Telegram RegisterThe public register of Telegram

Channel

HFZ Activator Official

@Hfzactivator

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

29,882subscribers

+207 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001479866371
TypeChannel
Username@Hfzactivator
Descriptionofficial channel HFZ Activator
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Hfzactivator

Topic

Software piracy — 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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@hfzactivatorofficil/11427 Jul 2026, 09:39 UTC@Hfzactivator/6284 · this entry6 Aug 2026, 22:59 UTC1.0011 days
@Hfzactivator/6263 · this entry28 Jul 2026, 12:28 UTC@hfzactivatorofficil/12028 Jul 2026, 12:51 UTC1.0023 minutes
@hfzactivatorofficil/12329 Jul 2026, 22:12 UTC@Hfzactivator/6268 · this entry29 Jul 2026, 22:13 UTC1.00under a minute
@Hfzactivator/6272 · this entry30 Jul 2026, 10:02 UTC@hfzactivatorofficil/12430 Jul 2026, 10:03 UTC1.00under a minute
@Hfzactivator/6275 · this entry30 Jul 2026, 14:13 UTC@hfzactivatorofficil/12530 Jul 2026, 14:50 UTC1.0037 minutes
@Hfzactivator/6280 · this entry31 Jul 2026, 13:17 UTC@hfzactivatorofficil/12631 Jul 2026, 13:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hfzactivatorofficil8 (8/8 hand-verifiable sample passed)0.9912 minutesthis entry (53)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 28 July 2026 to 6 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @hfzactivatorofficil. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

29,67529,88229,778.56 August 2026 — 29,675 subscribers7 August 2026 — 29,709 subscribers8 August 2026 — 29,742 subscribers9 August 2026 — 29,766 subscribers10 August 2026 — 29,792 subscribers12 August 2026 — 29,833 subscribers12 August 2026 — 29,853 subscribers14 August 2026 — 29,882 subscribers6 August 202614 August 2026
8 measurements spanning 7 days, net +207. 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 29,644–29,913 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:0429,882+29
12 Aug 2026, 23:1529,853+20
12 Aug 2026, 02:4629,833+41
10 Aug 2026, 23:5129,792+26
9 Aug 2026, 21:5229,766+24
8 Aug 2026, 21:0029,742+33
7 Aug 2026, 18:4129,709+34
6 Aug 2026, 19:1729,675first reading

Engagement

28 posts held, back to 27 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.0%
avg views ÷ 29,882 subscribers
Avg views / post
8,350
28 posts measured
Reaction rate
0.431%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 11 August 2026
Posts held28 (27 July 202611 August 2026)
Views total233,890
Reactions total1,009
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 14:37 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

Photos
1,070
Videos
54
Links
971

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. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

1,009 reactions across 28 posts, in 11 distinct kinds. The most used accounts for 62.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
62962.3%
🔥19018.8%
👍646.34%
😱494.86%
🙏262.58%
💯131.29%
👏111.09%
🥰90.892%
🆒70.694%
🎉60.595%
😍50.496%

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 28 of the 28 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 1,009reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 27 July 2026 to 11 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.

Recent posts

11 Aug 2026, 12:26 UTC≈4,340 views48 reactionsread 14 August 2026
Photo

HFZ Ramdisk : if Your Have Backup from onther Tool and can not restore the backup you can try with HFZ Ramdisk And done 100%

36👍6😱6

10 Aug 2026, 22:05 UTC≈5,060 views10 reactionsread 14 August 2026
Photo

🍏🔥Server Fixed for iBridge 9 till 10.7 🔥 🔥New Version🔥 HFZ-Activator-T2-MDM-Remove v2.6 (mac) Full Unlock MDM Not Bypass ✅ ( New Tool Verison Auto Serial Change 1-Click ) Permanent Unlock MacBook MDM Remote Device Management Lock on Latest MacOS Sequoia T2 Models iBridgeOS 9.x till 10.7 ( Auto SN Change Method v2.6) -Added Button SN Change ( Any SN your Can type Even your name 😁) 🎥 Video Guide Watch Now: https:/

9💯1

9 Aug 2026, 23:41 UTC≈6,070 views24 reactionsread 14 August 2026

Why Choo$e HFZ Ramdi$k /iHello HFZ 😎🚀 🏆 The Original Solution by TEAM HFZ. Don’t trust fake copies. Choose the original. ✅ HFZ Ramdisk work iPads (100% ) Onther tool Fake iPads (Not work ) ✅ Essential iServices(iphone /ipads work after bypass ONTHER Tool Not work ✅ No common bugs like main ✅ Stable and smooth performance ✅ Easy to use with a clean experience 🔥 Supports the latest versions 🔥 Regular updates and impr

16💯5🙏2🥰1

9 Aug 2026, 23:37 UTC≈5,480 views12 reactionsread 14 August 2026

✅iCloud Login ✅Reboot ✅App Store ✅Apple Pay ✅FaceTime ✅Notifications ✅ imessages

👍75

9 Aug 2026, 16:23 UTC≈6,220 views28 reactionsread 14 August 2026

HFZ Ramdisk v2.4.1 (Mac) Hello screen : iPad Air (3rd generation) - iPad mini (5th generation) - iPad (8th generation) - iPad (9th generation) how to Use : 1. Enter pwnedDFU 2. Reset device for clean bypass with iBoot Factory & wait until booted up to hello screen. Enter WiFi password, go to activation lock screen. 3. Then enter pwnedDFU again 4. Click change SN. Wait until purple screen appear. Screen should ask u

26🔥2

6 Aug 2026, 23:12 UTC≈7,590 views21 reactionsread 14 August 2026
Photo

Beware of this scammer! He claims to be a direct source fmi off or fake name tools with fake group . He has no legitimate business and is simply stealing customers' money. Help us spread the word about this thief so everyone knows about him and doesn't lose their money scammer and fake tools @usaimeicom +971 55 787 9810 notif: Our lawyer has filed a report with the police in their place of residence.

14👍5🔥2

6 Aug 2026, 23:01 UTC≈6,880 views9 reactionsread 14 August 2026

⚔ FIRST IN THE WORLD⚔ 🔥 NEW UPDATE 🔥 🔤 HFZ-Activator-iWatch-Ramdisk v1.1 (mac) hello screen -Passcode Change log - Added Owner info Extract function - Added With signal bypass for cellular iWatches 🚀Software Benefits, - Bypass Hello screen iWatches One click - Bypass Passcode iWatches with signal - Extract owner info from Passcode iWatches - Support up-to latest watchOS (10.5 - 10.6.2) 🚀Supported Models, -Apple

9

6 Aug 2026, 22:59 UTC≈6,450 views14 reactionsread 14 August 2026
Photo

⚔ FIRST IN THE WORLD⚔ 🔥 NEW UPDATE 🔥 🔤 HFZ-Activator-iWatch-Ramdisk v1.1 (mac) Change log - Added Owner info Extract function - Added With signal bypass for cellular iWatches 🚀Software Benefits, - Bypass Hello screen iWatches One click - Bypass Passcode iWatches with signal - Extract owner info from Passcode iWatches - Support up-to latest watchOS (10.5 - 10.6.2) 🚀Supported Models, -Apple Watch Series SE -Apple

13🔥1

3 Aug 2026, 00:58 UTC≈10,200 views70 reactionsread 14 August 2026
Photo

⭐️User feedback

🔥41👍1410🎉3💯2

1 Aug 2026, 18:03 UTC≈11,200 views102 reactionsread 14 August 2026

comning Soon 🔥✅ First in The world again 🔥✅ 100% work iPad Air (3rd generation) - iPad mini (5th generation) - iPad (8th generation) - iPad (9th generation) ⏱️⏱️⏱️⏱️

69🔥16🙏8😱6👍2🎉1

31 Jul 2026, 13:17 UTC≈12,500 views67 reactionsread 14 August 2026

Why Choo$e iHello HFZ ? 😎🚀 🏆 The Original Solution by TEAM HFZ. Don’t trust fake copies. Choose the original. ✅ Hello Screen No SN Change (onther tool need sn change ) ✅Face iD -Battry work perfect (onther tool No ) ✅ Essential iServices work after bypass ✅ Camera works perfectly ✅ No common bugs like main camera issues found in many other tools ✅ Stable and smooth performance ✅ Easy to use with a clean experience

53🔥9👍5

Showing the 12 most recent of 28 posts we hold for @Hfzactivator. 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 — 4,674 of 1,340,412entries 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

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 9 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.

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

“HFZ Activator Official” (@Hfzactivator), 29,882 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Hfzactivator.

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.