Thread by @Danny_Crypton

I created a literal crypto money printer

Not even a clickbait or smth

Put in $125 $pnut - walked away with $84,312 in FIVE DAYS

Here's how it's done:

[will delete in 12 hours] 🧵👇

Total meme market cap = $117B (3.7% of crypto mc)

Memes are the DeFi of this cycle, but the truth is...

90% of the coins released are literal trash.

And the remaining 10% follow the same pattern:

➤ Insiders buy in early
➤ X shill
➤ Insiders cash out

If everyone is already talking about a meme coin when you hear about it – it's already too late.

There's a way to beat the crowd: an automated GPT-4.0 bot 👇

This AI bot found it before me:

$pnut [340x]
$act [165x]
$goat [44x]
$michi [74x]

So, let's start building your bot 👇

1️⃣ Choose the information source.

The most important part of the bot is its source for collecting information and gaining insights.

Possible sources:

➤ Twitter degens
➤ Discord community
➤ Telegram alpha groups

Below, I will leave a list of Twitter accounts to help the AI understand the current meta and sort tokens by good tickers 👇

Degens sources on Twitter that we use:

@Danny_Crypton
@DefiWimar
@CryptoNobler
@0x_Discover
@0xPhilanthrop
@0xPepesso

➤ Head to: to chatgpt.com
➤ Request to write Python code for analyzing info from Twitter lists

This code sorts tokens by their Twitter buzz.

Here's the prompt I used:

"As a Python programmer with 5 years of experience in web development and website scraping, write code that will analyze information about popular narratives and tokens from this Twitter list: {your Twitter list link here}"

2️⃣ Now, let's track new tokens on Pump Fun.

➤ Ask GPT-4.0 to write Python code that pulls token data from "".

Once the code is ready, add filters to separate the gems from the junk. pump.fun/board

3️⃣ Rate the project's Twitter:

➤ Have GPT write code to assess the quality of the Twitter audience using "".

The code should analyze the number of influencers and degens among the followers. app.tweetscout.io

4️⃣ Score token CA:

➤ Use "" to check each CA.

The contract should be marked as "Good," and top holders shouldn't control a large portion of the supply.

The basic bot setup is complete.

You can add more advanced filters at this stage, but I'll show you how to do that later.rugcheck.xyz

5️⃣ Token buying is a key part of the code:

➤ Have ChatGPT write Python code to quickly purchase tokens via Trojan Bot.

When the bot identifies a potential 100x play, it sends the token's CA to Trojan Bot.

For this to work smoothly, you'll need to configure Trojan:

Trojan Settings:

General Settings:

➤ Head to:
➤ Priority Fee: 0.0025 SOL
➤ Use Jito (MEV): On
➤ Slippage buy: 10%
➤ Slippage sell: 30%

Copytrade Settings:

➤ Auto Buy: On
➤ Auto Sell: On t.me/toxi_solana_bo…

Final step:

➤ Ask GPT to merge all previous code samples into the final bot.

Merged code will automatically pick tokens from Pump Fun and analyze them based on Rugcheck results, Twitter score, and Twitter list.

To boost your win rate, ask GPT-4.0 to add these features:

➤ Number of whales holding the token
➤ Has the dev sold their tokens?
➤ Is the Dex paid or not?

crazy challenge "lfg 3" complete.

started with $15 - now $10,539

it took us 6 days, and 72 people joined us.

round 4 is coming soon, so join the live mode - t.me/danny_crypton
x.com/Danny_Crypton/…