Stephen Clais

🖥 Blockchain Developer | 💻 Full Stack Dev|| Founder @WebgeckoLabs | 🎨 Digital NFT Artist

[Stephen Clais @AlphaLysiun]

🧵 Unmasking The Pack on #Doginals

For several weeks, I've been on a private mission investigating the Top 10 NFTs on Doginals, and what I found is shocking. CT and the crypto community has unknowingly propelled @doginaldogs to fame, but here's the truth: it's a massive scam. And it feels so sad to see a plethora of PFPS here on x rocking this collection

Join me as I reveal my investigation's disturbing details, revealing not only Doginal Dogs but also 9 other collections on #DOGINALS.
lets find out who's really an honest collection in Doginals!...

[Stephen Clais @AlphaLysiun]

i cant wait for this day

GOD is great.

[DAX @thissdax]

I used to screenshot other people’s lives thinking “that’ll be me one day”

Bro… it’s me now!.
God is too good for me to stay quiet about it.

Your dreams are valid broski, don't give up🫵

[Stephen Clais @AlphaLysiun]

The results were eye-opening.The network graph showed a tight, highly interconnected cluster centered around NTJ4X and Diough, with multiple clear wash trading loops and rapid wallet-to-wallet shuffling. Several of the 10 wallets hold massive Dosu bags (some over 7–9 trillion tokens), while others act as pure sinks and routers.High-frequency trades and circular flows were obvious {} classic signs of coordinated volume manipulation across Dosu, Doginal Maxi Biz, Mini Doge, and Dragons.This wasn’t random trading. It was systematic.

D6LH3cYLNKLfAihLeJMUq8SHRY66N8ZWy7 --- https://t.co/YQwDBSa4PG

DS126Bk2yuTou2gT2ZE9CNRBBXhxLPUdVP --- https://t.co/9vS41bpB2O

DMsuYXL5RYhtA9KuLenV7tpsBgEGPNtJ4X --- https://t.co/NFp98IV8Q8

DF9WsHniArDnatDnCc8RtFUJBz2BfUiG1r --- https://t.co/DkkmVR0nhp

D6iAYHS1Z47oWKQPdp6FWzUn9qNdGMbuTn ---https://t.co/MgAHULzRuy

DR4sBd8KBvfktFcHPg6hLcc2YNa6pAnozf --- https://t.co/5adJYPqLoV

DB4kE3Xx4L2XwTfRpxtPMRVjPrmoryDk6A ---https://t.co/MOqWm1hjkH

DGXJ9A27VTg94wFV5P5UuAUG3YRYgdgfvx ---https://t.co/sZAmZUlOvg

DJKPJZqV8aFXzZDoDFjLFuXR7P8zgDiugh --- https://t.co/mFZD3DaU85

DK7SZ3xzF2hwdezNiipEWC3FLArP2vHbxs --- https://t.co/7P3xUqXFAw

[Stephen Clais @AlphaLysiun]

On July 23rd, 2025 I was contacted here on X to do deep research on several DRC20 and NFT projects linked to one wallet: **NTJ4X** — the same one I exposed in my last thread as the center of a massive scam loop in the #Doginals ecosystem. The scope was simple: manually track every interlinked wallet connected to different token launches. One of the main requests was a Python script to analyze **Dosu** and its connected wallets. The person agreed there’s a big entity behind it all that needs watching closely. The goal: identify ALL wallets affiliated with 10 highly suspected addresses — wallets that still hold $Dosu or are clearly controlled by the same person/entity, even if the transfers are disguised as normal market trades or wallet-to-wallet shuffling. There are lots of shady networks in Doginals, but spotting the alpha wash nets is complicated. So I mapped out a strategic plan, contacted my team at @WebgeckoLabs, and we got to work: - Mine and collect every single $Dosu transaction from launch day to today - Run Python scripts to map interconnections on the wallet graph - Check centralized exchange deposits from the key wallets This is how I pulled one of the deepest #Doginals investigations yet. Thread continues 👇

[Stephen Clais @AlphaLysiun]

DOSU HOLDERS -https://t.co/wZiSdNBN2m

DOSU ACTIVITY- https://t.co/eEgbperUb1

With the full dataset in hand — all transactions for the 10 wallets, the complete Dosu history, and the full holder list I built a directed network graph using Python + NetworkX.I mapped every transfer, highlighted DOSU-specific flows in red, and calculated degrees + betweenness centrality to identify the real hubs.The graph immediately revealed tight clusters and circular patterns.Then came the most important part: detecting wash trading loops and high-frequency shuffling between connected wallets.Thread continues 👇

[Stephen Clais @AlphaLysiun]

@VieAstrale never said i was done with my thread... i paused it
had to focus on a project.

[Stephen Clais @AlphaLysiun]

Its amazing that this used to be my prayer

[100x’arc🏌️‍♂️ @nba01p_arc]

God please send me $100k USDT

[Stephen Clais @AlphaLysiun]

@_Z3r0wTraders @Dagobertonius @stablekwon @cz_binance cmon freedokwon

are u guys fo real

just few months ago the whole tl were for adding more years to his sentence

[Stephen Clais @AlphaLysiun]

this

[0xMarioNawfal @RoundtableSpace]

YOU CAN MAKE $500 A DAY WITH A LAPTOP WIFI AND THE RIGHT CLAUDE PROMPTS

[Stephen Clais @AlphaLysiun]

@CorinneBernett hw about d treadmill..

[Stephen Clais @AlphaLysiun]

@kylegawley depends on whos behind the screen

[Stephen Clais @AlphaLysiun]

This is for future me
"ONLY GOD WAS THERE..."

[Stephen Clais @AlphaLysiun]

A moving man will one day meet his luck. The road favours a traveller.

[Stephen Clais @AlphaLysiun]

Yeah, I actually agree with him and not in a loud or defensive way. It’s more like… if you’ve really used these tools in real work, you eventually see what he’s talking about.

AI is useful. No doubt about it. It speeds things up, helps you move faster, and can take care of a lot of repetitive work. But once you go beyond experimenting and start building real products people depend on, you notice something else pretty quickly.

It’s fast… but it’s not careful.

You still have to review everything. You still have to think through decisions. You still have to clean things up. And if you don’t, the codebase slowly becomes something you don’t fully trust anymore.

That line about it being like a junior dev you have to watch closely that’s honestly spot on. It gets things done, but it doesn’t understand consequences the way you do.

And that’s where a lot of the hype feels disconnected from reality.

People keep focusing on how fast code can be written now. But after a certain point, speed isn’t the real bottleneck. It’s judgment. It’s clarity. It’s knowing what to build, what to simplify, and what to leave alone.

If anything, AI just exposed that.

That’s actually why I wrote The Vibe Coder, which is now live on Amazon. Not to argue against AI, but to talk about what happens when coding becomes easyand thinking becomes the real work.

Because once generation is no longer the hard part, you’re left with better questions:

Are you making good decisions?
Do you understand the trade-offs?
Are you taking ownership of what gets shipped?
Or are you just moving fast because the tools let you?
I think that’s the part a lot of people are skipping right now.

AI didn’t replace developers. It just made it obvious that typing was never the hardest part.

The vibe coder- https://t.co/dwRDOLcvTx

[Stephen Clais @AlphaLysiun]

Yeah, I actually agree with him and not in a loud or defensive way. It’s more like… if you’ve really used these tools in real work, you eventually see what he’s talking about.

AI is useful. No doubt about it. It speeds things up, helps you move faster, and can take care of a lot of repetitive work. But once you go beyond experimenting and start building real products people depend on, you notice something else pretty quickly.

It’s fast… but it’s not careful.

You still have to review everything. You still have to think through decisions. You still have to clean things up. And if you don’t, the codebase slowly becomes something you don’t fully trust anymore.

That line about it being like a junior dev you have to watch closely that’s honestly spot on. It gets things done, but it doesn’t understand consequences the way you do.

And that’s where a lot of the hype feels disconnected from reality.

People keep focusing on how fast code can be written now. But after a certain point, speed isn’t the real bottleneck. It’s judgment. It’s clarity. It’s knowing what to build, what to simplify, and what to leave alone.

If anything, AI just exposed that.

That’s actually why I wrote The Vibe Coder, which is now live on Amazon. Not to argue against AI, but to talk about what happens when coding becomes easyand thinking becomes the real work.

Because once generation is no longer the hard part, you’re left with better questions:

Are you making good decisions?
Do you understand the trade-offs?
Are you taking ownership of what gets shipped?
Or are you just moving fast because the tools let you?
I think that’s the part a lot of people are skipping right now.

AI didn’t replace developers. It just made it obvious that typing was never the hardest part.

The vibe coder- https://t.co/dwRDOLcvTx

[Alex Becker 🍊🏆🥇 @ZssBecker]

I vibe code every day. I have a team of 30+ engineers. We spend F tons of credits.

And I will tell you this about AI from my experience.

It’s being wildly over hyped.

Everyone is drunk. Fucking drunk. All the CEOs and Gen Z’s saying coding is dead are idiots. IDIOTS.

[Stephen Clais @AlphaLysiun]

This is one of the most honest takes I’ve seen.

AI is insanely useful, but the “coding is dead” narrative feels way off when you’re actually building real products. Speed isn’t the problem anymore—judgment is.

I recently wrote about this in The Vibe Coder (now live on Amazon). It’s really about what happens when code becomes easy… and how the real work shifts to thinking, decision-making, and ownership.

Curious how others are handling the tech debt side of all this.

https://t.co/dwRDOLcvTx

[Stephen Clais @AlphaLysiun]

Route is simple, I built a multichain dex, on Ethereum, Polygon and BNB chain.... swapped pol to pol usdt, and Eth to USDT eth...

[Stephen Clais @AlphaLysiun]

On July 23rd, 2025 I was contacted here on X to do deep research on several DRC20 and NFT projects linked to one wallet: **NTJ4X** — the same one I exposed in my last thread as the center of a massive scam loop in the #Doginals ecosystem. The scope was simple: manually track every interlinked wallet connected to different token launches. One of the main requests was a Python script to analyze **Dosu** and its connected wallets. The person agreed there’s a big entity behind it all that needs watching closely. The goal: identify ALL wallets affiliated with 10 highly suspected addresses — wallets that still hold $Dosu or are clearly controlled by the same person/entity, even if the transfers are disguised as normal market trades or wallet-to-wallet shuffling. There are lots of shady networks in Doginals, but spotting the alpha wash nets is complicated. So I mapped out a strategic plan, contacted my team at @WebgeckoLabs, and we got to work: - Mine and collect every single $Dosu transaction from launch day to today - Run Python scripts to map interconnections on the wallet graph - Check centralized exchange deposits from the key wallets This is how I pulled one of the deepest #Doginals investigations yet. Thread continues 👇

[Stephen Clais @AlphaLysiun]

Step 1: Data Mining
The contact gave me the exact 10 wallets to start with (including NTJ4X and Diough). I went straight to DoggyMarket explorer and pulled every transaction for those 10 wallets from day one. Then I expanded the scope: scraped the entire Dosu transaction history from launch until the present date. I cross-referenced everything with activity in Doginal Maxi Biz, Mini Doge, and Doginal Dragons to spot hidden patterns and connections. Finally, I extracted the full list of Dosu holders with their addresses and exact balances. This gave me the complete dataset I needed to start mapping the network. Thread continues 👇

[Stephen Clais @AlphaLysiun]

a lot of things but God's got me