Channel
@DCAI_Official
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Cite this entry
1,266subscribers
-14 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002510326606 |
|---|---|
| Type | Channel |
| Username | @DCAI_Official |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 2 times, most recently 30 August 2026 |
| On Telegram | t.me/DCAI_Official |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 16:57 | 1,266 | -1 |
| 25 Aug 2026, 00:22 | 1,267 | -3 |
| 18 Aug 2026, 18:53 | 1,270 | -4 |
| 15 Aug 2026, 15:25 | 1,274 | -1 |
| 11 Aug 2026, 17:06 | 1,275 | -5 |
| 7 Aug 2026, 22:46 | 1,280 | no change |
| 7 Aug 2026, 20:51 | 1,280 | first reading |
20 posts held, back to 1 May 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 pageof 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 24 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
66 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 87.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 58 | 87.9% | |
| 🔥 | 4 | 6.06% | |
| 👍 | 3 | 4.55% | |
| 😭 | 1 | 1.52% |
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 66reactions 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 1 May 2026 to 24 July 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.
Here’s something most people realize too late: Position is rarely announced. It forms quietly. By: · Understanding the system early · Participating in conversations · Giving feedback · Building or supporting experiments No countdown. No announcement. No hype banner. Just accumulation. That’s how early contributors end up naturally inside ecosystems not chasing them later. #DCAI #EarlyPosition #LongTerm
❤3
At this stage, most L3 ecosystems don’t look impressive yet. There aren’t hundreds of apps. There isn’t polished UX everywhere. Instead, you see: 1. Experiments 2. Half-finished ideas 3. Discussions 4. Trial and error This phase is uncomfortable — but it’s also where direction is shaped. Those who join here don’t join for certainty. They join to help define what comes next. #DCAI #EarlyStage #L3Journey
❤2
Here’s another common scenario. A team builds an AI workflow on a general-purpose chain. At first, it works. Then reality hits: - Execution feels forced - Integrations become messy - Scaling creates friction So the question changes from: “Can we make this work here?” to: “Is there a place designed for this?” That’s when specialized layers — like L3 — start making sense. Not because they’re trendy, but becau…
❤1
Let’s say you’re not a builder. You’re someone who understands a real-world problem — healthcare, education, logistics, research, content. On an L3 ecosystem, your role could be: - Shaping use cases - Testing early AI tools - Giving feedback on usability -Spotting what doesn’t make sense Many early AI products don’t fail because of bad code, but because they solve the wrong problem. People who understand real n…
🔥3❤1
📷 DCAI 中文专场 #004｜线上讲解会 继之前我们办了几场英文讲解 ，中文专场回来啦！！！ 我们继续通过这一场分享，系统性讲清楚 DCAI 在做什么，以及为什么重要。 本次依然由 Samuel 主讲， 从基础架构与整体叙事出发，带大家重新梳理 DCAI 在 AI × Web3 生态中的位置与价值。 本场将重点涵盖： 📷 DCAI 是什么，以及它所处的基础设施层级 📷 为什么 AI 需要去中心化基础设施 📷 DCAI 的整体架构逻辑与发展方向 本次内容依然聚焦在 认知与理解本身， 不涉及市场行情、营销机制或价格相关话题。 适合： 想更系统理解 DCAI 的社区成员 刚接触 DCAI，希望听一场完整介绍的新朋友 🎙 分享嘉宾：Samuel（@SamuelKok97） 📅 日期：2026 年 6 月 30 日（星期二） ⏰ 时间：晚上 8:30（UTC+8） 📍 形式：Zoom 线上会议 🔗 会议链接 http…
❤5
Here’s a simple example. Imagine a small team building an AI tool that helps analyze medical research papers. They don’t want: - Generic DeFi logic - Constant gas optimization - Unrelated transaction noise They want: -Predictable execution -Structured data references -Clean interaction between AI tasks and results An AI-focused L3 gives them that environment. Not louder. Not faster. Just built for the right job…
❤3
At DCAI, we believe the future is built through strong foundations, shared knowledge, and the courage to explore what comes next. Today, we celebrate the fathers and father figures who guide with patience, lead by example, and help the next generation grow with confidence. Just as DCAI brings together AI, decentralized infrastructure, builders, and communities to create new possibilities, great fathers help turn po…
❤5
We are thrilled to announce a strategic partnership between DCAI and @KumamiWorld 🤝 Kumami World is simplifying Web3 through AI-driven intelligence, gaming, and education. To scale that vision seamlessly, they need an infrastructure built for massive throughput. ⚙️The Tech: Kumami World’s AI Labs and real-time news analytics demand a network that can handle immense data loads without breaking a sweat. 💡The Solutio…
❤3
Early stages feel messy. Things aren’t polished. Roles aren’t clearly defined. But that’s also when: · Feedback still shapes direction · Conversations still matter · Participation still has weight Once systems are fully formed, it becomes much harder to influence them. DCAI’s L3 is still taking shape. And that’s exactly why this phase matters. #DCAIL3 #EarlyPhase #BuildTogether
❤3
Here’s the truth: No one joins early ecosystems with full understanding. Not builders. Not contributors. Not even founders. They join because something clicks. Maybe it’s the direction. Maybe it’s the architecture. Maybe it’s the timing. Understanding grows after participation. That’s how early layers take shape. #DCAI #EarlyStage #StayCurious
❤2
In a noisy world, peace has become one of the rarest forms of strength. Wesak Day reminds us that true progress doesn’t begin with technology alone it begins with wisdom, compassion, and mindful action. A brighter future is not built only through innovation. It’s built through the values that connect people together: ✨ Kindness ✨ Understanding ✨ Unity ✨ Purpose At DCAI, we believe communities grow stronger when pe…
❤3
Before L3, many conversations sound like: “This could be built.” “This might work someday.” With L3, the conversation becomes: “Let’s try this.” “Let’s test it properly.” “Let’s see how it behaves in reality.” For example: A small AI team can deploy a prototype, run real workloads, and observe how data, compute, and execution interact. That’s why L3 is less about theory and more about hands-on experimenta…
❤3
Showing the 12 most recent of 20 posts we hold for @DCAI_Official. 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.
@DCAI_Official 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.
References a handle that is not a live channel — we have no record it ever was one.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“DCAI_Official Announcement” (@DCAI_Official), 1,266 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/DCAI_Official.
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.