Telegram RegisterThe public register of Telegram
Telegram profile photo for Wheddy AI

Channel

Wheddy AI

@WheddyAi

Not marked by Telegram, checked 31 August 2026

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

1,835subscribers

-44 since we began measuring on 30 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002211092029
TypeChannel
Username@WheddyAi
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded30 August 2026
Last confirmed live17 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/WheddyAi

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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.

Growth

1,8351,8791,85730 August 2026 — 1,879 subscribers30 August 2026 — 1,879 subscribers31 August 2026 — 1,878 subscribers4 September 2026 — 1,876 subscribers9 September 2026 — 1,863 subscribers13 September 2026 — 1,850 subscribers17 September 2026 — 1,835 subscribers30 August 202617 September 2026
7 measurements spanning 18 days, net -44. 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 1,828–1,886 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 22:371,835-15
13 Sept 2026, 15:411,850-13
9 Sept 2026, 10:371,863-13
4 Sept 2026, 09:371,876-2
31 Aug 2026, 20:571,878-1
30 Aug 2026, 22:001,879no change
30 Aug 2026, 21:451,879first reading

Engagement

18 posts held, back to 2 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.43%
avg views ÷ 1,835 subscribers
Avg views / post
44.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 18 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 26 August 2026
Posts held18 (2 July 202626 August 2026)
Views total89
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 22:00 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.

What this channel posts

Video runtime
1m 00s
Average length
20s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

5 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
480.0%
👍120.0%

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 3 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 5 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 2 July 2026 to 26 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

18 Aug 2026, 17:57 UTC132 views2 reactionsread 30 August 2026

🎬 CLIPPING FAQ 1. What is clipping? Clipping is taking interesting moments from long-form content like podcasts, interviews, streams or videos and turning them into short-form content for TikTok, Reels, YouTube Shorts, X, etc. 2. How do clippers make money? Through clipping campaigns. A creator, brand or project provides content and rewards clippers based on things like views, engagement, rankings or specific campa

2

14 Aug 2026, 15:07 UTC144 viewsread 30 August 2026

7. Choosing The Right Source Material Tutorial: Your source material matters more than you think. Imagine you have two podcasts. Podcast A is a two-hour conversation where the speakers mostly discuss boring technical details. Podcast B is a one-hour conversation filled with controversial opinions, stories, jokes, arguments and strong insights. Which one would you rather clip? Obviously, Podcast B. Before cho

14 Aug 2026, 15:06 UTC103 viewsread 30 August 2026

6. What Makes A Good Clip? Tutorial: A good clip isn’t necessarily the clip with the best editing. The most important thing is the moment. You want moments that create one or more of these reactions: “Wait, what?” “I didn’t know that.” “That’s crazy.” “I disagree.” “I need to hear the rest.” Look for strong opinions, surprising information, emotional stories, useful advice, arguments, funny moments and cont

14 Aug 2026, 15:06 UTC97 viewsread 30 August 2026

5. Understanding Campaign Rules Tutorial: This is one of the most important beginner lessons. Read the rules before you clip. A campaign might say: “Only clips from these videos.” “Minimum 30 seconds.” “Post on TikTok.” “Use this hashtag.” “Tag this account.” “No AI-generated content.” “Only original edits.” If you ignore one of those requirements, you could make a viral clip and still earn nothing. So b

14 Aug 2026, 15:06 UTC95 viewsread 30 August 2026

4. Where To Find Clipping Campaigns Tutorial: There are several places you can find clipping campaigns. You can find them through creator communities, Web3 communities, campaign platforms, Telegram, Discord, X, and sometimes directly from creators or projects. But here’s the important part: Don’t chase every campaign you see. A campaign existing doesn’t automatically make it worth your time. You need to look a

14 Aug 2026, 15:05 UTC91 viewsread 30 August 2026

3. How Clipping Campaigns Work Tutorial: Every clipping campaign is different, so never start clipping before you understand the rules. When you enter a campaign, look for a few things. One: What’s the reward pool? Two: How are clippers rewarded? Is it based on views, engagement, rankings, fixed payments or something else? Three: What content are you allowed to use? Four: Which platforms are allowed? Five: A

14 Aug 2026, 15:05 UTC103 viewsread 30 August 2026

2. How The Clipping Economy Works Tutorial: Now that you know what clipping is, let’s talk about how money enters the picture. Creators, podcasts, brands and Web3 projects have a problem. They have hours of content, but they need short-form content distributed across social media. Instead of doing everything themselves, they create clipping campaigns. They provide the source content and set a reward structure.

14 Aug 2026, 14:05 UTC120 viewsread 30 August 2026
Photo

1. What Is Clipping? Tutorial: Clipping is basically taking long-form content, finding the most interesting moments, turning those moments into short-form videos, and distributing them on platforms like TikTok, Instagram Reels, YouTube Shorts and X. For example, a podcast might be 2 hours long. You don’t need to post the entire podcast. You find the 30-60 seconds where the speaker says something interesting, contr

Showing the 12 most recent of 18 posts we hold for @WheddyAi. 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.

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.

English Phobia।Exam Mate
@confusingQuestions3 · 40,200
Telegram ranks this channel #50 of 50 here — alongside 49 others — read 30 August 2026
Chemistry Phobia।Exam Mate
@ConfusingQuestions4 · 24,334
Telegram ranks this channel #63 of 66 here — alongside 65 others — read 16 September 2026
Notes Zone।Exam Mate
@confusingquestion · 21,922
Telegram ranks this channel #64 of 67 here — alongside 66 others — read 22 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Wheddy AI” (@WheddyAi), 1,835 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/WheddyAi.

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.