Cj Z 🎯 Profile picture
Aug 24, 2022 16 tweets 9 min read Read on X
I’ve heard @NFT_GOD yesterday for the first time!

@GratefulApe_eth & @beast_eth hosted a super informative Twitter space.

If I sum up in one word, #Amazing!

* @NFT_GOD made some bold statements about NFT Space!

I'd like to share the main points with you:
🧵👇 Image
2/16
Abstract:

• Best Twitter Audience building strategy
• Sell shaming and how to tackle that
• Biggest mistake of NFT traders right now
• Best way to evaluate NFT projects
• How NFT space will look like in 5 years
• Will the #BAYC have historical value?
and much more...
3/16
- Best Twitter Growth Model

Quality over Quantity! Post twice a day but post best possible content.

Tweeting 40 times a day will burn you out and it won’t be much fun.

Keep posting best quality content and Twitter Algorithm will help you grow.

4/16
When you are under 1000 followers, it’s the best time!

You can do a lot of experiments to see what suits you the best.

Start with broad topics, then focus on what worked & what you like to say.

5/16
Authenticity is Everything!

People will detect from their sub conscious mind that if you are authentic or not, so talk about things that you know or passionate about.

6/16
We are in a good spot right now, the @amazon or other giant brands of Web3 are not built yet.

Grow an audience and you can do anything!

7/16
- Biggest mistake of NFT traders right now.

Biggest mistake people are making is chasing!

One project pumps and everyone on twitter will talk about it and some people will buy that & becomes liquidity exit.

Balancing your net worth is important.

8/16
Keep your life balanced.

Stop Dopamine hits!

Balancing is doing everything in a healthy way. Not too low & not too high on dopamine.

9/16
@NFT_GOD said the satisfaction he got by building an audience is same as winning good trades.

10/16
- Sell shaming

@NFT_GOD said he never felt guilty while trading stocks but he has to think about a lot of things before selling NFTs.

Keep emotions out of NFTs by treating them as an asset class.

Don’t be afraid of sell shaming. Take Profits!

11/16
- Best way to evaluate NFT projects.

Think of NFT projects as early-stage startups

Think like a VC and ask questions:
• What is different in this project?
• Team behind
• Track Record
• Plan

If you can’t find good answers, it’s just gambling!
12/16
- Is #BAYC going to have historical value or not?

@NFT_GOD said “I don’t think @BoredApeYC will have historical value like @cryptopunksnfts.

They messed up when they gone to video game (@OthersideMeta) route and odds of #BAYC to be successful is tough here"
13/16

- How NFT space will look like in 5 years

@NFT_GOD said “I don’t believe metaverse will happen in next 10 years. We don’t have the infrastructure for that right now”

After 5 Years we might see glimpses of Metaverse.
- Digital Assets
- Creator Economies
- Avatars
14/16
- What an average person wants from NFTs?

@NFT_GOD shared a story with his father that he couldn’t find the best pitch for his father till now, on how NFT Tech. will make his life easy.

Average person don’t care about #BAYC. The don’t want to spend 50k for that.
15/16
On-Boarding process should be easier and less risky.

NFT Tech. should go on background and product innovation should be the focus.

“No project has unique utility right now. Only Utility right now is Art and Historical value.”

16/16
End Remarks:

• Brilliant questions by @GratefulApe_eth & @beast_eth.

• Again, @NFT_GOD proved, he is different!

I appreciate his vision, unique perspective, and easy explanations.

NFT Tech has a bright future. Innovators worth gold in this space.

@cj_zZZz

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More from @cj_zZZz

Jan 20
Deepseek:

An Open Source AI Model that outperformed:
- Llama 3.2
- Gpt4o
- o1 mini

Here's everything you need to know about Chinese Deepseek Model:
🧵 Image
DeepSeek is a Chinese-developed open-source LLM series of models.

I would say this is the first real Open Source model.

It has provided details about what data and techniques it used to train the model.

MIT licence, which means you can train and build AI commercial products.
Deepseek now have 2 flagship models:
1. Deepseek-v3
2. Deepseek r1

Deepseek v3 is is competing with GPT4o and Clade Sonnet 3.5.

v3 outperformed GPT4o and Sonnet 3.5 in MMLU benchmark (to understand human language)

and It is 10x cheaper than GPT$o and Sonnet 3.5.

Deepseek API pricing:

Input: $0.27/million tokens ($0.07/million tokens with cache hits) and output: $1.10/million tokens

Claude 3.5 Sonnet API pricing:

Input costs $3.00 per million tokens, and output costs $15.00 per million tokens.

GPT4o API Pricing:

Input costs $2.50 per million tokens, and output costs $10.00 per million tokens.

Note: Sonnet 3.5 is still the best Coding model and GPT4o is great at logic and Maths.Image
Read 8 tweets
Jan 11
Cursor AI Coding Crash Course:
🧵 Image
In last 5 months, I've built 30+ projects with AI code.

And I found that Cursor is the best AI Coding IDE for complex applications like:

- Web applications
- Mobile Applications
- Downloadable Software

So If you master Cursor, you can code anything!

Let's start...
1. Ideation/Inspiration

Start with mapping out your idea. This is a very important step.

You need to visualize the screens, features, layout in your head.

You can draw on paper or go to dribbble or behance for UI design inspirations.Image
Read 16 tweets
Jan 8
In last 45 days, I wrote 12 Tutorials on AI tools.

If you missed any of them,

Here's the Master Thread for you:
🧵 Image
2. Tips and Tricks for Cursor & Bolt

Read 14 tweets
Jan 6
How to Create a Modern Landing Page?

→ Plan it with CodeGuide
→ Code it with Bolt .new
→ Deploy it on Netlify

Here's a Step by Step Guide:
🧵 Image
1. Take Inspirations

You need to spend some time visualizing how your landing page would look like.

For this you can go to:
- Dribbble
- Landingfolio
- onepagelove
- saaslandingpage

Once you find a style you like. Take notes of hero section, color pallete, styling etc.
2. Use CodeGuide Template

CodeGuide will help you write:
- Project Requirements Doc for your landing page
- Landing Page Copy
- Landing Page Styling Guide (Frontend Guidelines)

We'll attach these docs to Bolt and it'll save us tokens and time and landing page will look unique. Image
Read 14 tweets
Jan 3
Launch Your First SaaS with AI.

Here's a 10-Step Plan for you:
🧵 Image
1. Research

Build something that people would pay for.

Here're few ideas:
- Build something that you're struggling with in daily workflow. Solve your own pain.

- Find a market gap. Analyze what's missing in the market. How new AI tech can fill this gap.

- Clone something. If a company is charging big bucks, clone there core features and resell to their customers.

- Read trend reports. Data never lie. Find a trend that your passionate about and ride the wave.

If you work with these 4 strategies, I'm 98% sure you'll have a product idea in next 7 days.
2. Structurize your Idea.

After you find your idea you need to:
- study competitors (cuz there's always someone)
- research web to collect stats, facts around that idea.
- study market cap, b2b or b2c model.

Use o1 pro, ChatGPT search, Perplexity to collect data and make a brain dump file (store everything related to that idea in that file)

This exercise will make you grounded. You have data to support that you're upto something.

Now you need to turn that idea into the product.

Use GPT o1 to have a long chat. Just paste your thoughts, what you want to create?

What can be the features in MVP?

what should be your offer?

Traget audience?

Pricing etc.

This will help you create a Product Draft.
Read 13 tweets
Jan 2
Complete step-by-step guide on Cursor:
🧵 Image
Let's start with basics: How AI coding works?

We prompt AI model in plain english and they turn our request into code.

The better the instructions the better the code!

To create detailed instructions we use AI to write us detailed project development documentation.

This step is very important and can't be skipped if you want to build production-ready application.Image
GPT4o model and Claude Sonnet 3.5 model are implementation models.

Which means you give it a plan and they'll execute very well.

BUT if you don't give them a plan, they'll "think" (which is bad because they are not reasoning models) and things will start to break.
Read 15 tweets

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