📑 No password reset, no customer support, and no second chances. Lose your private key, and the funds are gone - instantly, forever. 🌐 “Not your keys, not your coins” isn’t a slogan, it’s math: whoever holds the key owns the funds. Phishing, malware, a leaked seed phrase - the door in doesn’t matter, the outcome does. ✅ The theft happens off-chain, invisible to blockchain monitoring. Laundering the funds is on-chai…

Channel
PureFi Announcements
@purefipro
On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
2,922subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001295153917 |
|---|---|
| Type | Channel |
| Username | @purefipro |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/purefipro |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 09:15 | 2,922 | -2 |
| 20 Aug 2026, 04:05 | 2,924 | +1 |
| 17 Aug 2026, 12:03 | 2,923 | -2 |
| 13 Aug 2026, 23:16 | 2,925 | +2 |
| 10 Aug 2026, 10:46 | 2,923 | -1 |
| 7 Aug 2026, 00:46 | 2,924 | no change |
| 7 Aug 2026, 00:36 | 2,924 | first reading |
Engagement
20 posts held, back to 25 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.04%
- avg views ÷ 2,922 subscribers
- Avg views / post
- 118
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 20 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.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 20 (25 March 2026 – 29 July 2026) |
| Views total | 118 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:00 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.
Recent posts
💸 $33 trillion in stablecoin transactions in 2025. The same speed, liquidity, and cross-chain mobility that power legitimate finance can also make stablecoins attractive to bad actors. 🔒 Tether froze $4.4 billion across 7,268 addresses. Every single action came after the funds had already moved, split, and touched wallets that had nothing to do with the original exploit. ✅ Regulators have made substantial progress …
Another huge partnership! Web3 builders on Ethereum will now be able to use our protocol to protect their users from interactions with bad actors
📑 The protocol wasn't hacked. The data it trusted was. 🌐 Oracle manipulation doesn't break code - it feeds the protocol a price it has no reason to doubt. ✅ The exploit closes in seconds. The laundering takes days - and that's exactly when dirty funds start touching protocols that had nothing to do with the original exploit. That's the window PureFi is building for. 🔗 Read article: Link
🤖 AI cracked 207 out of 405 already-exploited smart contracts in testing, with no researcher steering them. ⚡ That's not theoretical anymore - it's faster than any hacker group could move. ✅ Hacker or AI, the stolen funds still move through the same swaps and bridges. Tracing the full path - not just the last hop - is the only fix that actually works. 🔗 Read article: Link
🏴☠️ Sanctioned but still processing transactions. That's the structural gap in DeFi compliance. 💸 Direct exposure gets flagged, but two hops away - nobody sees it. That's how four exchanges moved billions through DeFi protocols that never knew they were involved. ✅ The check needs to trace the full chain, not just the last address. And it needs to run before the swap - not after. 🔗 Read article: Link
🤺 A hacker group with no funding problems, no legal risk, and a government as their employer. That's Lazarus Group. 💣 $6.71B stolen. 270+ incidents. By the time the headline drops - funds are already in ETH. By the time ETH is flagged - it's BTC across a thousand wallets. By the time BTC is traced - it's cash. ✅ The window to act isn't after the swap. It's before it - on-chain, at the smart contract level. That's w…
🔒 Staking is DeFi's most unexpected laundering vector. Deposits commingle in shared pools - and when funds exit, they carry the pool's history, not yours. 🌀 Staked tokens become collateral. The laundering step looks like a routine protocol interaction. ✅ The fix lives at the smart contract level - screening wallets before the first transaction is signed. 🔗 Read article: Link
🐇 Stolen crypto doesn't disappear, it hops 🌉 Bridges were built to move crypto between chains - but with no compliance layer, they're equally good at moving dirty ones. And by the time off-chain tools map the route, funds are already three chains deep. ✅ But bridges record every sender and destination. The data exists. The question is whether anything acts on it? 🔗 Read article: Link
🌪️ Every major crypto hack has one thing in common - Tornado Cash 🔄 Fresh wallet, one gas transaction from TC, DeFi protocol exploit, swaps, bridges, another TC transaction to "cash out" the stolen сrypto. Funds gone, forever. 🔗 By the time any off-chain analytics flags it, the window is closed. But there is a solution, and it's even on-chain. 🔗 Read article: Link
🔀 The laundering schemes didn't just grow - they restructured. 🌐 Bridges, staging, speed, mixers and DeFi itself. Five shifts that make the old AML stack helpless. 🎯 They all work for the same reason. They all can be stopped the same way. 🔗 Read article: Link
🇮🇷 $7.8B crypto ecosystem. 12M users. 4.5% of Bitcoin's global hashrate. Iran built one of the world's largest crypto economies, entirely under sanctions. ⚠️ AML problem isn't identifying the source, because wallets are known. The problem is what happens on-chain - bridges, mixers, and swaps that push dirty funds deeper into the ecosystem, hop by hop, until the origin is untraceable. ✅ The fix? - Screen wallets bef…
Showing the 12 most recent of 20 posts we hold for @purefipro. 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
Citation-graph rank — 323,259 of 1,604,161entries 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.
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.
@airdropforall · 123,729
Telegram ranks this channel #23 of 59 here — alongside 58 others — read 13 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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“PureFi Announcements” (@purefipro), 2,922 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/purefipro.
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.