We sat down to talk about everything Dexstock. Why we started building it, what we've learned so far, where tokenised stocks are heading and what we're planning next. Our first Dexstock podcast is now live.

Here is everything you need to know about the Dexstock Leaderboard 👇 -> All-Time Leaderboard: Compete for our upcoming airdrop, currently valued at around $100K, and potentially even more, as we plan to increase the allocation. -> 24H Race: Stay active on Dexstock every day for the chance to win a tokenised stock for free. All you need to do is buy or sell tokenised stocks through Dexstock — with zero fees from our side. We're currently at just $37K in total volume, so it’s still extremely early. You still have the opportunity to become one of the top contributors on Dexstock before things really take off. If you have ideas what we should improve, please just drop it in the comments.

🚨 Meet the Founders Behind DEXSTOCK (Part 2) Introducing @AMayer5751, Co-Founder of Dexstock and the technical genius behind our platform. Andreas studied at the University of Liechtenstein, where he met Professor Leo and began working at his previous company and fund, Alpora AG. He later joined forces with Amil at Invenum, where they helped companies identify promising technologies, conduct innovation research, and explore emerging opportunities. During this time, Andreas built a strong technical background and gained extensive experience in turning new technologies into real-world applications. He later became part of Leoono, where Andreas and Amil continued working together at the intersection of technology and financial markets. When we saw the opportunity emerging around Robinhood Chain and the broader tokenisation of stocks, we simply couldn’t resist building something together. Today, Andreas is the technical mastermind behind Dexstock, turning our ideas into actual products and building the infrastructure that powers the platform. Our goal is simple: build the best platform for the next generation of tokenised markets. P.S. In his free time, Andreas loves spending time in the mountains with his fiancée or playing LoL.

This are the top 3 projects on fomo in the last 72 hours We are tracking the best traders on fomo and see when they enter promising projects. If you'd have bought the tokens when we received the first signal, you'd be between 2 - 145x in profit. Try out dexstock and our free fomo tracker to identify the next big runners before retail finds out. See below how it works and how to use it

Today, the Fed will make its next interest rate decision. Polymarket currently puts the probability of a rate hike above 90%. If a hike comes, we could see increased volatility across crypto and tech stocks. Crypto could be particularly sensitive, especially with the CLARITY Act still unresolved. That makes it even more important to understand how different strategies perform during volatile market conditions. This is exactly why we built our tools at Dexstock. Backtesting: Test different strategies in seconds and see how they would have performed during similar market environments. Fomo Analytics: If you’re trading meme tokens, track top traders, their entries, and emerging patterns across Fomo. Markets can change quickly. Instead of guessing, test your strategy against the data.

The AI slowdown panic is massively overblown People are worried AI stocks could sell off because Anthropic, OpenAI, xAI and others are discussing the risks of AGI and the possibility that frontier development needs to slow down. We assign essentially 0% probability that the AI race meaningfully slows down. Here's why: 1. No frontier lab wants to give up its lead. OpenAI will not voluntarily hand the advantage to Gemini, xAI, Meta or Anthropic. And every company has an incentive to support regulation that constrains its competitors more than itself. OpenAI benefits from higher barriers to entry. xAI benefits from anything that gives it time to close the gap. A lot of what gets presented as “AI safety regulation” can therefore also function as regulatory capture. 2. The US cannot afford to meaningfully slow down while China keeps advancing. AI is becoming a national-security issue. If the US voluntarily slowed frontier development while China continued pushing ahead, it could create one of the biggest technological and strategic disadvantages imaginable. The incentives are simply too strong. 3. China isn't going to stop either. This is the fundamental game theory of the AI race. US slows → China gains. China slows → US gains. OpenAI slows → competitors gain. xAI slows → OpenAI/Gemini gain. Everyone knows this. So even if we eventually see public agreements, restrictions or dramatic statements about slowing AI development, I would distinguish the political theater from the underlying capital allocation. Follow the money. Companies are fighting over power, GPUs, networking equipment, HBM, memory and data-center capacity years into the future. $NVDA $AVGO $MU $TSM If the industry genuinely believed frontier AI development was about to stop, we wouldn't be seeing companies fighting to secure the infrastructure required to scale it. Short-term fear can move stocks. But unless the actual capex, orders, contracts and forward guidance start deteriorating, the fundamental AI buildout thesis hasn't changed.