Channel
@chainalysisinc
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,199subscribers
+47 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001824200608 |
|---|---|
| Type | Channel |
| Username | @chainalysisinc |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/chainalysisinc |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 14:01 | 1,199 | +11 |
| 1 Sept 2026, 02:07 | 1,188 | +7 |
| 28 Aug 2026, 15:43 | 1,181 | +3 |
| 25 Aug 2026, 22:58 | 1,178 | +3 |
| 23 Aug 2026, 04:56 | 1,175 | +4 |
| 20 Aug 2026, 03:07 | 1,171 | +1 |
| 16 Aug 2026, 17:57 | 1,170 | +1 |
| 13 Aug 2026, 01:35 | 1,169 | +7 |
| 10 Aug 2026, 06:18 | 1,162 | +10 |
| 7 Aug 2026, 10:02 | 1,152 | no change |
| 7 Aug 2026, 09:48 | 1,152 | first reading |
18 posts held, back to 16 June 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
7 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 4 | 57.1% | |
| 🍌 | 1 | 14.3% | |
| 🔥 | 1 | 14.3% | |
| 🤔 | 1 | 14.3% |
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 7 of the 18 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 16 June 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.
While most crypto crime unfolds online, physical violence against holders is accelerating. With $30M already stolen in 2026, "wrench attacks" and home invasions are on pace for a record year, with France emerging as the primary global hotspot. Read our new research for a breakdown of these physical threats and how the stolen funds are laundered on-chain: chainalysis.com/blog/violent-crypto-wrench-attacks-2026
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Bad data creates real operational risk. If your blockchain analytics provider gets attribution wrong, the cost shows up fast: wasted hours, unnecessary escalations, customer offboarding, and missed exposure. In this session, we’ll cover: ✅ The standards Chainalysis uses to cluster and label blockchain entities ✅ What incorrect attribution actually costs your team ✅ How independently tested, verified, court-proven s…
Announcing Cronos support! 🚀 We now automatically track Cronos tokens, enabling full investigation and compliance workflows. Cronos Network is a purpose-built settlement layer for stablecoins and tokenized assets, supported by Crypto.com. It is also the network powering Cronos App. Read more here: chainalysis.com/blog/cronos-automatic-token-support
Every enforcement action, subpoena, and prosecution that leverages blockchain intelligence comes back to one question: can the data hold up? Join Chainalysis for our government-exclusive webinar, Mapping the Unknown: Data Quality Standards for Blockchain Analytics, as we uncover: 🔹 The standards Chainalysis uses to cluster and label blockchain entities 🔹 What court-proven, independently tested, and verified standar…
Bad blockchain data does more than create noise. It creates real operational cost across compliance and investigation workflows. In blockchain analytics, addresses do not identify their owner on their own. The industry depends on providers to map addresses to real-world entities, and those mappings must be consistent, reliable, and able to withstand scrutiny. In this webinar, we’ll break down what high-quality stan…
OFAC has designated three individuals and seven TRON addresses tied to a Hamas financing network that received ~$38.6M in crypto. On-chain analysis reveals direct links between the newly sanctioned wallets and addresses previously seized by Israel's NBCTF, illustrating the critical role regional OTC exchange offices play in terror financing. Chainalysis has labeled all relevant addresses in our product suite. Read…
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🏅 For the second consecutive year, Chainalysis has been named to the CNBC and Statista World's Top Fintech Companies 2026 list! This year, we are featured under the newly introduced Regtech category. At Chainalysis, our mission remains the same: build trust in blockchains. This recognition reflects the growing importance of that mission as the digital asset ecosystem matures and the demand for responsible innovation…
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We're honored to contribute to Global Blockchain Business Council (GBBC)'s 101 Real-World Blockchain Use Cases Handbook (2026 Edition), a resource designed to help policymakers, regulators, and government agencies understand how blockchain technology is being applied across industries and jurisdictions today. Building trust in blockchain has been at the core of our work since day one. Read more about our use case #6…
Announcing Stable support! 🚀 We now automatically track Stable tokens, enabling full investigation and compliance workflows. Stable is a USDT-native layer 1 built for stablecoin payments, with sub-second finality, predictable fees, and high-throughput performance Read more here: chainalysis.com/blog/stable-automatic-token-support
🗓 Live Webinar: July 30, 2026 What Financial Institutions Should Know About Stablecoins, RWAs, and On-Chain Rails New Chainalysis research is here. We're breaking down the forces reshaping payments, capital markets, and institutional infrastructure. What we'll cover: 🔹 Stablecoin payments vs. legacy rails 🔹 Tokenized RWAs and institutional adoption 🔹 AI agents transacting on-chain 🔹 Tokenomics evaluation frameworks…
Ethereum’s most notorious sandwich attacker just lost $7.5 million to a honeypot. Read our latest research explaining the theft, where the money’s gone, and how you can avoid getting hacked. https://www.chainalysis.com/blog/sandwich-attack-jaredfromsubway-hack/
Yesterday, OFAC issued sanctions against ISIS-supporting financiers that moved crypto across borders for the terror group. Among the targets: Syria-based MSB Bitcoin Xchange and Turkish MSB Spider. Read more here: https://www.chainalysis.com/blog/ofac-sanctions-isis-financial-facilitators-june-2026/
Showing the 12 most recent of 18 posts we hold for @chainalysisinc. 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.
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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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“Chainalysis” (@chainalysisinc), 1,199 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/chainalysisinc.
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.