πΛπ FH KAYNA π β‘ pinned «»

Channel
πΛπ FH KAYNA π β‘
@fhkayna
On this record: Topic Β· Growth Β· Engagement Β· Reactions Β· Posts Β· Citations Β· Cite this entry
37subscribers
+12 since we began measuring on 10 October 2026
Risers and fallers across the register Β· movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002316567903 |
|---|---|
| Type | Channel |
| Username | @fhkayna |
| Created | 25 December 2024 β measured β dated from the channelβs first post |
| First recorded | 10 October 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/fhkayna |
Topic
Other / unclassifiable β a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channelβs own recent posts on 27 October 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a modelβs 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 β it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 00:06 | 37 | +3 |
| 27 Oct 2026, 11:58 | 34 | +6 |
| 20 Oct 2026, 21:34 | 28 | +3 |
| 10 Oct 2026, 13:22 | 25 | no change |
| 10 Oct 2026, 12:47 | 25 | first reading |
Engagement
20 posts held, back to 25 December 2024 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 1 page of Telegramβs 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 β we hold 20 posts for this entry, the most recent from 5 October 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
7 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 6 | 85.7% | |
| π₯° | 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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 3 of the 20 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 7 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 20 most recent posts we hold, published 25 December 2024 to 5 October 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
160 honest review π
TELEPREM 49K TELESTARS 13.8K UBOT 1,5K/B NOKTEL 5,5K NOKWA 4,5K ROBUX 13K/100R NETFLIX START 900P CAPCUT 5K YT FAMP 1K CANVA 100P https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1
β€4
NETFLIX START 500P CANVA START 500P YT FAMP 1K DISNEY 3K CAPCUT 7K NOKTEL INDO 6K NOKTEL USA 7K NOKWA 4K TELEPREM 49K STARS 3K https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1
hari ini terakhir, yuk jajan
gassss
β€ PROMO SAMPAI BOSEN! netf 1p1u 1day: 1.800 netf 1p1u 3day: 4.500 netf 1p1u 7day: 6.500 π₯Ήprib: +1k teleprem 1month no indo: 50.000 teleprem 1month no luar: 52.000 π₯Ήavail for resell & prib tag @.aanting avail inrush π
βΌοΈ RESELLER TERMURAH SERASA FH βΌοΈ NETFLIX 1DAY 1,8K NETFLIX 3DAY 4,5k NETFLIX 7DAY 6,5k TELEPREM 50K TELESTARS 4K NOKTEL 5K NOKWA 3K https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1 https://t.me/+8vVfa7xNxsxmMGU1
πΛπ FH KAYNA π β‘ pinned Β«πΛπ honest review t.me/fhkayna :3 β‘ πΒ»
βΌοΈ ANNOUNCEMENT βΌοΈ kalian lagi cari firsthand telegram premium, stars, noktel & nokwa yang murah meriah + trusted?? @fhkayna solusinya π€©π€© teleprem: 50.000 telestars: 13.000 noktel: 4.000 nokwa: 3.000 egiluuuyy murah-murah banget kannn? cocok banget buat di resell & penggunaan pribadi π€―π€― prosesnya super duper cepet, anti lelet!!! satset abis pokoknya, adminnya juga ramah tamah :3 cussss buruan join @fhkayna sebelumβ¦
π₯°1
I'm sharing DANA Kaget now! Let's claim it before it's gone πΈπΈπΈ kamu lagi cari first hand telegram premium, stars, noktel, nokwa & app premiums yang murah meriah tapi trusted? @fhkayna solusinya!! yuk kepoin pricelistnya π€©π€© telegram premium: 49.000 telegram stars: 4.000 nokos telegram: 4.000 nokos whatsapp: 3.000 netflix: start 1.000 capcut start: 500p ubot start 1.500 murah-murah banget kan? cocok buat di jual kβ¦
β€2
βΌοΈ FIRST HAND TERMURAH SE-TELEGRAM βΌοΈ teleprem: 49.000 telestars: 13.500 nokos telegram: 4.000 nokos whatsapp: 3.500 murah-murah banget kann?? cocok banget buat di resell ataupun buat personal use ^___^ buruan join @fhkayna sebelum linknya dicabut!! prosesnya super duper cepet && selalu on 24 jam <3 https://t.me/+vdDwcGrn9aEyZjFl https://t.me/+vdDwcGrn9aEyZjFl https://t.me/+vdDwcGrn9aEyZjFl https://t.me/+vdDwcGrn9β¦
Showing the 12 most recent of 20 posts we hold for @fhkayna. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
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 1 registered channel β 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 β that handle may belong to someone else now, and crediting todayβs namer to yesterdayβs 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 β 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 β the βNamed by N registered channelsβ 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 4 November 2026 β this entry's latest reading, not the date you are reading this.
βπΛπ FH KAYNA π β‘β (@fhkayna), 37 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/fhkayna.
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 Β· 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.