The question is:

Are you watching the blockchain… or are you waiting for someone on Twitter to tell you what happened?

I'm preparing a deep-dive training where I will teach my exact framework for hunting:

🔥 Early-stage microcaps
🔥 Smart money accumulation
🔥 Whale movements
🔥 KOL wallet tracking
🔥 Hidden narratives before mass adoption
🔥 On-chain signals most traders ignore

This is the skill that separates:
The people who chase pumps…
from the people who position before the crowd.
The next cycle will create new winners.

The question is:
Will you discover them early, or will you become exit liquidity for those who did?

Comment "ONCHAIN" if you want early access.

The next generation of crypto hunters is being built now.

On-Chain Intelligency Training
16TH JUNE, 2026

I'm going to share a coin with you that currently has a market value of $3,000.Mcap

It has the potential to reach a $1 billion market cap — though of course, no promises or guarantees. Nothing is promised, nothing is certain

The deal is that you commit to holding it until it achieves a 333,333x return, which would bring it up to that $1 billion valuation.

Do you accept?

rewrite it " Where are my crypto bros?

Freelance AI Gigs in Nigeria

AI Research Assistant – Support AI teams with literature reviews, testing, and documentation.

Voice AI Contributor – Record voice samples for speech recognition models.

Video Data Collector – Capture short smartphone videos for training computer vision systems.

Language Annotator – Label text in local languages (Yoruba, Hausa, Tiv, Igbo) for AI projects.

AI Trainer – Provide feedback on AI-generated outputs to improve accuracy.

LLM Evaluator – Review chatbot responses for quality and correctness.

Image Tagging Specialist – Annotate images for computer vision datasets.

Data Labeler – Categorize text, audio, or video data for machine learning.

AI Policy Reviewer – Check AI outputs against ethical and compliance guidelines.

Crowdsourced AI Tester – Participate in usability testing of AI apps and tools.

🖥 Platforms Where These Jobs Appear
Upwork – Freelance gigs for AI annotation, training, and evaluation.

Freelancer – Short-term AI projects, often remote.

Remotasks – Popular for Nigerians; offers image tagging, text annotation, and voice data collection.

Clickworker – Microtasks like text categorization and audio transcription.

Appen – Global AI data collection projects, open to African workers.

🚀 Why Freelance AI Gigs Work Well
Flexible: Work on short-term projects at your own pace.

Accessible: No coding required; tasks are annotation, labeling, or participation-based.

Global demand: AI companies constantly need diverse voices, languages, and perspectives.

AI is not just creating the next generation of apps.

It is becoming the intelligence layer behind the future of crypto.

From trading bots that adapt to market conditions…

To AI systems detecting fraud before humans notice…

To autonomous DeFi protocols managing themselves…

AI + Crypto is creating a financial system that thinks.

A thread 🧵👇

1/ Crypto's biggest weakness has always been complexity.

Markets move 24/7.

Millions of transactions happen every hour.

Thousands of new tokens launch every month.

Humans cannot analyze everything.

This is where AI enters.

AI doesn't replace crypto.

It gives crypto intelligence.

2/ AI-Powered Trading: The End of Emotional Trading?

Most traders lose because of:

❌ Fear
❌ Greed
❌ Poor risk management
❌ Late decisions

AI trading systems analyze:

• Price patterns
• Liquidity movements
• Market sentiment
• On-chain activity
• Social trends
Some advanced models use machine learning to adapt strategies based on changing market conditions.
The future trader may not be a person staring at charts.
It may be a human managing an AI trading system.

3/ The Rise of AI Crypto Agents

Imagine an AI agent that can:
→ Monitor thousands of wallets
→ Analyze hundreds of protocols
→ Find opportunities instantly
→ Execute transactions based on your rules
The next generation of crypto users may not manually interact with every protocol.
They will communicate with intelligent agents.
"Find me the best yield opportunities with low risk."

"Monitor my portfolio and rebalance when needed."

4/ AI As Crypto's Security System

Crypto has a massive problem:

Scams.

Hacks.

Rug pulls.

Wallet exploits.
But AI can become the industry's immune system.
Machine learning models can analyze:
• Suspicious wallet behavior
• Abnormal transactions
• Smart contract vulnerabilities
• Coordinated attack patterns

Before humans react, AI can identify potential threats.

5/ AI Detecting Rug Pulls Before They Happen

A future AI security layer could analyze:

🔍 Developer wallet movements

🔍 Token allocation patterns

🔍 Liquidity changes

🔍 Contract permissions

🔍 Social manipulation signals

Imagine receiving:

"Warning: This project shows 87% probability of malicious behavior."

Before you invest.

6/ AI + DeFi Governance

Today, many DAOs struggle with:

Low voter participation
Complex proposals
Slow decision-making
AI could help by:

• Summarizing proposals
• Predicting possible outcomes
• Detecting governance attacks
• Optimizing treasury decisions

The DAO of the future may not just vote.

It may think.

7/ AI Will Transform Blockchain Infrastructure

Blockchain networks need:

Speed.

Efficiency.

Scalability.

AI can optimize:

⚡️ Transaction routing

⚡️ Network performance

⚡️ Validator operations

⚡️ Resource allocation

The combination of decentralized networks and artificial intelligence could create a completely new digital economy.

8/ The Bigger Picture

Crypto gave the world:
Digital ownership.
AI gives the world:

Digital intelligence.

Together they create something bigger:
A financial system that can analyze, learn, adapt, and operate autonomously.
AI is not just another crypto narrative.
It may become the operating system of the next financial era.

9/ My prediction:

The biggest winners of the next decade may not be projects that simply put "AI" in their name.

They will be projects that genuinely combine:

✅ Real AI capabilities
✅ Blockchain infrastructure
✅ User adoption
✅ Economic value

The market will separate AI innovation from AI marketing.

10/ Final Question:

Would you trust an AI agent to:

Manage your crypto portfolio?

Vote in a DAO on your behalf?

Detect scams before you invest?

The AI + Crypto revolution has started.

The question is:

Are you learning early enough?

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.

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.

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.

ADVISE FOR CRYPTO BEGINNERS.

Do you think PI would rebound from here?

HOW TO DO YOUR OWN RESEARCH

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 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

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. 🚀

The Truth Nobody Tells You About Making Money Online

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