
🎬 Content Clipper | Video Editor Turning livestreams & podcasts into engaging clips Building with @AtlasClicks | Open for gigs 📩 Portfolio 👇
CT
Joined March 2025
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TM retweeted
Binance Hack Latest With Chainalysis xitter.gq/i/broadcasts/2lgkJzQlz…
This is how it actually works.
Most people are watching the charts from home, but we’re out here ripping packs and winning live on stream.
This is the raw energy that drives the network effect when the conferences end and the real players link up.
If you aren’t at the afterparty, you’re missing the signal.
Ft: @fomohaus, @youfadedwealth, @prestonharty, @clipur, and @okx.
🤝 Paid partnership
Spoken like a true winner.
The Knicks don't stand a chance in this numerology cycle. 🏀🔥
If you think the stats matter more than the cycle, you're missing the point.
Prove me wrong. 👇
Ft: @MatrixPrime_
🤝 Paid partnership
NUMEROLOGY and ASTROLOGY
Breakdown of the #NBAFINALS
Rematch of 1999
@Spurs vs @nyknicks
For @jalenbrunson1 to lead New York to a #NBAFINALS Win
He has to do what
@kobebryant (in 2008) and @LeBronJames ( in 2014 ) couldn't do
WIN IN HIS ENEMY YEAR IN ASTROLOGY
#GG33
$200M for this? 🤡
The numbers don't lie, some players are just built for the nightlife, not for the championship.
If you're still betting on this "star" power, you're paying for the decline. 💸
What’s the actual value here? Let me know below.
Ft: @MatrixPrime_
🤝 Paid partnership
NUMEROLOGY and ASTROLOGY
Breakdown of the #NBAFINALS
Rematch of 1999
@Spurs vs @nyknicks
For @jalenbrunson1 to lead New York to a #NBAFINALS Win
He has to do what
@kobebryant (in 2008) and @LeBronJames ( in 2014 ) couldn't do
WIN IN HIS ENEMY YEAR IN ASTROLOGY
#GG33
I can not eat for days. I get really, really focused on a problem... and then I move immediately to the next one.
Tarek explains the intense, obsessive resilience it takes to build a company like @Kalshi .
In the startup world, the biggest risk isn't market conditions….it's the founders giving up.
🤝 Paid partnership
E174: Tarek Mansour - Launching the First Regulated Perps In The U.S and building the next generation of financial markets
@mansourtarek_ is the co-founder and CEO of @Kalshi, the first regulated prediction market exchange in the US, valued at $22 Billion. He grew up in Lebanon with a single mom, studied at MIT, worked at Citadel, and spent 6 years years building a company most people ignored before it finally took off. We talk about what it actually takes to not give up, why markets are better at finding truth than experts, why Kalshi is launching the first regulated Perps in the US, and how his team is building what he calls the next generation of financial markets.
Timestamps:
0:00 Intro
1:54 Urgency
3:11 Anime
4:53 Who is Tarek?
7:02 Mathematics & Certainty
9:10 Tarek's chip on the shoulder
13:33 Partnerships: @Trezor @Bitwise
15:19 Resilience
16:31 Entrepreneurship is Therapy
18:23 The startup emotional rollercoaster
22:16 Showing up for 2000 days with no results
24:45 First time Founder advantage
26:40 When Kalshi almost made it, but did not
29:54 Partnerships: @KASTxyz
31:19 Focus Inputs, Not Results
33:16 The Kalshi beginnings story
36:00 The True Innovation Of Prediction Markets
38:28 How Prediction Markets Revolutionize The Media
41:37 Prediction Markets and Hedging explained simply
44:55 Leverage In Prediction Markets
47:16 Partnerships: @JupiterExchange @ethena
48:00 Insider Trading
51:19 Insider Trading Rules enforcement: who is responsible?
55:26 How Kalshi spots Suspicious Behavior
56:59 Tarek's Honest View On Crypto
59:41 Launching the first Regulated Perps In The U.S
1:00:30 What Does Regulated Perps Mean?
1:02:22 Was Kalshi perps launch inspired by Hyperliquid?
1:03:41 Competition
1:05:58 Kalshi Endgame
1:07:06 What is Kalshi doing with the billions of $ they raised
1:08:31 Happiness and engagement
1:13:08 One Thing Tarek Should Let Go Of
1:14:18 Closing Thoughts
"You can apply the free market concept to pricing the probability of an event."
Tarek breaks down the core idea that led to the birth of @Kalshi .
Before prediction markets, traders had to use messy proxies like a basket of stocks or shorting the S&P just to express a view on real world events.
The future of information is probabilistic. Full interview with @kevinwshpod on YouTube!
🤝 Paid partnership
E174: Tarek Mansour - Launching the First Regulated Perps In The U.S and building the next generation of financial markets
@mansourtarek_ is the co-founder and CEO of @Kalshi, the first regulated prediction market exchange in the US, valued at $22 Billion. He grew up in Lebanon with a single mom, studied at MIT, worked at Citadel, and spent 6 years years building a company most people ignored before it finally took off. We talk about what it actually takes to not give up, why markets are better at finding truth than experts, why Kalshi is launching the first regulated Perps in the US, and how his team is building what he calls the next generation of financial markets.
Timestamps:
0:00 Intro
1:54 Urgency
3:11 Anime
4:53 Who is Tarek?
7:02 Mathematics & Certainty
9:10 Tarek's chip on the shoulder
13:33 Partnerships: @Trezor @Bitwise
15:19 Resilience
16:31 Entrepreneurship is Therapy
18:23 The startup emotional rollercoaster
22:16 Showing up for 2000 days with no results
24:45 First time Founder advantage
26:40 When Kalshi almost made it, but did not
29:54 Partnerships: @KASTxyz
31:19 Focus Inputs, Not Results
33:16 The Kalshi beginnings story
36:00 The True Innovation Of Prediction Markets
38:28 How Prediction Markets Revolutionize The Media
41:37 Prediction Markets and Hedging explained simply
44:55 Leverage In Prediction Markets
47:16 Partnerships: @JupiterExchange @ethena
48:00 Insider Trading
51:19 Insider Trading Rules enforcement: who is responsible?
55:26 How Kalshi spots Suspicious Behavior
56:59 Tarek's Honest View On Crypto
59:41 Launching the first Regulated Perps In The U.S
1:00:30 What Does Regulated Perps Mean?
1:02:22 Was Kalshi perps launch inspired by Hyperliquid?
1:03:41 Competition
1:05:58 Kalshi Endgame
1:07:06 What is Kalshi doing with the billions of $ they raised
1:08:31 Happiness and engagement
1:13:08 One Thing Tarek Should Let Go Of
1:14:18 Closing Thoughts
On chain revenue spiking and majors pumping.
@blknoiz06 says the bull market is finally confirmed
TM retweeted
Tired of mindless scrolling and gamified traps?
Watch how @Hamieverse was born out of a mission to rescue people from the modern entertainment hamster wheel and bring back true immersive worlds.
@MateenMohammed_ @Hamieverse
TM retweeted
Modern entertainment is optimized to numb your mind!! so @MateenMohammed_ and @Hamieverse set out to change the game.
Here's the real story behind why they're bringing back the depth and magic of the immersive worlds we grew up on.
@MateenMohammed_ @Hamieverse
TM retweeted
Entertainment shouldn't just be an endless loop of mindless scrolling.
Watch @MateenMohammed_ break down why @Hamieverse was built to respect your attention, value your time and bring back meaningful, uplifting experiences.
TM retweeted
Shouting out everyone tuning in and dropping some major alpha on the real vision and scale of @Hamieverse! 🚀
Make sure you understand the mission behind what's being built.
@MateenMohammed_ @Hamieverse
TM retweeted
i've been checking out @FungoLabs , and the way they're handling NFT reveals is pretty different.
usually, you mint an NFT and the artwork and traits are visible straight away.
FungoLabs wants to change that.
using Zama's FHE technology, the artwork and traits stay encrypted onchain until the holder chooses to reveal them.
so you don't have to show everything from day one.
i can see this working well for collections built around mystery, surprise reveals and different NFT experiences. It also gives holders more control over when their traits become public.
the technology is interesting, but what i really want to see is how FungoLabs puts it into practice.
there's room to do more with NFTs than just mint, reveal and trade.
i'll be following this one.
300M $FUNGO allocated to creators
@FungoLabs has opened its X campaign, and the entry process is pretty simple:
→ Connect your X account
→ Submit your 5 best posts about Fungo
→ Make sure they were published from Nov 1, 14:00 UTC onward
The leaderboard determines the rewards, which are distributed to your wallet at TGE.
One thing worth knowing about the project: @FungoLabs is working on encrypted NFTs on Ethereum using @zama FHE.
The idea is to keep ownership visible onchain while the NFT content stays private until the owner chooses to reveal it.
If you've been creating content around Fungo, this is a good time to get your best posts submitted.
Join here: fungolabs.org/launchpad/c/cf…
most of us have spent years trading on Ethereum without thinking those transactions would matter for anything beyond our wallet history.
that’s what makes zETH from @zerufinance worth paying attention to.
instead of starting every participant from zero, Activity Markets looks at the economic activity they’ve already contributed.
swaps, liquidity, fees and other qualifying onchain behavior can help determine who gets early access.
and there’s an important distinction here.
having a lot of transactions doesn’t automatically mean all of them count. wash trading is excluded, and participants still have to compete for Mining seats.
i like that Zeru is trying to recognize the activity behind an ecosystem rather than just whoever arrives first with the most capital.
the ranking system still has something to prove, especially when larger wallets enter the competition.
but giving old Ethereum activity a role in a new token launch is a direction i’d like to see succeed.
zaps.markets/?invite=Cu04Olw…
🤝 Paid partnership
TM retweeted
The Main Currency of the Future Isn't Bitcoin. It's the Kilowatt-Hour and the GPU-Minute.
While everyone argues about whether Bitcoin will hit $1 million, something seemingly boring is happening: money is starting to be tied not to trust, but to resources.
The AI economy doesn't need "stocks" and "deposits." It needs two things:
Computing — GPU/TPU hours, inference, memory, access to models.
Energy — electricity, capacity, cooling, network access.
And here's where it gets interesting: both can be tokenized.
Not as "energy is the new oil" from 2018 presentations. But literally: a token = the right to claim a certain amount of a resource. With proof that the resource exists, has been delivered, and hasn't been sold twice.
What this could look like:
Energy tokens. 1 token = 1 kWh with verified origin: solar, wind, gas, nuclear. Not a "green certificate on paper," but a programmable asset. An agent can buy energy an hour ahead, hedge against a price spike, or sell surplus to a neighbor.
Compute tokens. 1 token = minutes on a specific GPU cluster. Not an "Nvidia share," but access to computation. An agent pays for inference directly, without a cloud account or a card.
The "energy + compute" bundle. A data center buys energy and sells compute. A token can represent both: "a watt-hour converted into a token of a model."
Why this is relevant right now:
AI is devouring power. Grid connection queues stretch for years, and demand for GPUs isn't falling.
DePIN networks are emerging. People sell idle GPUs, disk space, solar panels — and get paid in tokens.
Agents need micropayments. A card fee kills the purchase of "5 minutes of GPU for $0.01." Stablecoins and resource tokens don't.
Energy is the only currency that can't be printed. It can only be produced, transmitted, and consumed.
What this breaks:
The price of energy becomes programmable. Not a "monthly tariff," but a 24/7 market with second-level granularity.
"Resource arbitrage" emerges. Where the sun is cheaper. Where a GPU is idle — you can sell. Where the grid is overloaded - the price rises.
The main risk isn't volatility, but oracles. If a token promises energy, who proves it actually exists? Without trusted verification, you get "paper energy 2.0."
The most interesting part: crypto may never become "money for people." It will become a settlement layer for resources: an agent buys not dollars, but 10 kWh and 5 GPU-minutes. We'll use it without noticing — the way we don't notice where the electricity in the socket comes from.
A question to ponder: if you had a wallet that stored not money, but "watt-hours" and "GPU-minutes" — what would you buy first?
TM retweeted
📖 PAGE 10
“Bitcoin taught me that the future of money shouldn't depend on who you know, where you're born, or how much power you have, but on a system where everyone has the freedom to participate.”
My Web3 journey has shown me that the greatest innovation isn't simply digital money; it's the possibility of giving more people access, ownership, and a voice in the financial system.
The next chapter should make financial opportunity more inclusive, transparent, and accessible to all.
@MEXC – at Kudenda, Nigeria
The whitepaper ended on Page 9. The next line is yours.
If you could add ONE line to the Bitcoin whitepaper, what would it say? Share a lesson, belief, or hope shaped by your Web3 journey.
🎁 Reply with your line + MEXC UID. 20 participants will share 2,009 USDT.
Let's write Page 10, together. #BitcoinWhitepaperDay #MEXC
TM retweeted
Sometimes the biggest cost of a bad decision isn't the first mistake. It's everything that happens because of it.
Imagine an AI agent managing a delivery schedule. It incorrectly marks one shipment as cancelled.
Another agent responds by releasing the warehouse reservation. A third reallocates the transport capacity. A supplier then makes a different commitment based on that updated schedule.
By the time someone discovers the original cancellation was wrong, several agreements have already changed.
Now the question is no longer just who made the first mistake.
Should the first agent be responsible for every consequence? Should each agent be judged only on the information it had at the time? And what happens when several parties acted reasonably but still ended up worse off?
I find this especially important as AI agents begin coordinating work across increasingly connected systems. A decision that looks small in isolation can affect people and businesses far beyond the original transaction.
@GenLayer addresses an important part of this challenge: resolving disputes through multiple independent AI validators that examine evidence and reach a collective verdict.
A fair process should look beyond the first visible error. It needs to understand what happened, what each party knew, and how responsibility should be assessed.
When one incorrect AI decision triggers several downstream losses, should the original decision-maker carry the responsibility, or should each affected party be evaluated separately?
#JusticeNeedsAnUpgrade
Slow. Expensive. Wrong.
It's been this way for centuries. It doesn't have to be.
#JusticeNeedsAnUpgrade




















