Channel
@gagarin_launchpad
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
16,442subscribers
-152 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001757981679 |
|---|---|
| Type | Channel |
| Username | @gagarin_launchpad |
| Description | GAGARIN ➤ Web3 growth ecosystem: Media Hub, KOL engine & traction marketing for ambitious teams | 🚀 12k+ investors & builders read our updates weekly 🌐 https://gagarin.world/ 24/7 Support @GAGARIN_World_Support_Bot |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/gagarin_launchpad |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 10:09 | 16,442 | -12 |
| 13 Aug 2026, 04:27 | 16,454 | -13 |
| 12 Aug 2026, 05:22 | 16,467 | -25 |
| 11 Aug 2026, 03:43 | 16,492 | -21 |
| 10 Aug 2026, 03:50 | 16,513 | -28 |
| 9 Aug 2026, 04:11 | 16,541 | -23 |
| 8 Aug 2026, 05:12 | 16,564 | -12 |
| 7 Aug 2026, 05:35 | 16,576 | -16 |
| 6 Aug 2026, 08:50 | 16,592 | -2 |
| 6 Aug 2026, 02:18 | 16,594 | no change |
| 5 Aug 2026, 22:02 | 16,594 | first reading |
20 posts held, back to 1 April 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 20 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 15 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
19 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 47.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 47.4% | |
| 🔥 | 5 | 26.3% | |
| 👍 | 2 | 10.5% | |
| 👏 | 1 | 5.26% | |
| 🙏 | 1 | 5.26% | |
| 🥰 | 1 | 5.26% |
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 6 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 19reactions 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 April 2026 to 15 May 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.
🚨 99% of Crypto Influencers Are Selling Fake Reach. Here is the Performance Loophole. Right now, most Web3 founders are burning their runway on KOLs who only deliver bot likes and empty impressions. The era of paying for pure "exposure" is officially over. If an influencer isn't driving actual deposits or wallet connections, they are a liability. ❌ The Flawed KOL Model: • Paying 100% upfront for a single, isolate…
🚨 Your Web3 Marketing Stack is Obsolete. These 3 Tools Are Dead. Founders are still burning budgets on the exact tools that destroy token economies. The era of spray-and-pray crypto marketing is officially over. ❌ What’s Dying: • One-off Human KOL Posts: Paying $5k for a single tweet that gets buried in 12 hours with zero on-chain volume. • Basic Quest Platforms: Paying sybil-hunters to click "Retweet" instead of a…
💰"Western VCs Think GameFi is Dead. Here is the SEA Conversion Loophole." Right now, most Web3 founders are struggling to get traction in Southeast Asia because they are pushing dry DeFi protocols and complex staking dashboards. The era of boring UI/UX in SEA is over. If your onboarding isn't gamified, your conversion rate is dead on arrival. ❌ The Flawed Expansion Model: • Copy-pasting Western interfaces that la…
🚨 "90% of GameFi Traffic is Dead on Arrival. Here is the Guild Loophole." The era of buying empty wallet connects is officially over. Your token economy cannot survive on bounty hunters. ❌ The broken circle: • Buy a promo from a standard crypto KOL = thousands of bots and sybil accounts flood your servers. • Launch a generic incentive campaign = users claim the reward, dump the token, and churn by Day 2. ✅ The G…
❤1
🚨 Insight: What VCs and Founders Actually Want to Hear from a Web3 Marketing Partner. Over the last year, we’ve sat at the table with dozens of Web3 founders and Tier-1 VCs. We’ve seen exactly what gets marketing budgets approved—and what gets agencies instantly rejected. ❌ The Flawed Agency Pitch: • Selling "Brand Awareness" because they can't track actual conversions. • Reporting on vanity metrics like impression…
🚨 Stop Paying $5,000 to Wait Two Weeks for a Single Tweet. In Web3, narratives shift in hours. If you are waiting on human KOLs to approve scripts and film videos, your token's momentum is already dead. Human influencers are simply too slow and expensive. ❌ The Flawed Model: • Paying massive upfront fees for one post that dies in 12 hours. • Wasting weeks on negotiations and edits. • Buying vanity "reach" instead …
🚨 KOLs are Too Slow and Expensive. We Just 6.5x-ed an RWA Token’s Volume on Base Using AI Everyone is trying to ride the Real World Asset (RWA) narrative, especially on Base. The standard strategy is to throw money at expensive human KOLs and pray for a viral moment. ❌ The Obsolete RWA Model: • Burning budget on unreliable human influencers who deliver views but zero trading intent. • Buying uncoordinated shoutout…
🚨 Insight: Why Your Global Web3 Playbook Will Burn in South Korea Here is the hard truth: throwing your standard global campaign into the Korean market is a guaranteed way to bleed your budget dry. ❌ The Flawed Model: –Translating X (Twitter) threads and Telegram announcements word-for-word into Korean. –Pushing aggressive, hype-heavy marketing (which mature Korean traders immediately flag as suspicious). –Relying …
🚨 The Airdrop Trap: Why your users vanish after claiming the bonus. In Web3, acquiring a user is only 20% of the battle. Retention is where projects actually live or die. If they are only here for the free tokens, they will leave the second the distribution is over. ❌ The Flawed Model: – Relying entirely on extrinsic rewards (initial bonuses) to drive engagement. – Zero communication or onboarding flow after the fi…
🚨 Case Study: Engineering High-Intent User Acquisition An NDA Crypto Trading Platform came to us with a clear goal. They didn't just want vanity metrics or empty clicks for their test campaign; they needed active traders, actual wallet connections, and initial deposits—all within a highly efficient target CPA. ❌ The Flawed Model: - Burning budget on overpriced human KOLs who deliver views but zero trading intent.…
❤3🔥1
🚨 Waiting for TGE to let the market decide your token's price is a million-dollar mistake. Smart projects don't play roulette with price discovery. They engineer it 30 days before launch. ❌The Flawed Model: — Keeping the price a secret until the last second. — Hoping retail will magically buy at a "fair" valuation. — Letting airdrop hunters dump because they lack a psychological price target. Result: TGE chaos and …
❤1👍1🥰1
🚨 You wrote the perfect DAO proposal, and it got rejected in 10 minutes. Sound familiar? The problem is you tried to sell your idea to retail holders, while 90% of the voting power belongs to 5-7 whale wallets and major delegates. Web3 democracy is a myth. DAOs are oligarchies. And marketing here operates by the ruthless rules of political lobbying. ❌ The Flawed Model: — Publishing a draft on the Arbitrum/Optimism…
Showing the 12 most recent of 20 posts we hold for @gagarin_launchpad. 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 — 149,220 of 1,478,351entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 11 registered channels — 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.
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.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“GAGARIN Announcement Channel 🚀” (@gagarin_launchpad), 16,442 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gagarin_launchpad.
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.