Phantom_Defi (@0xPhantomDefi)

🚨 SPACEX IS REPEATING PALANTIR IN 2020 And it could cost them a fortune. In 2020, Palantir IPO'd at $10 and exploded to $35. The media loved it. Retail couldn't stop buying it. Everyone was convinced they had found the next trillion-dollar company. Then Palantir crashed almost 80%. $35 → $7 That's where most people quit. That's also where smart money started buying. What happened next? $7 → $44+ A life-changing move. Now look at SpaceX. IPO near $150. Pump above $215. The same hype. The same headlines. The same crowd screaming that it's too late. Now $SPCX has dropped to $165. And for the first time, weak hands are starting to panic. Sound familiar? Because this is exactly how the biggest winners shake people out before the real move begins. Retail buys excitement. Institutions buy fear. Palantir did it. Amazon did it. Tesla did it. And now SpaceX is building the same setup. My accumulation zone remains: $145 → $165 My target remains: $230+ Most people won't buy there. They'll buy after the headlines return and the easy money is gone. That's how markets work. I've spent more than a decade studying market cycles and calling major tops and bottoms before the crowd sees them. This setup is one of the clearest I've seen all year. Follow and turn notifications on. I'll post the exact level where I start buying $SPCX.

A Polymarket trader spent months hunting for profitable wallets. What he found was far more valuable. A framework showing how one person could potentially run a $70k-$80k/month AI agency with less than $500 in monthly operating costs. The entire setup revolves around Kimi K2.6. Hundreds of agents running in parallel. Research. Coding. Analysis. Client work. All happening at the same time. Most agencies scale by hiring: more developers more project managers more analysts This model scales by deploying more agents. That's why the economics are completely different. Traditional agencies often lose most of their revenue to payroll and overhead. AI-native agencies can automate a huge portion of execution while keeping costs extremely low. Whether you're building SaaS, automations, lead generation systems or trading tools, the bottleneck is no longer writing code. It's finding demand. Most people still use AI as a tool. A small minority are already using it as an entire workforce.