Channel
@laikaai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
572subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001775297673 |
|---|---|
| Type | Channel |
| Username | @laikaai |
| Description | Official announcements channel for the Laika AI Group Chat: https://t.me/Laikaaiofficial Laika AI: https://linktr.ee/laika_ai |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/laikaai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 10:18 | 572 | no change |
| 7 Aug 2026, 08:59 | 572 | first reading |
20 posts held, back to 22 July 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 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 6 January 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 7 August 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.
115 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 50.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 58 | 50.4% | |
| ❤ | 43 | 37.4% | |
| 👎 | 6 | 5.22% | |
| ❤🔥 | 3 | 2.61% | |
| 👍 | 3 | 2.61% | |
| 🤮 | 1 | 0.87% | |
| 🥰 | 1 | 0.87% |
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 18 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 115reactions 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 22 July 2025 to 6 January 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.
Capital flows don't lie, social media does. Track every CEX deposit and withdrawal across major exchanges in real-time at https://laikalabs.ai/app Spot institutional movements before the market reacts. Monitor whale activity across Binance, Coinbase, OKX & more. Set custom alerts for significant transfers. On-chain data > speculation. The edge traders need. The infrastructure markets deserve. https://x.com/Laika_…
❤1
Deep Research is LIVE on Laika AI. And it's just the beginning. While others chase narratives, we're building the infrastructure that reveals them first. New in app: Deep Research: Multi-layer on-chain analysis powered by AI Enhanced multi-chain tracking across 21+ EVMs Real-time pattern recognition that spots movements before markets react The best alpha isn't on Twitter. It's on-chain. The data layer for AI is evo…
📊 Track what top traders are DOING, not what Twitter is SAYING. With Laika AI, monitor elite wallet movements in real-time: Spot accumulation patterns before the pump Detect early distribution signals Copy smart money, not noise Capital flows don't lie. Social media does. Stay ahead: https://laikalabs.ai/app https://x.com/Laika_ai/status/1993590395935346784?s=20
Excited to announce our partnership with @HumanoidNetwork Humanoid Network Developing the Virtual Infrastructure that Makes Robotics Useful, Connected, and Human-compatible. Laika Ai & Humanoid is collaborating on Data partnership on Building AI model! https://x.com/Laika_ai/status/1983886941906202889
❤6🔥3
Excited to announce: Laika AI has enabled x402 protocol to revolutionize how you access blockchain analytics! Say goodbye to traditional subscriptions. Say hello to micro-payments. Pay-as-you-go for: -Token contract analysis -Wallet tracking & AI chat -DeFi research tools -NFT authenticity verification -On-chain analytics The future of Web3 analytics is here. #x402 $LKI https://x.com/Laika_ai/status/19838290706989…
❤4
TOP GAINERS IN X402 ECOSYSTEM! $JTVO leads the charge with a massive +80.2% gain! Other standout performers: 🟢 $ZARA +36.9% 🟢 $QUAIN +36.8% 🟢 $VPAY +22.8% 🟢 $LKI +13.9% Want deeper insights into the X402 ecosystem? Get comprehensive analysis, real-time tracking, and AI-powered insights on our Crypto Bubbles dashboard https://laikalabs.ai/app/crypto-bubbles #X402 #CryptoGainers #LaikaAI #Web3Analytics https://x.…
❤3
Introducing Categories to visualize, sort & filter ANY crypto project instantly. Check wallet clusters Sort by holder size Filter suspicious patterns Analyze token distribution Make smarter decisions with visual intelligence. Try it now: https://laikalabs.ai/app https://x.com/Laika_ai/status/1982065092645761477
❤5👎2
$COAI up 58.55%, $MNT up 20.15%, $ZEC up 29.54% - but WHY? Don't just watch the charts. UNDERSTAND them. With @Laika_ai AI chatbot on http://laikalabs.ai/app , get instant deep-dive analysis on: -What's driving the pumps -Market sentiment shifts -Risk factors to watch -Smart entry/exit points Real-time insights + AI-powered market analysis = Better trading decisions Try it now : https://laikalabs.ai/app https…
🔥8👍1
Excited to announce that Laika AI has secured a $250k grant from @Cloudflare - the global leader in web security, performance, and reliability powering millions of websites worldwide! This marks our FIFTH major grant and another huge milestone in our journey to build the most advanced on-chain data layer for AI. With Cloudflare's support, we're strengthening our infrastructure to deliver even faster, more secure b…
❤5🔥2🤮1🥰1
Want to know who's REALLY holding that token? With Laika AI, you can dive deep into: On-chain holder distribution Wallet activity patterns Token movement & flow AI-powered holder analysis Stop guessing. Start analyzing. Track decentralized activity across 21 EVM chains at http://laikalabs.ai/app https://x.com/Laika_ai/status/1972678677805822077
❤4
Missed $ASTER 151.83% pump? $HEMI 92.89% surge? Don't let it happen again! Our Laika dashboard now shows trending coins with AI-powered "See Why" insights -Real-time market analysis -Early trend detection -Smart contract analysis -Multi-chain tracking Try it now: http://laikalabs.ai/app https://x.com/Laika_ai/status/1970532187725320633
🔥8
Identify high-potential crypto opportunities with institutional-grade analytics from Laika AI. Our advanced on-chain analytics across 20+ EVM chains help you: -Analyze token contracts in real-time -Track smart money wallets -Get AI-powered market insights -Detect risks before they hit 130k+ users trust us to navigate Web3 Start your discovery at http://laikalabs.ai https://x.com/Laika_ai/status/196870211387099971…
🔥6👍1
Showing the 12 most recent of 20 posts we hold for @laikaai. 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.
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.
@laikaai 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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Laika AI Announcements” (@laikaai), 572 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/laikaai.
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.