Channel

Ta-da Announcements

@Ta_da_announcements

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

17,206subscribers

-262 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	-1001834202565
Type	Channel
Username	@Ta_da_announcements
Created	Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	6 August 2026
Last confirmed live	17 August 2026
Measurements held	13
Confirmed unchanged	1 time, most recently 17 August 2026
On Telegram	t.me/Ta_da_announcements

Growth

13 measurements spanning 11 days, net -262. 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 17,167–17,507 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
17 Aug 2026, 11:22	17,206	-43
15 Aug 2026, 19:58	17,249	-30
14 Aug 2026, 08:36	17,279	-24
13 Aug 2026, 03:26	17,303	-14
12 Aug 2026, 05:42	17,317	-32
11 Aug 2026, 02:51	17,349	-35
10 Aug 2026, 04:31	17,384	-20
9 Aug 2026, 02:01	17,404	-21
8 Aug 2026, 05:23	17,425	-20
7 Aug 2026, 01:57	17,445	-18
6 Aug 2026, 04:10	17,463	-5
6 Aug 2026, 02:18	17,468	no change
6 Aug 2026, 01:39	17,468	first reading

Engagement

20 posts held, back to 4 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof 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 20 posts for this entry, the most recent from 18 September 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

270 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 45.9% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
🔥	124	45.9%
👍	58	21.5%
👌	38	14.1%
❤	30	11.1%
💯	12	4.44%
❤‍🔥	5	1.85%
🙈	3	1.11%

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 20 of the 20 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 270reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 August 2025 to 18 September 2025, 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 Sept 2025, 12:29 UTC≈2,090 views16 reactionsread 16 August 2026

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Want to make easy extra cash every week? 🤫 AI projects don’t just need data, they need better human data. That’s why @Ta_da_io pays people like you to do simple tasks that help AI get smarter. Now it’s not just your effort that counts. With Ta-da’s referral system, you can also earn whenever your friends complete tasks. 👉 Join here: app.ta-da.io How it works: ☑️ Share your referral link ☑️ Friends sign up & compl…

👍10👌2🔥2🙈2

Signed 𝖭𝖺𝖻𝗂𝗅

17 Sept 2025, 10:10 UTC≈1,640 views7 reactionsread 16 August 2026

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Data privacy ≠ Limiting human input Some AI projects avoid human data because of privacy risks. But turning to scraped, synthetic, or unverified sources? That’s where real risks begin from biased outputs to poor generalization. It’s not the algorithm. It’s the data. @Ta_da_io takes a different approach with human-labeled, verified, and continuously audited human datasets that help your model avoid blind spots from…

🔥5👌2

Signed 𝖭𝖺𝖻𝗂𝗅

16 Sept 2025, 10:38 UTC≈1,060 views10 reactionsread 16 August 2026

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Who’s getting paid for AI? AI platforms make billions. Meanwhile, the people powering it? Mostly unpaid. @Ta_da_io changes that. • Want AI that works? → Use real, verified human data. • Want to earn? → Complete microtasks & refer others. It’s a win-win: Clean datasets for AI builders. Simple earnings for users around the world. Not just more data. More meaningful data. 🫡 Build smarter: app.ta-da.io 𝕏 https://x.…

🔥7👍2👌1

Signed 𝖭𝖺𝖻𝗂𝗅

15 Sept 2025, 10:38 UTC918 views13 reactionsread 16 August 2026

Photo

From models to movement: Exploring the future of sports AI with human Data. High-performance AI starts with high-quality, diverse, and verified human data. At Ta-da, we’ve already helped numerous projects unlock accuracy, scale, and reliability by providing diverse, real-world datasets. As we look ahead, we’re exploring a potential collaboration with @dotmoovs to power their AI-driven sports analysis platform with…

💯6❤3👌2👍1🔥1

Signed 𝖭𝖺𝖻𝗂𝗅

13 Sept 2025, 11:07 UTC771 views15 reactionsread 16 August 2026

Photo

Data bias damages performance. Human input fixes it. AI teams often face poor generalization across use cases because models are trained on biased or synthetic datasets. But real-world input solves that. At @Ta_da_io, we help projects collect diverse, verified human data that reflects actual behavior across regions, demographics, and contexts. If you’re scaling your AI, don’t skip on human signal. Collect high-q…

🔥8👍4❤2👌1

Signed 𝖭𝖺𝖻𝗂𝗅

10 Sept 2025, 10:19 UTC790 views13 reactionsread 16 August 2026

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AI models fail when they’re trained on synthetic or biased data. That’s where most companies get stuck. At @Ta_da_io, we help projects train smarter using diverse, verified, human-generated data from real-world contributors. And now, with our referral system live, your earnings don’t stop at your own tasks. → Invite your network → They earn from tasks → You earn 10% of what they make (passively) You're not just he…

👌6🔥4👍3

Signed 𝖭𝖺𝖻𝗂𝗅

8 Sept 2025, 12:09 UTC857 views16 reactionsread 16 August 2026

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💧 $500 UP FOR GRABS 💧 @Ta_da_io is teaming up with @lake_lak3, a Real World Asset (RWA) company disrupting the Water Industry by introducing Digital Water, the next Global Asset Class! 10 winners will each bag $50 USDT 💸 How to enter: 👉Go to app.ta-da.io where you will: ✔️ Follow @lake_lak3 ✔️ RT this tweet ✔️ Join Lak3 Telegram ✔️ Join Lak3 Discord That’s it. Can't get any easier. Why join? 🌊 Dive into Lak3: …

🔥9👍4👌3

Signed 𝖭𝖺𝖻𝗂𝗅

4 Sept 2025, 10:19 UTC936 views16 reactionsread 16 August 2026

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The data economy is changing. Are you in it? You have contributed your data to help train every AI model you use, and you did it for free. That era is over. @Ta_da_io lets you own your data work. Read a sentence. Label a clip. Say a phrase. Get paid. While others complain AI is taking jobs, but you're helping build it and getting rewarded. This isn’t the future. It’s already happening. Don’t watch it pass you by…

👍8❤4🔥3👌1

Signed 𝖭𝖺𝖻𝗂𝗅

3 Sept 2025, 10:38 UTC787 views9 reactionsread 16 August 2026

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Fueling AI liquidity with human Data: AMA with @Ta_da_io × @d3x_exchange What happens when smarter data meets smarter trading? Find out in our AMA with D3X happening today! We’ll be diving into: → How AI is transforming liquidity tools. → Why human data > random data for training. → How contributors on Ta-da get rewarded while shaping the future of AI. 🕓 TODAY, 4 PM UTC 📍@X Space See y'all there… 🫡 𝕏 https://x.c…

👍3❤2👌2🔥2

Signed 𝖭𝖺𝖻𝗂𝗅

2 Sept 2025, 10:00 UTC700 views9 reactionsread 16 August 2026

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Help AI Grow. Get Paid. @Ta_da_io makes it simple: perform small tasks that help train AI, such as reading lines, checking data, tagging images, and much more… and get rewarded instantly. Now, with our referral system, you also earn when your referrals earn. That’s 10% of their earnings, straight to you. Helping AI get better? Great. Helping others get paid while you earn more? Even better. Refer now. The longer …

🔥5👌2👍2

Signed 𝖭𝖺𝖻𝗂𝗅

27 Aug 2025, 10:19 UTC942 views20 reactionsread 16 August 2026

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Powering smarter AI trading with human Data! D3X is pioneering the future of decentralized exchanges with its smart AI-trade assistant. But what makes AI truly effective in such a fast-changing market? Data that’s not just big, but better. That’s why @d3x_exchange partnered with @Ta_da_io. For D3X, this partnership means their AI models can learn from data that’s: • Verified for accuracy and quality. • Diverse en…

🔥10👍6❤2👌2

Signed 𝖭𝖺𝖻𝗂𝗅

26 Aug 2025, 11:34 UTC794 views9 reactionsread 16 August 2026

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Get Rewarded to Grow AI🔥 AI models don’t train themselves. They need human data: real voices, real inputs, real labeling. @Ta_da_io helps AI companies obtain the verified, human-sourced datasets they need. We also reward contributors with real money for every task they complete. Now with our referral system, you earn 10% of everything your fren earns too. Yes, really. 📌 Voice tasks 📌 Image labeling 📌 Simple data …

🔥6👍2👌1

Signed 𝖭𝖺𝖻𝗂𝗅

Showing the 12 most recent of 20 posts we hold for @Ta_da_announcements. 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 — 1,064,752 of 1,481,502entries 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

Ice Open Network
@iceblockchain · 1,320,0181 post

Names

Channels on the register whose handles appear in this channel's posts.

ChimpX Announcement ✨
@ChimpxAI · 8,3862 posts $AIDA Community
@aidappcom · 33,8061 post

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.

Handles this channel named that no longer answer

Dead references: 1; handles named in this channel’s posts, vacant today
Evidenced gone: 0; we ourselves saw one of these resolve, at some point
Never seen alive: 1; vacant every time we have ever looked

@Ta_da_announcements named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.

Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.

Never seen alive

References a handle that is not a live channel — we have no record it ever was one.

@lake_lak3
named in 5 posts, 8 August 2026 – 15 August 2026

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.

MultiversX - Announcements
@MultiversXAnn · 313,656
Telegram ranks this channel #7 of 87 here — alongside 86 others — read 15 August 2026

Crypto Expert
@cryptoexpert · 103,750
Telegram ranks this channel #37 of 81 here — alongside 80 others — read 15 August 2026

This channel appears in 2 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 August 2026 — this entry's latest reading, not the date you are reading this.

“Ta-da Announcements” (@Ta_da_announcements), 17,206 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/Ta_da_announcements.

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.