exwallstreet

I love building in prediction markets, a market that doesn’t have bull or bear seasons. No hype. No panic. Just pure execution. It forces me to think long-term, to build products that actually make sense, not ones chasing trends. And I’m not afraid to spend all my money building this product, even if it means losing it. I’m not afraid of losing users, because this market will never disappear, and people who are interested in prediction markets will always increase soon. I believe in 2026 my product will have 50K+ users.

People keep asking me in the DMs, and honestly, I’m getting tired of reading the same questions about Pricediction. As I said in my pinned tweet, Pricediction is a long journey. (I hope you’ve read it and understood it) The errors I keep facing feel endless, and this project is becoming more difficult with each passing day. I’ve also spent a significant amount of money just to test everything on my own. I don’t want to sacrifice time with my family or my real-life business only to build a product that ends up meaningless. If I’m going to pour my energy, focus, and pieces of my life into this, then the result must genuinely help people. It has to be something real, something valuable, something worth every effort behind it. So if you’re asking me wen launch, the truth is: I don’t even know when this product will go live. This is a long-term game, and I’m fine with that, because I believe the market will never disappear. 🫡

Does Trump not realize the burden lands on the US? Sure, it sounds massive, but it’s economically impossible and insanely inflationary. Tariffs aren’t some magic tax on foreign countries. They’re a tax on Americans buying American goods made with global supply chains. This isn’t a tax-cut revolution. It’s an inflation grenade and it explodes in the hands of U.S. consumers. Trump cuts income tax → Needs revenue replacement → Raises tariffs → Tariffs make imports expensive → Americans pay higher prices → Inflation rises → Government spending pressure increases → Needs even more revenue → Raises tariffs again → Prices rise again

People asking: "Why build another L1 (@monad $MON? @solana is already fast" The answer is simple: because @solana it’s not @ethereum, retard! So no matter how fast Solana is, it doesn’t solve Ethereum’s problems. Even L2s cannot solve Ethereum’s core bottleneck. They cannot: - increase Ethereum’s blockspace - speed up Ethereum’s finality - parallelize the EVM - upgrade Ethereum’s execution layer - remove Ethereum’s 15–30 TPS ceiling @monad is rebuilding the execution layer from scratch. Yeah, Layer 1! There are already thousands of projects running on Ethereum. (DeFi, NFTs, stablecoins, rollups, DA layers, tooling, infrastructure). The entire industry is built around the EVM. You can’t ask every team to rewrite: + their contracts + their tooling + their indexing + their infra + their entire architecture just to move to a chain with better performance. Ethereum’s ecosystem is simply too big. It needs performance inside its own language and tooling, not outside it.

ChatGPT for Prediction Markets - Identifies opportunity gaps across @Kalshi & @Polymarket - Lets you ask about any market - Categorizes markets based on your prompt - Finds similar or related markets - Suggests mention markets outcome with deep research There are actually many more use cases we want to show you in the video, but it would take way too long to fit them all in.

@calledxL 😁

@exwallstreet he like me fr except I'm also in the comments lmao

Crazy how the top tier guy never show up in the comments and they just slide into your DMs quietly.

@BigSlimeBoi @pricediction 😭😭

@exwallstreet @pricediction Or the short lived quantum computing meta 🤣

Everyone on the timeline keeps talking about Privacy, Neobanks, and whatever else is trending. But the 7-day numbers tell a different story. DefAI is back on top last 24 hours. It peaked in January, faded, and now it’s leading again. Over the past week, the only narratives showing strength are: DeSci, DefAI, and Prediction Markets. Sources: dexu.ai/narratives

Bro mine is faster than you 🤣

Imagine having an AI assistant that updates you on every Trump post exactly how you want, so you don’t even have to see the nonsense ones. Trump can drop AI slop at 3AM or write a whole boomer-Facebook essay, and the AI just filters it so you only get what actually matters. Mobile responsive is good tho and it works well.

Before I sleep, I’m curious how the Trump post updates work. Let’s see again tomorrow, hopefully it works well. *prompt Please monitor and update Trump’s posts on Truth Social, and respond in this format: - Headline (short, starting with “TRUMP SAID”) - Summary of what he’s posting - Impact on risk assets, rate it from very bearish to bullish. If the post has no market relevance, simply state: “no meaningful impact.”

BTC $90,000

BITCOIN BROKE ABOVE $90,000

@calledxL @pricediction 🚢

@exwallstreet @pricediction Bring the updates

Starting tomorrow through the end of the week, @pricediction will be dropping videos that are genuinely mind-blowing (at least to me, they are insanely mind-blowing). + ChatGPT for Prediction Markets + ChatGPT for Crypto + ChatGPT for Stocks And we’re only just getting started. There’s still a lot to improve, but we start with something that will make your jaw hits the ground so hard!

@mbelloneh1 @pricediction big week

@exwallstreet @pricediction Keep updating.... 🫡

Sneak peek! Are you ready?!

@HuobyW agree!

@exwallstreet Exactly right. Trust is earned incrementally in finance. An assistant that enhances decision-making while preserving user control bridges that gap perfectly 🎯

There’s an adoption gap in this space. Retail users aren’t ready to hand over full control to a trading agent yet. A trading assistant fits where the retail market is today: clear, collaborative, and predictable. You stay in charge. It accelerates you, not replaces you. A trading agent asks for a level of trust the retail market hasn’t built yet. Full autonomy sounds exciting, but most users are still figuring out the basics of AI-driven execution, moreover let alone letting an agent run everything. That’s why I still prefer the trading assistant model right now: it matches retail behavior, it reduces friction, and it lets people learn before they let go. Institutions will adopt agents faster, they value speed and automation. Retail will take time. The agent era will come, but not before the mindset catches up.

This week should make it clear to any VC how @pricediction ought to be valued. A million dollar isn't cool