10 free or free-tier AI platforms/agents/tools that can help with different parts of the AI + Crypto intelligence stack (market analysis, research, security, automation, coding, and on-chain intelligence).
1. Perplexity AI — AI Crypto Research Analyst
Best for: Crypto research, narratives, market intelligence
How it helps:
✅ Research crypto projects quickly
✅ Compare protocols
✅ Summarize whitepapers
✅ Track news and narratives
✅ Analyze market-moving events
Example prompt:
"Analyze the top AI crypto projects under $500M market cap. Compare technology, tokenomics, adoption, and risks."
2. ChatGPT — Personal Crypto Intelligence Assistant
Best for: Strategy, analysis, education, automation ideas
Can help you:
✅ Build trading frameworks
✅ Analyze tokenomics
✅ Create research reports
✅ Explain smart contracts
✅ Generate trading checklists
✅ Design AI agents
Example:
"Act as a crypto hedge fund analyst. Analyze this token using fundamentals, liquidity, catalysts, and risks."
3. Claude — Deep Research & Document Analysis
Best for: Reading complex crypto documents
Useful for:
✅ Whitepaper analysis
✅ Smart contract explanations
✅ Governance proposal reviews
✅ Long research reports
Example:
"Analyze this 100-page protocol documentation and identify weaknesses."
4. Dune — AI-Assisted On-Chain Analytics
Best for: Blockchain data intelligence
Used by researchers to analyze:
✅ Wallet activity
✅ Token holders
✅ DEX volume
✅ Protocol growth
✅ Smart contract interactions
Example:
"Find wallets accumulating this token before major price movements."
5. Arkham Intelligence — Blockchain Intelligence Platform
Best for: Wallet tracking and entity intelligence
Helps identify:
✅ Whale movements
✅ Exchange flows
✅ Institutional wallets
✅ Large transactions
Example:
"Track wallets accumulating ETH during market fear."
6. DeBank — Web3 Portfolio Intelligence
Best for: Wallet monitoring
Features:
✅ Track wallet positions
✅ Monitor DeFi activity
✅ Analyze protocols
✅ Follow smart money wallets
Useful question:
"What are top crypto investors buying?"
7. Token Terminal — Crypto Fundamentals Intelligence
Best for: Fundamental analysis
Tracks:
✅ Revenue
✅ Users
✅ Fees
✅ Protocol growth
Useful for identifying:
"Which protocols are actually generating value?"
8. ChainGPT — AI Crypto Assistant
Best for: Web3-focused AI tools
Features:
✅ Crypto research
✅ Smart contract assistance
✅ Market analysis
✅ Blockchain education
9. Phantom Wallet + Built-in AI Features — AI-Enhanced Wallet Experience
Best for: Solana ecosystem users
Useful for:
✅ Wallet management
✅ Token discovery
✅ Transaction understanding
✅ Web3 interaction
10. GitHub Copilot — AI Developer Agent
Best for: Building crypto tools
Can help developers create:
✅ Trading bots
✅ Data dashboards
✅ Smart contract tools
✅ Blockchain applications
My Suggested "AI Crypto Analyst Stack" for you :
Research Layer
→ Perplexity + ChatGPT + Claude
On-Chain Intelligence
→ Dune + Arkham + DeBank
Fundamental Analysis
→ Token Terminal
Security Layer
→ Contract scanners + AI analysis
Automation Layer
→ AI agents + coding assistants
The future crypto analyst will not compete against AI.
The future crypto analyst will become AI-augmented.
The advantage will belong to people who know how to combine:
Human judgment + AI speed + On-chain data + Market psychology.
1. Perplexity AI — AI Crypto Research Analyst
Best for: Crypto research, narratives, market intelligence
How it helps:
✅ Research crypto projects quickly
✅ Compare protocols
✅ Summarize whitepapers
✅ Track news and narratives
✅ Analyze market-moving events
Example prompt:
"Analyze the top AI crypto projects under $500M market cap. Compare technology, tokenomics, adoption, and risks."
2. ChatGPT — Personal Crypto Intelligence Assistant
Best for: Strategy, analysis, education, automation ideas
Can help you:
✅ Build trading frameworks
✅ Analyze tokenomics
✅ Create research reports
✅ Explain smart contracts
✅ Generate trading checklists
✅ Design AI agents
Example:
"Act as a crypto hedge fund analyst. Analyze this token using fundamentals, liquidity, catalysts, and risks."
3. Claude — Deep Research & Document Analysis
Best for: Reading complex crypto documents
Useful for:
✅ Whitepaper analysis
✅ Smart contract explanations
✅ Governance proposal reviews
✅ Long research reports
Example:
"Analyze this 100-page protocol documentation and identify weaknesses."
4. Dune — AI-Assisted On-Chain Analytics
Best for: Blockchain data intelligence
Used by researchers to analyze:
✅ Wallet activity
✅ Token holders
✅ DEX volume
✅ Protocol growth
✅ Smart contract interactions
Example:
"Find wallets accumulating this token before major price movements."
5. Arkham Intelligence — Blockchain Intelligence Platform
Best for: Wallet tracking and entity intelligence
Helps identify:
✅ Whale movements
✅ Exchange flows
✅ Institutional wallets
✅ Large transactions
Example:
"Track wallets accumulating ETH during market fear."
6. DeBank — Web3 Portfolio Intelligence
Best for: Wallet monitoring
Features:
✅ Track wallet positions
✅ Monitor DeFi activity
✅ Analyze protocols
✅ Follow smart money wallets
Useful question:
"What are top crypto investors buying?"
7. Token Terminal — Crypto Fundamentals Intelligence
Best for: Fundamental analysis
Tracks:
✅ Revenue
✅ Users
✅ Fees
✅ Protocol growth
Useful for identifying:
"Which protocols are actually generating value?"
8. ChainGPT — AI Crypto Assistant
Best for: Web3-focused AI tools
Features:
✅ Crypto research
✅ Smart contract assistance
✅ Market analysis
✅ Blockchain education
9. Phantom Wallet + Built-in AI Features — AI-Enhanced Wallet Experience
Best for: Solana ecosystem users
Useful for:
✅ Wallet management
✅ Token discovery
✅ Transaction understanding
✅ Web3 interaction
10. GitHub Copilot — AI Developer Agent
Best for: Building crypto tools
Can help developers create:
✅ Trading bots
✅ Data dashboards
✅ Smart contract tools
✅ Blockchain applications
My Suggested "AI Crypto Analyst Stack" for you :
Research Layer
→ Perplexity + ChatGPT + Claude
On-Chain Intelligence
→ Dune + Arkham + DeBank
Fundamental Analysis
→ Token Terminal
Security Layer
→ Contract scanners + AI analysis
Automation Layer
→ AI agents + coding assistants
The future crypto analyst will not compete against AI.
The future crypto analyst will become AI-augmented.
The advantage will belong to people who know how to combine:
Human judgment + AI speed + On-chain data + Market psychology.
❤2
The biggest lesson from Sam Bankman-Fried’s story is not his downfall.
The biggest lesson is this:
The ability to recognize powerful narratives before the crowd arrives can create extraordinary outcomes.
Before the world knew these companies and technologies, they were just early-stage ideas backed by people who understood where the future was moving.
Some of the investments connected to SBF became examples of early narrative positioning:
🔹 Anthropic (AI Narrative)
Early investment: approximately $500M
Later valuation: around $75B
Lesson: AI was a small emerging narrative before becoming one of the biggest technology trends in the world.
🔹 Robinhood (Retail Finance Revolution)
Investment/exposure: approximately $648M
Later valuation: around $5B
Lesson: recognizing changing consumer behavior before mass adoption.
🔹 Genesis Digital Assets (Bitcoin Mining Infrastructure)
Investment/exposure: approximately $1.15B
Later valuation estimates: around $3B
Lesson: infrastructure plays often become valuable when the ecosystem expands.
🔹 SpaceX Exposure (Future Technology Narrative)
Investment/exposure: approximately $100M
Estimated future value: around $10B
Lesson: investing in future-defining industries before they become mainstream.
The numbers are not the main story.
The main story is the timing.
Most people enter when the narrative is already everywhere.
They buy AI after AI is trending.
They discover crypto projects after exchanges list them.
They chase ecosystems after billions of dollars have already entered.
But the biggest opportunities usually begin when:
• The market is quiet
• The community is small
• The valuation is ignored
• The narrative is still forming
This is how every major cycle works.
Early investors positioned around:
DeFi before DeFi became mainstream
NFTs before the explosion
Solana before it became a major ecosystem
AI before the current AI revolution
Memecoins before retail attention arrived
The real skill is not finding what is already successful.
The real skill is identifying:
“What could become impossible to ignore in the next 12–24 months?”
That is exactly the framework I use when analyzing early crypto opportunities.
My last days deep-dive analysis got on a project currently sitting around a $3K market cap with potential of $1B Mcap
The goal is not to claim every low-cap project becomes a billion-dollar asset.
The goal is to understand:
✅ What narrative is forming?
✅ What problem does it solve?
✅ Who is building?
✅ Is there real on-chain activity?
✅ Is the market completely ignoring it?
✅ Could this become a conversation before the crowd arrives?
Every billion-dollar project had a moment when almost nobody cared.
The difference between the crowd and the early researcher is simple:
The crowd follows attention.
The researcher follows signals.
The future is not found after the explosion.
It is found before the spark.
The biggest lesson is this:
The ability to recognize powerful narratives before the crowd arrives can create extraordinary outcomes.
Before the world knew these companies and technologies, they were just early-stage ideas backed by people who understood where the future was moving.
Some of the investments connected to SBF became examples of early narrative positioning:
🔹 Anthropic (AI Narrative)
Early investment: approximately $500M
Later valuation: around $75B
Lesson: AI was a small emerging narrative before becoming one of the biggest technology trends in the world.
🔹 Robinhood (Retail Finance Revolution)
Investment/exposure: approximately $648M
Later valuation: around $5B
Lesson: recognizing changing consumer behavior before mass adoption.
🔹 Genesis Digital Assets (Bitcoin Mining Infrastructure)
Investment/exposure: approximately $1.15B
Later valuation estimates: around $3B
Lesson: infrastructure plays often become valuable when the ecosystem expands.
🔹 SpaceX Exposure (Future Technology Narrative)
Investment/exposure: approximately $100M
Estimated future value: around $10B
Lesson: investing in future-defining industries before they become mainstream.
The numbers are not the main story.
The main story is the timing.
Most people enter when the narrative is already everywhere.
They buy AI after AI is trending.
They discover crypto projects after exchanges list them.
They chase ecosystems after billions of dollars have already entered.
But the biggest opportunities usually begin when:
• The market is quiet
• The community is small
• The valuation is ignored
• The narrative is still forming
This is how every major cycle works.
Early investors positioned around:
DeFi before DeFi became mainstream
NFTs before the explosion
Solana before it became a major ecosystem
AI before the current AI revolution
Memecoins before retail attention arrived
The real skill is not finding what is already successful.
The real skill is identifying:
“What could become impossible to ignore in the next 12–24 months?”
That is exactly the framework I use when analyzing early crypto opportunities.
My last days deep-dive analysis got on a project currently sitting around a $3K market cap with potential of $1B Mcap
The goal is not to claim every low-cap project becomes a billion-dollar asset.
The goal is to understand:
✅ What narrative is forming?
✅ What problem does it solve?
✅ Who is building?
✅ Is there real on-chain activity?
✅ Is the market completely ignoring it?
✅ Could this become a conversation before the crowd arrives?
Every billion-dollar project had a moment when almost nobody cared.
The difference between the crowd and the early researcher is simple:
The crowd follows attention.
The researcher follows signals.
The future is not found after the explosion.
It is found before the spark.
AI CAN DO ALMOST ANYTHING NOW…
So why does creating something still feel harder than it should?
The problem usually isn’t AI.
It’s one of these 4 things:
1️⃣ You’re overwhelmed by tools
Every week there’s a new “must-have” AI tool.
You spend more time testing platforms than actually creating.
No clear workflow.
No consistency.
No real progress.
2️⃣ Your output doesn’t look premium yet
You can generate images, videos, content, and ideas…
But something still feels off.
The quality isn’t where you want it.
The results don’t look professional enough.
3️⃣ You don’t know what’s actually worth creating
AI has removed many barriers.
Today, almost anyone can create.
The real advantage is knowing:
“What should I build that people actually need?”
4️⃣ You’re creating, but it’s not producing results
You’re posting.
You’re experimenting.
You’re learning.
But it’s not converting into opportunities, clients, or income.
Here’s where most people get stuck:
They solve the wrong problem.
❌ They buy another tool when they need a better strategy.
❌ They watch another tutorial when they need practical execution.
❌ They create more content when they need the right audience and distribution.
That’s exactly why you need to join the Coderstech Academy AI Community.
A place where you learn:
🤖 The right AI tools to use
⚡️ Real-world AI workflows
🚀 How to create powerful content and products
💰 How to turn AI skills into opportunities
Stop collecting tools.
Start building with intelligence.
Join the Coderstech Academy AI Community 👇
https://t.me/PTAsMAI
Now tell me:
What’s actually stopping you from winning with AI?
A) I don’t know where to start
B) My output doesn’t look professional yet
C) I don’t know what to focus on
D) I’m creating, but I’m not getting results
Your answer matters.
So why does creating something still feel harder than it should?
The problem usually isn’t AI.
It’s one of these 4 things:
1️⃣ You’re overwhelmed by tools
Every week there’s a new “must-have” AI tool.
You spend more time testing platforms than actually creating.
No clear workflow.
No consistency.
No real progress.
2️⃣ Your output doesn’t look premium yet
You can generate images, videos, content, and ideas…
But something still feels off.
The quality isn’t where you want it.
The results don’t look professional enough.
3️⃣ You don’t know what’s actually worth creating
AI has removed many barriers.
Today, almost anyone can create.
The real advantage is knowing:
“What should I build that people actually need?”
4️⃣ You’re creating, but it’s not producing results
You’re posting.
You’re experimenting.
You’re learning.
But it’s not converting into opportunities, clients, or income.
Here’s where most people get stuck:
They solve the wrong problem.
❌ They buy another tool when they need a better strategy.
❌ They watch another tutorial when they need practical execution.
❌ They create more content when they need the right audience and distribution.
That’s exactly why you need to join the Coderstech Academy AI Community.
A place where you learn:
🤖 The right AI tools to use
⚡️ Real-world AI workflows
🚀 How to create powerful content and products
💰 How to turn AI skills into opportunities
Stop collecting tools.
Start building with intelligence.
Join the Coderstech Academy AI Community 👇
https://t.me/PTAsMAI
Now tell me:
What’s actually stopping you from winning with AI?
A) I don’t know where to start
B) My output doesn’t look professional yet
C) I don’t know what to focus on
D) I’m creating, but I’m not getting results
Your answer matters.
❤1
Most people will watch others make money online and wonder, “How did they see it early?”
The difference is simple:
They paid attention before everyone else did.
Starting today, I’ll be sharing something important over the next few days that you don’t want to miss.
If you’re serious about building new income opportunities from home, stay close, follow every update, and be ready to take action.
The difference is simple:
They paid attention before everyone else did.
Starting today, I’ll be sharing something important over the next few days that you don’t want to miss.
If you’re serious about building new income opportunities from home, stay close, follow every update, and be ready to take action.
The confirmed TGE & Airdrop calendar just dropped for Q2, Q3 & Q4.
These aren't rumors. These aren't "maybe soon."
These are officially confirmed distributions — and the window to position is closing. 👇
✅ OFFICIALLY CONFIRMED TGE & AIRDROP LAUNCHES — Q2 / Q3 / Q4
🔹 Dawn Network
🔹 Gaea Network
🔹 Kii Chain
🔹 DAC Testnet
🔹 City Protocol
🔹 Startable
🔹 Grass S2 (Expected)
🔹 Teneo Protocol
🔹 Perceptron Network
🔹 Zoth
🔹 Pheasant Network
🔹 Zetarium
🔹 Gradient Network
🔹 Veera Airdrop
🔹 Goldfish
🔹 AllScale
+ More being added as confirmations drop.
The ones I'm watching closest:
→ Grass S2 — Season 1 rewards were real. S2 is bigger.
→ Gradient Network — Consistent builders. Airdrop incoming.
→ Teneo Protocol — Quietly one of the most active farming communities right now.
→ Dawn Network — Extension-based farming with confirmed TGE. Easy entry point.
If you're actively farming airdrops — this is your Q2/Q3/Q4 hit list.
30+ additional projects dropping soon 👇
https://t.me/CoderstechGem
Which one are you most bullish on?
Drop it below. ⬇️
#Airdrop #Crypto #TGE #AirdropConfirmed #Web3
These aren't rumors. These aren't "maybe soon."
These are officially confirmed distributions — and the window to position is closing. 👇
✅ OFFICIALLY CONFIRMED TGE & AIRDROP LAUNCHES — Q2 / Q3 / Q4
🔹 Dawn Network
🔹 Gaea Network
🔹 Kii Chain
🔹 DAC Testnet
🔹 City Protocol
🔹 Startable
🔹 Grass S2 (Expected)
🔹 Teneo Protocol
🔹 Perceptron Network
🔹 Zoth
🔹 Pheasant Network
🔹 Zetarium
🔹 Gradient Network
🔹 Veera Airdrop
🔹 Goldfish
🔹 AllScale
+ More being added as confirmations drop.
The ones I'm watching closest:
→ Grass S2 — Season 1 rewards were real. S2 is bigger.
→ Gradient Network — Consistent builders. Airdrop incoming.
→ Teneo Protocol — Quietly one of the most active farming communities right now.
→ Dawn Network — Extension-based farming with confirmed TGE. Easy entry point.
If you're actively farming airdrops — this is your Q2/Q3/Q4 hit list.
30+ additional projects dropping soon 👇
https://t.me/CoderstechGem
Which one are you most bullish on?
Drop it below. ⬇️
#Airdrop #Crypto #TGE #AirdropConfirmed #Web3
Telegram
(G)Coderstech Blockchain & AI Africa
Coderstech is a Blockchain and AI Technology Community focused on:
— Educating and Enlightening People on
— How to Create Assets on the Blockchain
— Build Communities and also
— Make Money in Cryptocurrency Space.
— Educating and Enlightening People on
— How to Create Assets on the Blockchain
— Build Communities and also
— Make Money in Cryptocurrency Space.
The Honest Timeline of Going From $0 to $20,000+/Month Online Using AI Tools
Nobody shows you this part.
Everyone shows you screenshots of people making thousands online.
Nobody shows you the months of learning, testing, failing, improving, and building before the money comes.
So here is the realistic journey 👇
Month 1: The Foundation Phase
Downloaded AI tools.
Created accounts on:
Claude
ChatGPT
Canva AI
Notion AI
Beehiiv newsletter
Gumroad
X (Twitter)
YouTube
Started learning:
How to use AI for content creation
How to create digital products
How to automate simple online tasks
How to build an audience
Created:
First YouTube channel idea
First content strategy
First digital product plan
Followers:
0
Subscribers:
0
Income:
$0
Excitement level:
100%
Reality check:
AI does not make you successful overnight.
AI gives you speed, but you still need skills, consistency, and execution.
Month 2: Learning and Testing
Started creating content daily.
Created:
AI-generated videos
Educational posts
Short-form content
YouTube faceless videos
Tested different niches:
AI tools
Finance
Education
Technology
Business
Created first digital products:
AI prompt packs
Templates
Guides
Results:
Followers:
250
Subscribers:
80
Income:
$97
First lesson:
People don't pay because you created something.
People pay because you solve a problem.
Month 3: First Signs of Growth
Started understanding what people wanted.
Stopped creating random content.
Focused on:
One niche
One audience
One clear problem
Started building:
Faceless YouTube channels
Email newsletter
Community
Created first services:
AI content creation
AI automation
Research assistance
Results:
Followers:
1,000+
Email subscribers:
350+
First clients:
3
Income:
$500
First confidence moment:
"This is actually possible."
Month 4: Building Authority
Started becoming known for one specific topic.
Created:
Weekly newsletter
YouTube videos
Educational threads
AI tutorials
Launched first serious digital product.
Price:
$49
Sales:
40
Revenue:
$1,960
Services:
$1,500
Total:
$3,460/month
Big realization:
Your audience becomes your biggest online asset.
Month 5: Creating Systems
Stopped doing everything manually.
Used AI to build systems.
Created:
Content workflow
Video production system
Email automation
Sales funnel
Expanded:
YouTube content production
Digital products
AI services
Results:
Audience:
8,000+
Subscribers:
2,000+
Monthly income:
$5,000
The mindset shift:
You stop chasing money.
You start building systems that create value.
Month 6: First $10K Month
Started scaling.
Added:
Premium AI training
Consulting
Membership community
Created different offers:
Low ticket:
$29 products
Mid ticket:
$199 courses
High ticket:
$1,000 consulting
Results:
Products:
$4,000
Services:
$4,000
Community:
$2,000
Total:
$10,000/month
Month 7 - 12: The Scaling Phase
The focus changes from learning to building.
Started:
Growing multiple faceless YouTube channels
Building a team
Automating content creation
Creating bigger offers
Building partnerships
Results after 12 months:
Followers:
100,000+
Email subscribers:
30,000+
Monthly income:
$20,000 - $30,000+
The Truth Nobody Tells You
The first $100 is harder than the first $10,000.
Because the first $100 proves that someone is willing to pay for the value you create.
The next $10,000 comes from improving your system.
AI is not the business.
AI is the leverage.
The winners will not be people who simply know how to use AI.
The winners will be people who combine:
✅ AI tools
✅ Creativity
✅ Knowledge
✅ Consistency
✅ Distribution
✅ Problem solving
IMPORTANT TASK BEFORE OUR NEXT AI FACELESS YOUTUBE TRAINING 🚀
As we are waiting to fully resume our AI Faceless YouTube Training Class, I would like everyone here to start doing this immediately.
Do not wait until the training starts before taking action.
Your preparation begins now.
Here is what I want everyone to do:
1. Create Your AI Toolkit
Open accounts on:
✅ ChatGPT
✅ Claude
✅ Canva
✅ ElevenLabs
✅ CapCut
✅ YouTube Studio
Learn what each tool can do.
2. Choose Your YouTube Niche
Start researching:
What type of content people are watching
What problems people search for
What channels are growing fast
Find a niche where you can create content consistently.
3. Study Successful Faceless Channels
Spend at least 30 minutes daily analyzing:
Their titles
Their thumbnails
Their video structure
Their storytelling style
Do not copy.
Study the strategy.
4. Prepare Your First 10 Video Ideas
Before the training begins, you should already have:
Your niche selected
Your channel idea
Your first 10 video topics
The goal is simple:
When we start the full training, you should not be starting from zero.
You should already have your foundation ready.
Remember:
The people who win with AI are not the ones who wait for the perfect moment.
They are the ones who start building while others are still watching. 🚀
Nobody shows you this part.
Everyone shows you screenshots of people making thousands online.
Nobody shows you the months of learning, testing, failing, improving, and building before the money comes.
So here is the realistic journey 👇
Month 1: The Foundation Phase
Downloaded AI tools.
Created accounts on:
Claude
ChatGPT
Canva AI
Notion AI
Beehiiv newsletter
Gumroad
X (Twitter)
YouTube
Started learning:
How to use AI for content creation
How to create digital products
How to automate simple online tasks
How to build an audience
Created:
First YouTube channel idea
First content strategy
First digital product plan
Followers:
0
Subscribers:
0
Income:
$0
Excitement level:
100%
Reality check:
AI does not make you successful overnight.
AI gives you speed, but you still need skills, consistency, and execution.
Month 2: Learning and Testing
Started creating content daily.
Created:
AI-generated videos
Educational posts
Short-form content
YouTube faceless videos
Tested different niches:
AI tools
Finance
Education
Technology
Business
Created first digital products:
AI prompt packs
Templates
Guides
Results:
Followers:
250
Subscribers:
80
Income:
$97
First lesson:
People don't pay because you created something.
People pay because you solve a problem.
Month 3: First Signs of Growth
Started understanding what people wanted.
Stopped creating random content.
Focused on:
One niche
One audience
One clear problem
Started building:
Faceless YouTube channels
Email newsletter
Community
Created first services:
AI content creation
AI automation
Research assistance
Results:
Followers:
1,000+
Email subscribers:
350+
First clients:
3
Income:
$500
First confidence moment:
"This is actually possible."
Month 4: Building Authority
Started becoming known for one specific topic.
Created:
Weekly newsletter
YouTube videos
Educational threads
AI tutorials
Launched first serious digital product.
Price:
$49
Sales:
40
Revenue:
$1,960
Services:
$1,500
Total:
$3,460/month
Big realization:
Your audience becomes your biggest online asset.
Month 5: Creating Systems
Stopped doing everything manually.
Used AI to build systems.
Created:
Content workflow
Video production system
Email automation
Sales funnel
Expanded:
YouTube content production
Digital products
AI services
Results:
Audience:
8,000+
Subscribers:
2,000+
Monthly income:
$5,000
The mindset shift:
You stop chasing money.
You start building systems that create value.
Month 6: First $10K Month
Started scaling.
Added:
Premium AI training
Consulting
Membership community
Created different offers:
Low ticket:
$29 products
Mid ticket:
$199 courses
High ticket:
$1,000 consulting
Results:
Products:
$4,000
Services:
$4,000
Community:
$2,000
Total:
$10,000/month
Month 7 - 12: The Scaling Phase
The focus changes from learning to building.
Started:
Growing multiple faceless YouTube channels
Building a team
Automating content creation
Creating bigger offers
Building partnerships
Results after 12 months:
Followers:
100,000+
Email subscribers:
30,000+
Monthly income:
$20,000 - $30,000+
The Truth Nobody Tells You
The first $100 is harder than the first $10,000.
Because the first $100 proves that someone is willing to pay for the value you create.
The next $10,000 comes from improving your system.
AI is not the business.
AI is the leverage.
The winners will not be people who simply know how to use AI.
The winners will be people who combine:
✅ AI tools
✅ Creativity
✅ Knowledge
✅ Consistency
✅ Distribution
✅ Problem solving
IMPORTANT TASK BEFORE OUR NEXT AI FACELESS YOUTUBE TRAINING 🚀
As we are waiting to fully resume our AI Faceless YouTube Training Class, I would like everyone here to start doing this immediately.
Do not wait until the training starts before taking action.
Your preparation begins now.
Here is what I want everyone to do:
1. Create Your AI Toolkit
Open accounts on:
✅ ChatGPT
✅ Claude
✅ Canva
✅ ElevenLabs
✅ CapCut
✅ YouTube Studio
Learn what each tool can do.
2. Choose Your YouTube Niche
Start researching:
What type of content people are watching
What problems people search for
What channels are growing fast
Find a niche where you can create content consistently.
3. Study Successful Faceless Channels
Spend at least 30 minutes daily analyzing:
Their titles
Their thumbnails
Their video structure
Their storytelling style
Do not copy.
Study the strategy.
4. Prepare Your First 10 Video Ideas
Before the training begins, you should already have:
Your niche selected
Your channel idea
Your first 10 video topics
The goal is simple:
When we start the full training, you should not be starting from zero.
You should already have your foundation ready.
Remember:
The people who win with AI are not the ones who wait for the perfect moment.
They are the ones who start building while others are still watching. 🚀
The Truth Nobody Tells You About Making Money Online
The first $100 is harder to see than the first $10,000.
The first $100 is harder to see than the first $10,000.
100+ AI Tools That Help You Get Hours of Work Done in Minutes ⏱️
1. Presentation
- Gamma AI
- Decktopus
- Beautiful AI
- Slides AI
- Designs AI
2. Ideas
- Claude
- ChatGPT
- Bing Chat
- Perplexity
- Copilot
3. Website
- Dora
- 10Web
- Framer
- Unicorn
- Style AI
4. Writing
- Jasper
- HIX AI
- Longshot
- Textblaze
- Jenny AI
5. Meeting
- Tldv
- Krisp
- Otter
- Fathom
- Noty AI
6. Chatbot
- Droxy
- Chatbase
- Chatsimple
- CustomGPT
- Mutual Info
7. Automation
- Make
- Zapier
- Xembly
- Bardeen
- Levity
8. UI/UX
- Figma
- UiMagic
- Uizard
- InstantAI
- Photoshop
9. Image
- Fotor
- Leap AI
- Midjourney
- Stability AI
- Microsoft Designer
10. Video
- Klap
- Opus
- Eightify
- InVideo
- HeyGen
11. Design
- Canva
- Flair AI
- Designify
- Clipdrop
- Magician Design
12. Prompts
- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt
13. Productivity
- Notion
- Merlin
- Trello
- Grammarly
- TinyWow
14. Logo Generator
- Looka
- Brandmark
- LogoMakr
- Stockimg
- Namecheap
15. Marketing
- Pencil
- Ai-Ads
- AdCopy
- Simplified
- AdCreative
16. Twitter
- Typefully
- Tweetlify
- Tapilo
- Hypefury
- TweetHunter
1. Presentation
- Gamma AI
- Decktopus
- Beautiful AI
- Slides AI
- Designs AI
2. Ideas
- Claude
- ChatGPT
- Bing Chat
- Perplexity
- Copilot
3. Website
- Dora
- 10Web
- Framer
- Unicorn
- Style AI
4. Writing
- Jasper
- HIX AI
- Longshot
- Textblaze
- Jenny AI
5. Meeting
- Tldv
- Krisp
- Otter
- Fathom
- Noty AI
6. Chatbot
- Droxy
- Chatbase
- Chatsimple
- CustomGPT
- Mutual Info
7. Automation
- Make
- Zapier
- Xembly
- Bardeen
- Levity
8. UI/UX
- Figma
- UiMagic
- Uizard
- InstantAI
- Photoshop
9. Image
- Fotor
- Leap AI
- Midjourney
- Stability AI
- Microsoft Designer
10. Video
- Klap
- Opus
- Eightify
- InVideo
- HeyGen
11. Design
- Canva
- Flair AI
- Designify
- Clipdrop
- Magician Design
12. Prompts
- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt
13. Productivity
- Notion
- Merlin
- Trello
- Grammarly
- TinyWow
14. Logo Generator
- Looka
- Brandmark
- LogoMakr
- Stockimg
- Namecheap
15. Marketing
- Pencil
- Ai-Ads
- AdCopy
- Simplified
- AdCreative
16. Twitter
- Typefully
- Tweetlify
- Tapilo
- Hypefury
- TweetHunter
Time is running out.
When the CA finally drops, it’s currently sitting under a $5K market cap — yet it carries narratives across AI, DePIN, RWAs, and a cultural movement all in one ecosystem. That combination alone makes it the kind of structure that could scale toward a $1B+ market cap over time.
The entry points will never look the same:
You can enter at $50K MC
You can enter at $100K MC
You can enter at $2M, $6M… or even after it’s already beyond $250M+
But the early conviction window is right here.
No bundled allocations. No team-controlled supply. No OTC deals. No paid marketing engine. Just a fully organic, culture built in the spirit of 2021’s early crypto cycles.
The platform itself is designed to generate over $1M monthly in revenue, with 2% allocated to buybacks and burns. On top of that, more than 30% of total supply is expected to be staked within the first month.
No noise. No hype cycle dependency. Just structure, utility, and early positioning.
Are you paying attention at all ?
When the CA finally drops, it’s currently sitting under a $5K market cap — yet it carries narratives across AI, DePIN, RWAs, and a cultural movement all in one ecosystem. That combination alone makes it the kind of structure that could scale toward a $1B+ market cap over time.
The entry points will never look the same:
You can enter at $50K MC
You can enter at $100K MC
You can enter at $2M, $6M… or even after it’s already beyond $250M+
But the early conviction window is right here.
No bundled allocations. No team-controlled supply. No OTC deals. No paid marketing engine. Just a fully organic, culture built in the spirit of 2021’s early crypto cycles.
The platform itself is designed to generate over $1M monthly in revenue, with 2% allocated to buybacks and burns. On top of that, more than 30% of total supply is expected to be staked within the first month.
No noise. No hype cycle dependency. Just structure, utility, and early positioning.
Are you paying attention at all ?
With Nansen, you can track what every trader is doing on-chain in real time.
It’s one of the core tools I use for on-chain intelligence and market analysis.
Spot the signal. Execute the trade.
It’s one of the core tools I use for on-chain intelligence and market analysis.
Spot the signal. Execute the trade.