KLARIFIKASI RESMI – FADELSM Saya ingin menegaskan bahwa saya tidak terlibat, tidak bekerja sama, dan tidak bertanggung jawab atas pihak yang menggunakan Baileys/FadelSM & Fadelsmsync untuk aktivitas blast judi online (JUDOL). Library ini dikembangkan untuk kebutuhan pengembangan bot, bukan untuk aktivitas ilegal. Segala penyalahgunaan oleh pihak ketiga berada di luar kendali dan bukan tanggung jawab saya. FadelSM…
Channel
fadelsm
@shiwduit
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3subscribers
+0 since we began measuring on 14 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003938346054 |
|---|---|
| Type | Channel |
| Username | @shiwduit |
| Created | Between 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 November 2026 |
| Last confirmed live | 14 November 2026 |
| Measurements held | 2 |
| On Telegram | t.me/shiwduit |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Nov 2026, 16:22 | 3 | no change |
| 14 Nov 2026, 15:47 | 3 | first reading |
Engagement
20 posts held, back to 8 October 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.
- ERR · 30 days
- 948.9%
- avg views ÷ 3 subscribers
- Avg views / post
- 28.5
- 15 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- 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 14 November 2026 |
|---|---|
| Posts held | 20 (8 October 2026 – 14 November 2026) |
| Views total | 427 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 16:22 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
- 3
- Links
- 12
Lifetime counters from Telegram’s own channel header, read 14 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 15 posts held from the last 30 days (20.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Next update - Lebih ringan - Update proto Status message - Wrapper statusmesage
@fadelsmsync/baileys Version: 0.0.2 npm: @fadelsmsync/baileys Jimp: 1.6.1 Support all type button > @fadelsmsync/baileys adalah modifikasi Baileys berbasis WhiskeySockets/Baileys 7.0.0-rc14. Mempertahankan API utama Baileys, mendukung CommonJS dan ESM, serta menyediakan WAProto yang kompatibel dengan kedua sistem module. Keunggulan - CommonJS & ESM Support - Button Support - Interactive Message Support - Custom…
gabut ni, enak ny ngapain ya
Mau bikin bot WA & Telegram tapi GAK BISA CODING? Tenang, sekarang ada FadelSM! Cukup isi nama, pilih fitur (menu, downloader, stiker, dll), lalu download file ZIP-nya. Bot kamu langsung jadi! ⚡ Gratis, Cepat, dan Tanpa Ribet. Coba sekarang: https://cs.fadelsm.ai.id
@FadelSMGantengBett
Photo, posted without a caption
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info yg mau buy project project gua yg ad di fadelsm.ai.id
stayy save ya buat yg di jakarta
Bikin KomiBaca, web reader manga, manhwa, manhua, sama light novel. Katalognya diambil dari beberapa sumber, ada tema mint, gelap, dan sepia, plus bookmark dan riwayat baca. Fitur sinkron antar perangkat juga ada, cuma datanya masih numpang di /tmp Vercel, jadi anggap saja fitur eksperimental. Nggak niat-niat amat sih, tapi siapa tahu berguna. Kalau nemu bug, anggap saja itu fitur yang belum didokumentasikan. Previ…
https://amprem.fadelsm.ai.id/ mau am lu Prem tapi gratis? ke sini aj🙌🏻
Showing the 12 most recent of 20 posts we hold for @shiwduit. 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.
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
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 November 2026 — this entry's latest reading, not the date you are reading this.
“fadelsm” (@shiwduit), 3 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/shiwduit.
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.