Channel
@echodolls
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
117subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001538354021 |
|---|---|
| Type | Channel |
| Username | @echodolls |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/echodolls |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 07:41 | 117 | +1 |
| 16 Aug 2026, 03:09 | 116 | +2 |
| 9 Aug 2026, 06:02 | 114 | no change |
| 7 Aug 2026, 20:59 | 114 | first reading |
15 posts held, back to 5 February 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 26 June 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 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.
82 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 31.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 26 | 31.7% | |
| 🍓 | 16 | 19.5% | |
| ❤ | 13 | 15.9% | |
| 🥰 | 10 | 12.2% | |
| 😁 | 7 | 8.54% | |
| 😭 | 5 | 6.10% | |
| 🤯 | 3 | 3.66% | |
| 🎉 | 1 | 1.22% | |
| 👀 | 1 | 1.22% |
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 14 of the 15 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 February 2026 to 26 June 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.
ohmygod It's actually working Check it out! This is fully-recreated motion from sparse VR tracker positions by a model I trained on my own PC. It's still a little rough, but with a bit more train and a pinch of craftsmanship and good choreography it'll be gold. I'm gonna use it to help with animation in the show so I don't have an excuse to drag my feet animating anymore! And it means I can physically act in it to…
🔥6🎉1
So canonicalization helped a ton! The motion is finally coherent. It still is far from perfect. Hopefully this should clear up with more train, because going from random bone orientations to a canonical rig was a bit of a shock to the system it needs to settle out of.
🔥4❤1
progress on the mocap software I'm making
🍓3🥰2😁2🔥1
>you're a kid on Itascus >you visit a local museum >one exhibit is showing Qi Entities, magic, and spells >one table has a tub of water and a machine that creates basic Qi structures that can hold water you inject into it with a pipette >you're amazed by these objects able to hold liquid water in spheres the size of your head >your mom says its time to leave >signs warn not to take the entities out of the exhibit >yo…
😭5😁2
"If you leave this thing alone for a long time with no prompt, it starts just like looking at its hand. Waving its left hand in front of its face. Yeah buddy."
😁3🍓2
Working on a tool to help make my mocap better All trained on my own GPU with open-source mocap recordings Now I can finally get back to work on my cartoons :D
🔥2🍓1👀1🥰1
Here's an example of what Skipjacking can add on an instrument. I really like the texture. Without vs. With.
🔥6🍓2
Here's how Skipjacker 3 is looking in FLStudio as a DAW. It inserts right as a mixer track! You can see the skipping patterns in the internal timeline.
🍓1🔥1
I wanna show you the insane shit I used to write back with Skipjacker 1 in order to achieve the same effect I was basically using Notepad as a fukcing Tracker in order to achieve my glitch effects. Thank god skipjacking is now a million times easier
🤯3🍓1
Working on porting my Skipjacker software to an actual VST3 plugin. That way you can actually integrate skipjacking directly into your DAW, instead of keeping Skipjacker as its own weird little glitch-DAW. Skipjacker — specifically Skipjacker 2 — is a custom software I made for producing glitch affects in music, inspired by Skipmunks. Once I get it working and polished, I'll release it so everyone can use it. Hop…
❤4🍓1
What
🍓3
Just got a new patron for the first time in a hot minute, even though I haven't posted anything in forever. Thanks, whoever you may be. I am still working on stuff! So it's going to a good use c:
❤7🥰3🍓2
Showing the 12 most recent of 15 posts we hold for @echodolls. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Echodolls” (@echodolls), 117 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/echodolls.
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.