DDude
679 posts
DDude
@d_datadude
Blockchain enthusiast Analytics Engineer helping fortune 500 and startups make sense of their data https://t.co/5Fty4hBD0r
Paraguay 가입일 Şubat 2010
1.5K 팔로잉260 팔로워
DDude 리트윗함
@elonmusk Yes, I agree you can compare Wikipedia to Grokipedia on wikithat.com powered by Grok clearly shows Grokipedia is the king
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Share Grokipedia links with your friends and family
Grokipedia is one of the most accurate sources of rich information and it's pure from bias and agenda
It's far superior than wikipedia and the information you find on Grokipedia at the top is often hidden or buried at the last to fit their agenda
Grokipedia gives you the complete picture without hidden narratives
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RT @elpeladobuero: Hey @elonmusk! Snagged wikithat.com at auction with @d_datadude and turned it into a straight-up showdown: Gr…
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DDude 리트윗함
I pay 50% tax on my earnings annually.
The United States essentially gets me to work, invent, build, invest for 3 or 4 months a year for free.
I am currently taking applications from other nations that have a more fair tax plan for its most productive citizens.
What countries should i be looking at?
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DDude 리트윗함
🚨DID MORGAN STANLEY PULL OFF THE BIGGEST CRYPTO MANIPULATION?
The sequence of Bitcoin’s October crash and January recovery looks like a planned setup, and the data supports it.
Let’s go through it 👇
1) OCTOBER 10: THE TRIGGER
On October 10, MSCI, originally a Morgan Stanley division, announced a proposal to remove Digital Asset Treasury Companies from its global indexes.
That included firms like MicroStrategy and Metaplanet, whose balance sheets hold billions worth of Bitcoin. This wasn’t a small change because MSCI indexes guide trillions of dollars in passive flows.
If those firms were removed:
• Pension funds and ETFs would be forced to sell
• Institutional exposure to Bitcoin would shrink
• Liquidity would tighten sharply
Minutes after the announcement, Bitcoin dropped nearly -$18,000, erasing more than $900 billion from crypto’s total market cap.
2) THEN THE 3-MONTH PRESSURE WINDOW.
The consultation stayed open until December 31, meaning three full months of uncertainty.
That overhang froze demand:
• Passive investors avoided exposure
• Index-linked funds risked forced selling
• Prices stayed weak
• Sentiment collapsed
During this period, Bitcoin dropped about 31%, altcoins even more.
It was the worst quarter for crypto since 2018.
3) JANUARY 1st: SUDDEN PUMP STARS
From Jan 1st, Bitcoin starts pumping without any bullish news, and in the first 5 days of 2026, Bitcoin jumped 8%, that’s a $7300 pump from $87,500 to $94,800.
No one knew why, but somehow the relentless selling stopped, and Bitcoin was printing back-to-back green candles.
These were probably insiders who knew what was coming in the next few days.
4) JANUARY 5th-6th: THE REVERSAL
Then, somehow, in 24 hours, everything flipped.
First, Morgan Stanley filed for its own spot Bitcoin, ETH, and Solana ETFs.
Then, in a few hours, MSCI announced that it would not remove the crypto-heavy companies after all.
The exact rule that caused three months of selling pressure was suddenly withdrawn the same day Morgan Stanley launched a product that benefits from a recovering market.
That’s not a coincidence.
Here’s the full sequence in order:
1. MSCI threatens index removals (October 10)
2. Crypto crashes, uncertainty lasts 3 months
3. Prices stay suppressed while institutions wait
4. Morgan Stanley files its ETF (January 5)
5. MSCI cancels the removal threat (January 6)
It’s a clear pattern:
Create pressure
accumulate at low prices
launch product
remove pressure
Make money
MSCI controls index inclusion.
Morgan Stanley controls capital distribution.
Together, they can influence how and when institutional money reaches Bitcoin.
The October crash wasn’t just market panic. It was a structural play.
Now that the overhang is gone, liquidity is returning, and the same players who engineered the pressure are positioned to profit from the rebound.
There is no official confirmation that this was coordinated, but the sequence, the timing, and who benefited raise real questions.
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@Sellingvol @x256xx I met 2 people in 6 month in São Paulo that spoke English had to learn Portuguese to get around.
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In Paraguay RN.
What a fucking Shithole.
Literally nobody speaks english.
Average IQ is like 70.
Prices in restaurants are higher than in europe while people make 500$ a month. (WTF??)
Any nomad saying Paraguay is amazing is a fucking retard.
The only positive thing about this country is that its corrupted so bought myself a bus/truck driving license for 300$.
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We replaced a $400K/year marketing team with 24 TikTok Shop AI Agents.
We built a fully automated system that repurposes, localizes, and launches winning TikTok Shop content across hundreds of creator-style accounts.
It’s so effective it feels like running Facebook ads in 2008.
- CPMs as low as $0.10
- no reliance on paid ads
- no ghost creators
- no wasted samples
- no lost time
My $300/monthly tech stack which replaced $50k+ budget:
- manus for product research and viral script ideas
- nano banana pro for images
- creatify for video
- now testing reel farm for static images + automated posting (or use VAs)
Here’s how it works:
•Each AI Agent spins up a TikTok Shop–ready profile, built to sell my products through shoppable videos.
•Agents are prompted to research the niche, scrape winning TikTok Shop videos, and rebuild them with new hooks, angles, and UGC-style visuals tailored to your brand.
•They create and post daily using my tech stack onto affiliate accounts
No touchpoints. No delays.
Just shoppable videos going live and GMV compounding every week.
Then we use an MPS (Multi-Platform Swarm) approach:
once the concept works on TikTok Shop, we deploy hundreds of AI Agents to flood the niche with variations that all drive back to your Shop.
I’m giving you access to the full stack — all 24 AI Agents, ready to plug into your TikTok Shop workflow today.
Comment “Agent” and I’ll send you everything.
(must be following)
PS – Repost for early access to the full 24-Agent TikTok Shop system.
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most people fail at digital & info products before they even start
not because of their funnel or ads... but because they picked the wrong niche
i broke down the exact research process to find high-demand, low-competition sub-niches that actually convert
like, rt + reply with "NICHE" and i'll send you the full guide (must be following so i can dm)
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One sentence that will take care of anyone who disrespects you..
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you could be making $100k/month if you knew these blackhat strategies...
there's a group doing $50M+ combined MRR that just shared 67 methods for FREE...
one prints $35k/month from a 90-minute Google Doc, another adds $60k/year by pre-checking one fucking checkbox...
same psychological exploitation frameworks that turn $7 tripwire products into $997 sales in 60 seconds while you're split-testing button colors
here's what separates $5k/month from $500k/month:
- you: "provide value," test ethical funnels for 6 months, make $5k
- them: deploy pre-checked upsells + fake scarcity timers, print $60k first month
we had to redact 7 methods from this FREE doc because they cross into actual fraud and would shut down the group that's printing $50M+ combined
follow, like & comment "PRINT" and i'll send the complete 67-method archive for 100% FREE
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