Freeport Markets

actually 78m now 👀🤑

@FaZeApex @ycombinator What? Twin!!!!

Have spent all of 2026 building something new post-FaZe. Excited to join @ycombinator this summer as I continue on this next chapter. Ten years ago I was 20, moving out of the FaZe House in New York to our new place in Newport Beach. This week I turned 30, and I’m feeling the same excitement here in SF that I felt in 2016. Excited to share more soon 🙏🏻

$CBRS just posted its first quarter as a public company. Revenue beat, and the loss came in smaller than people feared. Revenue: $193.4M vs about $181M expected. Net loss: $14 million, down from $23.9 million a year ago. On a core basis the loss was just $2.5 million. But if you're trading off the beat, you're watching the wrong line. The revenue beat is about 7%. Fine, but small. This stock isn't priced on beating by a few percent. Cerebras is worth around $50 billion on roughly $604 million of sales over the past year. That's about $82 for every $1 of yearly sales. A price like that only works if growth stays fast for years. So the whole game is the growth rate, not whether they nudged past one estimate. So look at the part most people skip. A year ago they did $99.5 million in a quarter. This quarter it's $193.4 million. That's up 94% in twelve months, nearly a double. And the loss is shrinking while sales climb. That speed is the story, not the red ink. What it means: they're spending hard to take the AI chip market while it's open, and they're choosing growth over profit on purpose. Out of every dollar of sales they keep about 47 cents after build cost, and the higher-margin cloud business is growing much faster than hardware. That's the part that says the model can work at scale. Now the catch, and it's the real one. Guidance calls for full-year core revenue of $855 to $865 million, about 69% growth at the midpoint. Strong, but slower than the 94% they just printed. Growth is already bending down, and at $82 per dollar of sales you're paying for speed. They also announced a deal with OpenAI worth more than $20 billion for 750 megawatts of compute. Huge number. But a lot of Cerebras's money already comes from a small set of very big customers, so a giant new whale deepens that concentration as much as it proves demand. If one large contract slips, the story cracks fast, and at this valuation there's no cushion. Here's the tell. Revenue beat, loss narrowed, and they landed OpenAI. The stock still fell about 8% after hours. That's the market saying a double beat plus a $20 billion headline isn't enough at this price. The growth is real. The losses are a choice while they land grab, not a stumble. But the price now demands the growth stay near vertical, and guidance already says it's bending. That's the signal. Everything else is noise.

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The U.S. just announced $17.5B in conditional loans for nuclear power. This is bigger than just “more clean energy.” AI data centers, EVs, factories, and grid upgrades all need reliable electricity. Solar and wind help, but they are not always on. Natural gas is reliable, but still faces emissions pressure. That is why nuclear is getting attention again. The key detail: these are conditional loans, not guaranteed cash. But it shows the government is trying to reduce the financing risk for new nuclear projects. For investors, this could be a major signal. If the U.S. is serious about building more nuclear capacity, the winners may not just be utilities. It could also impact uranium, reactor technology, engineering firms, construction, and the broader power infrastructure trade. Energy demand is becoming one of the biggest AI bottlenecks. Nuclear may be moving from “too slow to matter” to “too important to ignore.”

Intruigued seeing a trading app in @freeportmarkets where i can trade tokens on stocks easily and love it have swap feature i can easily swap tokens too, hoping to see a stake feature added soon especially for stables too but good tek which i cant wait to explore further...

The first episode of Professional Punters with Evan Semet (@evan_semet) is now live. Evan is a prediction-market trader and quant who left a traditional trading seat to trade Kalshi and Polymarket full time, and ended up building one of the more impressive solo prediction-market operations I’ve seen. Before being recruited by a major market maker to run their prediction-markets operation, he was market-making 15-minute crypto binaries, doing roughly $10–12k/day, with per-coin Sharpes in the 30–50 range and aggregate Sharpes even higher. Annualized, that is a seven-figure trading operation being run by one person with his own modeling and execution stack. What makes the story interesting is that the edge was not just “prediction markets are inefficient.” Evan was competing in places where traditional firms were either too slow, too constrained, or not paying close enough attention. He built better predictive models for specific markets than much larger trading firms, understood the microstructure, read toxic flow, and found where weird rulebooks created real mispricings. Among other topics, we cover: Kalshi vs. Polymarket election arb 15-minute BTC binaries AI leaderboard markets Election-result inefficiencies Toxic flow and end-of-market microstructure UMA/oracle disputes & Resolution risk Why some “free money” trades are not actually free money This was exactly the kind of episode I wanted to start the show with: a real trader explaining real edge, with actual numbers, actual losses, and actual market structure. Watch on YouTube: lnkd.in/ekXFYCW5 Listen on Spotify: lnkd.in/eEphYGhp More Freeport research: lnkd.in/e3tznxTU

POV: that one coworker

Perpetual futures’ unique funding mechanism and lack of expiry have made the product popular offshore, where limited regulations apply. Under my chairmanship, the @CFTC is bringing perpetuals onshore under a robust regulatory framework. More form my conversation on @CNBCFastMoney 👇

POV: your boss thinks you’re Chinese

The third-party attestation report for SpaceX PreStocks is now available. The report verifies the token supply and confirms that all minted tokens are fully backed. ✅ You can find it under 'Transparency' on the SpaceX page: prestocks.com/spacex

POV: you got a bid from a YC startup

Freeport Markets (@freeportmarkets) gives retail traders buy/sell signals as breaking news happens, allowing users to trade ahead of price moves. With $60M traded and growing 50% month-over-month, it's clear that a new generation of traders is adopting the tools once reserved for Wall Street. Congrats on the launch @Bryan__Reed and @Lihong062. alliance.xyz/launches/freep…

Get exposure to SpaceX, Ant, and OpenAI on Freeport Markets

POV: your bosses won’t stop babying the interns

@Nifaribs where da cash flow

@freeportmarkets Intern is not bullish? 👀 Longing here

SpaceX priced at $135 and ran to $169 in the first session, a 25% pop. But day-one moves are about demand and float, not the business. Only a slice of shares trades at first, so thin supply plus heavy attention plus retail FOMO pushes price past where fundamentals sit. And the valuation got worse, not better. At $169 the company trades around 120x sales, up from 95x at IPO, and it lost $4.9B last year. The stock got more expensive today. The business didn't change. The real catalyst is still ahead. In about two weeks SpaceX joins the Nasdaq-100, forcing every QQQ fund to buy it regardless of price. That's an estimated $22 to $27B of mechanical demand in early July, and it's what institutions are positioned for. Watch the gap until then. Day-one buyers are momentum, index buyers are forced, and the risk is the first group exits before the second arrives. Then watch the lockup later: when insiders can finally sell, new supply meets the same demand and pressures price. History sets the frame. IPOs average a 24% first-day pop but only an 11% three-year return. The fireworks and the hold are two different trades. So read it in layers. Short term is flow, medium term is the index bid, long term is valuation and supply. They don't point the same direction, which is why you see "pop" and "overvalued" in the same hour. That's the signal. Everything else is noise.

Elon: I've got a fucking IPO tomorrow bro. Cut this war shit out. We've got midterms in a few months Trump: alright bet

@HighyieldHarry just buy it now on leverage lol

What the hell