Partnerships are often a vanity metric. Use this formula instead:
Value = (Qualified Users Γ LTV) β (Your Time)
The Reality Check:
The Lesson: Deal A was "noise." Deal B was "alignment."
Quality > Quantity.
If the math doesn't work, say no.
#GrowthMath #Partnerships #ROI
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π₯3
Project: NDA
Problem: Weak TGE. Failed KOL strategy. Community abandoning ship.
The situation was brutal:
We had ONE shot to reverse this.
What happened:
The mechanics? The strategy? That's the interesting part...
β€ Full case study + exact playbook inside our Telegram Case Channel
#Marketing #TGE #Gagarin
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π₯3π1π1
We analyzed 20+ Telegram Mini Apps so you donβt have to.
Now, weβre ready to reveal which Mini Apps are worth launching in 2026 and more importantly how to execute them perfectly.
TRADING/STAKINGTarget: 8-15% conversion, $20-100 + LTV
- Load < 1.5 sec
- Zero registration (auto-login TG ID)
- One-click transactions (TON API)
- Slow loading (>2sec = 50% leave)
- Poor UX (crash = 100 users gone)
- Full launch day 1 (no buffer)
GAMIFICATIONTarget: 15-25% conversion, 30-40% DAU
- Simple mechanics (tap-to-earn)
- Daily rewards (7+ day return)
- Leaderboards (social proof)
- Complex rules (churn)
- No daily rewards (no returns)
- Ignoring bugs (reputation damage)
REFERRAL SYSTEMSTarget: 1.5-2.5x viral, 2x growth/week
- Easy tasks (5-min completion)
- Instant payment (trust)
- Limited time bonus (FOMO)
- Fraud detection (kill bots)
- Low rewards
- Complex tasks (70% abandon)
- Slow payments (scam signal)
#Gagarin #TGMiniApps #G61 #EcosystemRadar
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π―3π₯1π1
"X Spaces Analytics: Tracking Who Listens, Engages, and Converts"
π Everyone does X Spaces. Nobody measures what actually happens.
β Old Way:
"We had 5K listeners"
Result: Zero data, zero insights
β
New Way:
"5K listeners β 2.8K engaged β 340 converted"
Result: Repeatable playbook
What to Measure:
1οΈβ£ LAYER 1: Obvious Metrics
- Listeners (baseline)
- Real-time engagement (replies, quotes)
- Actions taken (clicks, follows, signups)
Example: Project X had 8K listeners but only 23 clicked signup link (0.3% conversion). Useless.
2οΈβ£ LAYER 2: Hidden Metrics
- Who listened (founders? newbies? holders?)
- Their engagement history (engaged or lurkers?)
Example: Project Y had 3K listeners, but 45% were founders. 180 conversions (6% rate). Way better.
3οΈβ£ LAYER 3: Real ROI
- Space attendees β followers β website visitors β token holders (90 days later)
Example: Project Z: 4K listeners β 12 token holders = 0.3% conversion
Not all Spaces work. Now you can prove which ones do.
π‘ Share your XSpace experience in the comments!
#Gagarin #EcosystemRadar #XSpaces #G61
"We had 5K listeners"
Result: Zero data, zero insights
"5K listeners β 2.8K engaged β 340 converted"
Result: Repeatable playbook
What to Measure:
- Listeners (baseline)
- Real-time engagement (replies, quotes)
- Actions taken (clicks, follows, signups)
Example: Project X had 8K listeners but only 23 clicked signup link (0.3% conversion). Useless.
- Who listened (founders? newbies? holders?)
- Their engagement history (engaged or lurkers?)
Example: Project Y had 3K listeners, but 45% were founders. 180 conversions (6% rate). Way better.
- Space attendees β followers β website visitors β token holders (90 days later)
Example: Project Z: 4K listeners β 12 token holders = 0.3% conversion
Not all Spaces work. Now you can prove which ones do.
#Gagarin #EcosystemRadar #XSpaces #G61
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α Launchpads without exchanges = stuck
α Builders without investors = slow
α Projects without visibility = invisible
Web3 winners aren't built alone.
We've documented it all.
β Read our LinkedIn
Join our community of builders, founders, and strategists who think differently.
#Gagarin #G61 #Web3Strategy
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π₯1
- They launch a bounty campaign.
- Bounty hunters join.
- Bounty hunters leave after reward.
- Project dies.
Acki Nacki's Popit took a different approach.
Instead of fighting for random players, they went after organized gaming guilds.
- Full guilds. Structured teams. Actual gamers.
5 guilds across CIS & APAC.
Each guild created a team.
Each team competed in a $100K tournament.
Zero bounty incentives.
1. 3,478 high-quality players.
2. 100% organic acquisition.
3. Real retention (not FOMO).
But here's the thing β the mechanics behind this aren't obvious.
We did something different.
Want to see exactly how we structured this?
Full case study + the guild-to-player framework we built:
β Here
Not theory. Real game. Real players. Real results.
#Gagarin #G61 #GameFi #Web3Marketing
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π₯2β€1π1
Week ago we broke down why most Web3 projects fail at Spaces.
Most founders think Spaces engagement depends on topic.
It doesn't.
Here are 3 ways to improve the situation:
- Announce 48 hours before (pinned tweet)
- Tag co-hosts early (they promote to their audiences)
- Create curiosity ("Learn how this project 3x'd ER in 30 days")
Result: 2-3x more listeners before Space even starts
- Invite 2-3 hosts with complementary audiences
- Each co-host promotes to their followers
- "Space swaps" (you host theirs, they host yours)
Result: Reach expands 5x minimum
- NO long intros (people decide in first 30 sec if they stay)
- State outcome immediately ("By end of this Space you'll know: X, Y, Z")
- Jump into value (not "thanks for joining")
Result: 65% retention vs 12% with vague opens
One Space/week + this system = 2-3K new followers/month#Gagarin #XSpaces #G61 #Web3Marketing
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Most people use the same 3 tools.Real growth? In the ones 90% haven't heard ofβ¬οΈ
β Google Analytics for Web3, but actually useful. It combines onchain and offchain data into one dashboard.
β This is the tool that answers the question nobody's asking but should be: "Which channel actually drives token purchases?"
Most projects run ads on Twitter, Telegram, and Bitmedia simultaneously, then assume they're all equally valuable.
SPINDL shows you the truth.
β Traditional CRM platforms like HubSpot treat crypto users like email subscribers.
FORMO treats them like what they actually are: wallet holders with on-chain transaction history.
β Imagine targeting ads to people by their actual crypto holdings and protocol usage, not by demographics and cookies that are half-wrong anyway. That's Addressable. It targets wallets based on their on-chain behavior.
β Most projects still run bounty campaigns. "Complete task, get $50." Terrible. Users complete tasks for money, get paid, leave forever.
GALXE and LAYER3 invert this with gamified quests that feel rewarding instead of transactional.
Try one. Test for 30 days. Measure on-chain outcomes.
#Gagarin #G61 #Web3Marketing #EcosystemRadar
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π₯3β€1π1
They fail because nobody coordinated the execution.
β 5 mistakes kill most tokens:
Want to know what actually works?
β Here.
Learn the pattern that separates winners from failures.
#Gagarin #G61 #TokenLaunch
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π₯2β€1π1
Everyone chases the 1M+ follower KOLs. Nobody measures the actual wallet connections. So let us clear a situation:
β Cost: $7,000 per post
β Audience: Bounty hunters & bots
Result: 50,000 views β 120 clicks β 12 active users.
CAC = $833. Negative ROI.
β Cost: $200 β 500 per post
β Audience: Niche alpha groups & actual builders
Result: 3,000 views β 450 clicks β 85 active users.
CAC = $5.80. Pure alignment.
Why does this happen?
Mega-audiences are spectators.
Nano-audiences are participants.
In our recent Telegram Mini App launches, we stopped buying vanity metrics. We routed the budget entirely to micro-communities.
Result: Real retention, zero TGE dumpers. You check it in our TG case channel.
#Gagarin #G61 #Web3Marketing #KOLStrategy #Growth
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β€4π₯°2π1
π "The main problem of promoting DePIN today"
β When Swarm (a leading Decentralized Storage Protocol) came to us, they had a classic Web3 problem: great product, but quite fragmented marketing execution. See what we got:
β The "Ad-Hoc" Trap:
β Random influencer campaigns without a core narrative
β Reactionary marketing based on daily market mood
No alignment between target audiences and messaging
Result: Inefficient spending, high CAC, and limited developer adoption.
β
The System Framework:
β We stopped the random spending. We tore down their approach and installed the Gagarin 5-pillar execution engine.
β We mapped every single action to a daily roadmap.
β We killed the "noise" and focused only on high-impact channels.
Result: Cut wasted marketing spend by 30%. Massive organic growth. Real adoption from storage providers.
But the 30% budget save isn't the most interesting part.
If you want to see the exact 5-pillar framework we deployed to turn their metrics around and full result list.
π‘ Want to recheck and rebuilt your strategy? Connect us.
#Gagarin #G61 #DePIN #Web3Marketing #Strategy #Growth
β When Swarm (a leading Decentralized Storage Protocol) came to us, they had a classic Web3 problem: great product, but quite fragmented marketing execution. See what we got:
β Random influencer campaigns without a core narrative
β Reactionary marketing based on daily market mood
No alignment between target audiences and messaging
Result: Inefficient spending, high CAC, and limited developer adoption.
β We stopped the random spending. We tore down their approach and installed the Gagarin 5-pillar execution engine.
β We mapped every single action to a daily roadmap.
β We killed the "noise" and focused only on high-impact channels.
Result: Cut wasted marketing spend by 30%. Massive organic growth. Real adoption from storage providers.
But the 30% budget save isn't the most interesting part.
If you want to see the exact 5-pillar framework we deployed to turn their metrics around and full result list.
βΊ Read the full case study and Swarm's unedited feedback: here
#Gagarin #G61 #DePIN #Web3Marketing #Strategy #Growth
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β€2π1π₯1
β±οΈ "Market Timing in Launches: Why Your TGE Date Might Be Killing Your Growth"
Founders usually pick a TGE date based on their development roadmap.
But market liquidity doesn't care about your roadmap.
β The "Friday Dump" Trap:
β Launch: Friday afternoon.
β Context: Retail checks out for the weekend. Market makers step away.
β Result: Low volume support, high volatility, instant sell-pressure.
β
The Mid-Week Momentum:
β Launch: Tuesday or Wednesday AM (UTC).
β Context: Institutional desks are active. You get 72 hours of peak attention before the weekend.
β Result: Sustained volume, algorithm-friendly trading patterns, stable floor.
But it goes much deeper than the day of the week. It's about attention liquidity.
βΊ Launching during major crypto conferences = Invisible.
βΊ Launching during a dominant narrative shift = Ignored.
βΊ Missing the aggregator timing window = Dead on arrival.
Stop guessing. Look at the chain.
π‘ Is your TGE date driven by data or an artificial deadline? Let's discuss in the comments.
#Gagarin #G61 #TGE #TokenLaunch #Web3Data
Founders usually pick a TGE date based on their development roadmap.
But market liquidity doesn't care about your roadmap.
We pulled the on-chain data from 150+ recent Token Generation Events.
The pattern is clear: timing isn't luck. It's a mathematical advantage.
β Launch: Friday afternoon.
β Context: Retail checks out for the weekend. Market makers step away.
β Result: Low volume support, high volatility, instant sell-pressure.
β Launch: Tuesday or Wednesday AM (UTC).
β Context: Institutional desks are active. You get 72 hours of peak attention before the weekend.
β Result: Sustained volume, algorithm-friendly trading patterns, stable floor.
But it goes much deeper than the day of the week. It's about attention liquidity.
βΊ Launching during major crypto conferences = Invisible.
βΊ Launching during a dominant narrative shift = Ignored.
βΊ Missing the aggregator timing window = Dead on arrival.
Stop guessing. Look at the chain.
#Gagarin #G61 #TGE #TokenLaunch #Web3Data
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π₯1π1π€1
π "Bridge Tokens as Liquidity: The Cross-Chain Growth Hack Nobody is Talking About"
β The Traditional Cross-Chain Trap:
β Launch a massive "bridge and earn" campaign.
β Mercenary capital bridges over for the reward.
β Liquidity drains back to the main chain in 48 hours.
Result: Ghost chains and rented liquidity. High CAC, zero retention.
β
The Bridge-as-Liquidity Framework:
β Incentivize the transit, not just the destination.
β Treat bridge tokens like any wrapped asset as yield-bearing from day one.
β Partner with native ecosystem DEXs for instant, day-zero utility.
Result: Sticky liquidity, organic adoption, and users who actually stay.
β When we structure omnichain campaigns at G61, we don't just build a bridge. We build an economy on the other side before the users even arrive.
π‘ Are you struggling to keep liquidity on your secondary chains? Let's talk strategy with us.
#Gagarin #G61 #CrossChain #Web3Marketing #DeFi
Most cross-chain projects market themselves like single-chain projects.It doesn't work. We've seen the metrics:
They launch on Ethereum, open a bridge to Arbitrum, and just expect users to follow.
β Launch a massive "bridge and earn" campaign.
β Mercenary capital bridges over for the reward.
β Liquidity drains back to the main chain in 48 hours.
Result: Ghost chains and rented liquidity. High CAC, zero retention.
β Incentivize the transit, not just the destination.
β Treat bridge tokens like any wrapped asset as yield-bearing from day one.
β Partner with native ecosystem DEXs for instant, day-zero utility.
Result: Sticky liquidity, organic adoption, and users who actually stay.
β When we structure omnichain campaigns at G61, we don't just build a bridge. We build an economy on the other side before the users even arrive.
#Gagarin #G61 #CrossChain #Web3Marketing #DeFi
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π1π₯1π1
Weβre teaming up with CULTD, the ultimate attention layer built for Web3 founders who demand real ROI over vanity metrics.
CULTD is more than a growth platform, itβs an infrastructure designed to engineer measurable influencer attribution campaigns, cutting through the bots and farms.
π Why pay attention?
β No more noise: Sticky liquidity, users, and TVL over vanity metrics.
β Outcome-first: Strict cost-per-result accountability and payouts.
β Proven traction: $256K+ tracked and distributed across 17 Web3 campaigns.
Follow CULTD to leave the hopium behind and start building verifiable, long-term traction
#Gagarin #Partners #CULTD #Web3
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π2π₯1π1
π¨ "Your Token Has Been Bleeding for 12 Months. Is It Dead?"
Project: NDA
Problem: The token launched a year ago. The chart is "down only." Community is silent. Zero organic demand.
β When founders face this, they usually panic. They pay for random AMAs or beg holders to "buy the dip." It never works.
β The "Dead Token" Trap:
β Hiring uncoordinated shillers
β Tweeting hopium without underlying mechanics
β Hoping the market will just "wake up"
Result: You become exit liquidity for the last remaining holders. The project dies.
βοΈ The Resurrection Framework:
β We didn't just buy ads; we manufactured a catalyst (Tokenomics update + Burn).
β We orchestrated 30 Tier-1 KOLs and 428 PR media outlets to hit at the exact same time.
β 5.37M verified reach. 560K+ real interactions.
β So...how did we synchronize 58 tweets and a massive crowdsource campaign to build sustained buying pressure instead of a quick exit? The mechanics behind this are counter-intuitive.
π‘ Has your token lost momentum since TGE? Let's talk strategy in the comments.
#Gagarin #G61 #Tokenomics #Web3Marketing #DeFi #GrowthHack
Project: NDA
Problem: The token launched a year ago. The chart is "down only." Community is silent. Zero organic demand.
β When founders face this, they usually panic. They pay for random AMAs or beg holders to "buy the dip." It never works.
β Hiring uncoordinated shillers
β Tweeting hopium without underlying mechanics
β Hoping the market will just "wake up"
Result: You become exit liquidity for the last remaining holders. The project dies.
β We didn't just buy ads; we manufactured a catalyst (Tokenomics update + Burn).
β We orchestrated 30 Tier-1 KOLs and 428 PR media outlets to hit at the exact same time.
β 5.37M verified reach. 560K+ real interactions.
β So...how did we synchronize 58 tweets and a massive crowdsource campaign to build sustained buying pressure instead of a quick exit? The mechanics behind this are counter-intuitive.
βΊ See the exact sequence, results and the full narrative playbook here:
β Case study
#Gagarin #G61 #Tokenomics #Web3Marketing #DeFi #GrowthHack
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π₯1
Most Web3 projects approach Twitter growth like a casino. They chase virality instead of building a system.
β We tracked audience quality across multiple Web3 campaigns.
β Reply-guying under mega-influencers
β "Drop your wallet" giveaways
β Buying low-tier retweet networks
Result: Inflated numbers. Zero real product users. Deadly dump at TGE.
PHASE 1: The Authority Anchor
β No memes. Just deep-dive threads and data.
Connect with 50 targeted founders and builders, not 5,000 random bots.
PHASE 2: The Multiplier Effect
β X Spaces co-hosting.
Tactical collaborations with Nano-KOLs who actually convert.
PHASE 3: The Conversion Flywheel
β Transitioning from outbound marketing to inbound community generation.
β Empowering your core believers to create content about your protocol.
β Measuring success by on-chain actions, not just impressions.
#Gagarin #G61 #Web3Growth #TwitterStrategy #SocialMediaMath
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π₯2β€1π1
βπ¨ CM Burnout: Why 99% of Web3 Communities Fail
β Top problems in the community
β βSpreading thin: Managing Discord, Telegram, Farcaster, and Twitter all at once.
β βNo boundaries: Forcing CMs to juggle moderation, marketing, and tech support.
β βFake engagement: Rewarding spam (like "say GM") just to grind levels.
ββοΈ How to fix it:
β βRole Isolation: CMs build culture. Tech support handles the bugs.
β βPlatform Focus: Master 1-2 platforms where your real audience actually lives.
β βGlobal Rotations: Set clear shift schedules and use async team communication.
βThe real question: Are your CMs building culture, or just fighting spam? Let's audit your setup in the comments π
β#G61 #CommunityManagement #Web3Growth #CMBurnout
Founders often treat Community Managers (CMs) like 24/7 support bots. The result? Burned-out teams and chats full of airdrop farmers.β
β βSpreading thin: Managing Discord, Telegram, Farcaster, and Twitter all at once.
β βNo boundaries: Forcing CMs to juggle moderation, marketing, and tech support.
β βFake engagement: Rewarding spam (like "say GM") just to grind levels.
β
β βRole Isolation: CMs build culture. Tech support handles the bugs.
β βPlatform Focus: Master 1-2 platforms where your real audience actually lives.
β βGlobal Rotations: Set clear shift schedules and use async team communication.
βThe real question: Are your CMs building culture, or just fighting spam? Let's audit your setup in the comments π
β#G61 #CommunityManagement #Web3Growth #CMBurnout
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β€1π1π₯1
βπ₯ AMA Gamefi Alpha
ββ Our BD Artem Finko (G61) joins Daniil Kozin (EasyMM), Matthew Nagy (Triumph Games), and Jorje EusΓ©bio (ChronyxStudios) to break down the latest market trends and look behind the scenes of leading Web3 studios.
Join us here:π [Link]
β
#Gagarin β#G61 #GameFi #Web3Gaming #AMA
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π₯1
π¨ "How Do You Market a Token When Ads Are 100% Banned?"
Entering the South Korean market is the ultimate test for Web3 projects. But what happens when your project (Gambling/GameFi) is strictly prohibited from traditional advertising?
β The "Gray Market" Trap:
β Buying spam bots in local Telegram and KakaoTalk groups.
β Forcing unnatural promo texts through translation tools.
Result: Instant bans by moderators, damaged brand reputation, and zero real deposits.
β
The Smart-Shilling Framework:
When 1win approached us, we didn't try to buy ads. We engineered organic demand.
β We deployed a highly localized Smart-Shilling campaign across top South Korean crypto communities. Instead of shilling links, we integrated native narratives about their upcoming TGE and reward mechanics to spark genuine debates.
π‘ Are you struggling to capture attention in restricted Tier-1 markets? Let's discuss your strategy in the comments.
#Gagarin #G61 #Web3Marketing #SmartShilling #CryptoAdoption #SouthKorea
Entering the South Korean market is the ultimate test for Web3 projects. But what happens when your project (Gambling/GameFi) is strictly prohibited from traditional advertising?
β Buying spam bots in local Telegram and KakaoTalk groups.
β Forcing unnatural promo texts through translation tools.
Result: Instant bans by moderators, damaged brand reputation, and zero real deposits.
When 1win approached us, we didn't try to buy ads. We engineered organic demand.
β We deployed a highly localized Smart-Shilling campaign across top South Korean crypto communities. Instead of shilling links, we integrated native narratives about their upcoming TGE and reward mechanics to spark genuine debates.
βΊ See the exact Smart-Shilling scripts, account warm-up framework, and the full market playbook here:
β [Here]
#Gagarin #G61 #Web3Marketing #SmartShilling #CryptoAdoption #SouthKorea
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People are trying to build a Web3 community using Web2 tools.
You spend $50 to acquire a user, and then you try to retain them with a Mailchimp newsletter.
β Open rates hover around 12% (if it doesn't hit the spam folder).
β Rampant phishing means Web3 users fundamentally don't trust crypto emails.
β You are talking to an inbox, not a portfolio.
Result: High churn, dead leads, zero on-chain conversions.
β Protocols like XMTP and WalletConnect now allow direct, secure messaging to the wallet itself.
β Messages are delivered right to the user's active interface.
β You communicate based on verified on-chain behavior (e.g., messaging only wallets that hold your NFT or staked your token).
Result: 80%+ open rates. Zero spam filters. 100% verified holders.
Email is for newsletters. Wallet messaging is for execution.
#Gagarin #G61 #Web3Growth #WalletMessaging #XMTP
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β€2π2π₯1