problem: a unified KYC system is impossible, and verifying customers once a year is no longer sufficient. The future lies in Perpetual KYC, which is possible with Swisstronik. We achieve this without surveillance or GDPR violations, but directly within smart contracts.
❤4👍2
Regulatory clarity is the #1 catalyst for institutional digital asset growth. - Coinbase & EY-Parthenon, 2025 And yet, 57% of institutional investors still cite regulatory barriers as their primary reason for staying on the sidelines. The gap between interest and action is real. Every treasury team, every investment committee, every compliance officer knows the opportunity. The question they ask is simpler: Who ca…
👍5❤1
Issue, Manage, and Track Your Digital Assets — All in One Place Managing digital assets shouldn't feel like juggling five tools at once — switching between dashboards, reconciling data, and hoping everything remains in sync. That's exactly why we built it differently. With Swisstronik, you can issue, manage, and track your digital assets within a single, unified environment — whether you're working with tokenized …
❤9
$33 trillion is already flowing through the stablecoin market. Get in now or miss your chance These figures make you think. In 2025, the volume of transactions with stablecoins reached $ 33 trillion, which is 72% more than last year, and by 2030, it is projected to reach $ 56 trillion. This is the story of the liquidity infrastructure, and it redefines how institutional capital flows, settles, and combines. For se…
🔥7👍3👏1🕊1
Showing the 12 most recent of 20 posts we hold for @swisstronik. 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 — 312,600 of 1,336,469entries 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.
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.
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.
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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Swisstronik” (@swisstronik), 45,344 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/swisstronik.
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.