What if this time you found the next BLUECHIP, first!

The Bluechip tier list feature is the perfect marketing for good communities. You can shill your coin while supporting others indirectly. You can show commitment to your community by claiming the project. You can show progression (not limited to MC) by going from one tier to the next. We know DEX, trending lists, pf articles, and so on don't reward communities, they reward price action. Here's the chance for us to change this. If you're truly about the space and not just your project then this is the way. Tier list post, captions about your coin and yet other good communities get exposure. It costs you ZERO and you can help the space heal

How’s our meme tier list looking so far? Upvote, downvote, or add your coin and back it up. bluechipsai.com/memefi

Winning starts with conviction.

While everyone calls the top, here's the part nobody's pricing: some of the "AI bubble" trades at 11x earnings. Cheapest AI hardware by forward P/E: $MU ~11x (EPS 200%, 0.2x PEG) $QCOM ~14x (below peers) $NVDA ~24x (de-rated) $TSM ~24x (~70% foundry share) $AVGO ~41x (the pricey one) The trap: $INTC looks cheap at ~$99 a share but trades ~110x trailing. low price =/= low P/E. 2000's cheap names had no earnings. 2026's cheapest is growing them 200% . opposite of a bubble. Catch: memory's cyclical, Goldman's cautious into MU's Jun 24 print.

Battle-tested communities. Proven resilience. Real conviction. That's bluechip. bluechipsai.com/memefi

What’s going on here?

BREAKING: the U.S. government ordered Anthropic to pull Fable 5 and Mythos 5, its two newest models. what: a national-security export-control directive barring foreign-national access. net effect, the models go dark for all users. other Claude models unaffected. letter received 5:21pm ET. the trigger: per Axios, Commerce moved after another company showed a jailbreak of Mythos (the unrestricted, top-tier cyber model). Anthropic's rebuttal: complying but contesting, says the "jailbreak" amounted to asking the model to read code and fix bugs, that the capability exists in rival models (names GPT-5.5), and that this standard would freeze every frontier launch. calls it a misunderstanding, more in 24h. the precedent is the story: looks like the first U.S. frontier model recalled under export-control power. every lab has to price that in now.

vibe coding just put a hard number on the hype: ~$500M ARR. Lovable (the app that writes apps from a prompt) crossed it Jun 9. from $1M to $500M run-rate in ~18 months, 1M new projects a week, 50M built, $6.6B valuation. faster than almost any software company ever. the catch: it's built ON OpenAI's and Anthropic's models, and competes with Cursor, Replit, Bolt, and those same labs. it rents the intelligence it sells. the revenue is real. the moat is the question.

Every bluechip comes from a vision few believed in.

A millionaire's money buys a flight. A trillionaire's reaches Jupiter. Elon Musk just crossed $1 trillion, the first person ever. here's the scale, if every dollar were one meter you traveled: $1M = A flight (New York to Chicago) $1B = The Moon, 2.6x over $1T = Past Jupiter, deep space Each one is 1,000x the last. People hear million / billion / trillion as a list. It's actually a flight, the Moon, and another planet. That's the number one person now holds.

Houston, we have a blue candle.

Bluechip reduced the barrier to entry on the TradFi The rotation will start soon, should we take over the MemeFi space?

Congratulations to @elonmusk $SPCX

JUST IN: Elon Musk says $SPCX going public as the largest IPO ever is hard to believe after he once gave the company less than a 10% chance of success.

the Nasdaq-100 is swapping legacy for AI and space. out: Charter, Cognizant, Insmed, Verisk, Zscaler (cable, IT services, pharma, analytics, security). in: five AI space infrastructure names, effective June 22. - $NBIS 147% YTD (AI cloud) - $ALAB 105% YTD (AI data-center connectivity) - $TER 84% YTD (chip test, picks & shovels) - $RKLB 51% YTD (space) - $CRWV 21% YTD (GPU cloud) the most-tracked tech index on earth just told you where it sees the next decade, and $800B in passive funds has to follow it in.

The Council is live. Free for everyone. Ask it about any ticker or theme, and four AI agents argue it out, each built on a different, often-opposing investing lens: - The disruption-growth lens (inspired by Cathie Wood) - The valuation-discipline lens (inspired by Aswath Damodaran) - The AI-scaling lens (inspired by Leopold Aschenbrenner) - The tech-fundamentals lens (inspired by Beth Kindig) They reason over the full 45-stock index, the holdings, the trade history, the whitepapers, the interviews. Then a confluence engine boils the debate into one confluence score, with the full breakdown if you want to dig. For entertainment only. The agents are not the real investors, who have no involvement and do not endorse this. not financial advice.

Every hyped IPO tends to run the same script. SpaceX probably won't be the exception. The lifecycle: 1. IPO excitement, early buyers push it up 2. Retail buys the top, FOMO and euphoria 3. Retail sells the bottom, panic and capitulation 4. Accumulation, 1-2 boring years, strong hands build 5. Institutions enter after the breakout 6. Re-rating, new highs The engine underneath: a tiny float pops on hype, then lockups expire and supply floods. That's usually where the round trip from retail to institutions happens. It's not a law, plenty of IPOs fall and never get up. but if SpaceX rhymes, the correction is the setup, not the story. Watch the lockup, not the launch. (OpenAI and Anthropic are next.)

Jeff Bezos just took his first CEO seat since Amazon. the startup is called Prometheus, and it's already worth $41 billion. what it's building: an "artificial general engineer." AI that designs physical objects, jet engines, machines, drugs, the way LLMs generate text. Bezos calls it "a very modern version of CAD." not robotics. - ~$41B valuation, $12B Series B (today) - ~7 months old - ~150 people from OpenAI, DeepMind, Nvidia but here's the part nobody's pricing: there's no "internet of manufacturing data" to train on. so the data has to be bought. the reported plan: raise up to $100B for a fund to buy legacy industrial companies and feed their data in. the model is the pitch. the data is the moat. watch the data.