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Founders: We made this way easier today. Claude can now find investors for your startup in under 30 seconds. You can enable it right now by pasting ONE link into Claude. We ran out of spots yesterday, so we just opened another 50 for today. Inside Claude: Settings → Connectors → Add Custom Connector Paste: That’s it. Now Claude can use Super Carl to: • scan 1B+ people profiles • search 50M+ companies • analyze real-time signals • understand your network • and find investors you can actually reach Not random investors. Investors where: • you know someone directly • someone can intro you • they invest in companies like yours • they’re actively deploying • and they’re likely to respond This is the important part: Claude doesn’t just search. It reasons. So you can ask: “Find me the best seed investors for my AI startup that I can realistically reach through my network.” And Claude will rank them by: • fit • reachability • intro paths • and likelihood of response As a founder who has raised venture money for 4 startups… …I genuinely wish I had this years ago. Honestly, this feels like one of those “the future arrived quietly” moments. We ran out yesterday, so we just enabled another 50 people to try it. To test it: Claude → Settings → Connectors → Add Custom Connector Paste: If you connect it, reply with what you asked Claude to find.

Stop testing and rewriting prompts manually! Most teams run evals, look at failures, guess what's wrong, rewrite the prompt, then repeat. It's slow and you never know if your rewrite actually fixes the root issue. The better way is evolutionary optimization. Instead of manual rewrites, you use genetic algorithms to analyze eval feedback and rewrite prompts automatically. The algorithm maintains diverse prompt candidates that excel at different problem types, not just one "best" version. DeepEval does this using GEPA - Genetic Evolution with Pareto Selection. You provide a prompt template, test cases, and metrics to optimize for. The optimizer handles the rest. Here's how it works: It splits your test cases into validation and feedback sets. The validation set scores every prompt fairly. The feedback set provides training signals for mutations. Then it starts evolving. It selects a parent prompt, runs it on a minibatch of test cases, collects metric feedback on what failed, and uses an LLM to rewrite the prompt addressing those issues. If the rewritten prompt scores better, it gets added to the candidate pool. After several iterations, it returns the highest-scoring prompt. Key capabilities: • Works with 50+ built-in metrics - answer relevancy, hallucination, bias, task completion, and more. • Supports multi-objective optimization - optimize for multiple metrics simultaneously without forcing tradeoffs. • Configurable iterations and minibatch sizes - control search thoroughness and compute cost. The best part? It's 100% open source. Link to DeepEval in the comments!

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MrBeast just gave one of the strongest endorsements possible for Starlink: “I will only book flights exclusively on planes with Starlink. I don’t care if it means an extra layover - I’ll sit in the back of the plane if it gives me Starlink.” He says Starlink has become the backbone of his global productions and travels because it works in places where traditional internet simply doesn’t exist: • Filming in Antarctica - one of the only reliable ways to stay connected • Building wells deep in rural Africa with full internet access hours away from cities • Driving through remote villages and open fields with a Starlink dish mounted on the vehicle while maintaining signal the entire time He described it as: “Starlink is literally magic. It makes no sense.” Now people are actively choosing flights based on whether the plane has Starlink onboard

Gm, Unis. I’ve been deep in the product every day, making a thousand small changes, testing details, and trying to build something that can actually survive after launch - not something that looks clean on mint day and disappears by week two. Here’s the part most people avoid saying: NFT projects usually don’t die because the art is bad. They die because there is no system behind them. No traffic engine, no content flow, no way to keep attention moving once the first wave is gone. Founders burn out, hire people they can’t really manage, and slowly the community goes silent. That is the problem we are building around. The LMM behind UniPix is designed to support the operational layer of a project: traffic, audience conversion, X presence, WL/GTD analysis, community signals, and the daily routine work that usually drains founders. It helps us see patterns earlier, understand who brings real value, and avoid building around people who are only here to extract and leave. UniPix is not just a collection you mint and forget. It is access to a system that keeps working after launch day. The model gets sharper with use. The product keeps moving. And I think the next cycle will make this obvious: the projects still alive months after mint won’t just be the ones with the loudest launch. They’ll be the ones with a real system behind them. That is what UniPix is building.

Claude has a new superpower. It can now find investors for your startup. Yes, I built this. But I’ve also raised venture money for 4 startups of my own. And honestly… I wish I had this years ago. The hardest part of fundraising isn’t just finding investors. It’s figuring out: • who actually invests in companies like yours • who’s actively deploying right now • who’s most likely to care • and most importantly… how you can actually reach them So I connected Claude to Super Carl. Now Claude can use Super Carl to scan the world: • 1B+ people profiles • 50M+ companies • real-time signals • and your own network + relationships Here’s the magic: Claude doesn’t just find investors. It finds the best investors for YOU. Then it shows: • who you know directly • who can intro you • who’s one degree away • why they’re a fit • and why they might actually respond I tried it myself: “I'm raising a pre-seed. Find the best investors for me and show me the warmest paths to reach them.” 30 seconds later, I had a ranked list of investors and the exact paths to contact them. Honestly, it feels like magic. Setup takes about 2 minutes. We’re only letting the first 50 people skip the waitlist and try it right now. Skip the waitlist here:

President Donald Trump and Xi Jinping are meeting in Beijing to discuss the Iran war, Taiwan and artificial intelligence, but the biggest takeaway may simply be that the summit is happening at all, CBS News' @annaschecter reports. While the talks could shape long-term issues like manufacturing jobs, tariffs and Chinese investment in the U.S., experts say there may be little immediate impact for everyday Americans beyond the broader signal that the two rival powers are trying to stabilize relations.

President Trump will be joined by more than a dozen top U.S. business executives during his trip to China, including Elon Musk, Larry Fink and Tim Cook. CBS News contributor Patrick McGee, author of the book, “Apple in China: The Capture of the World's Greatest Company,” says the lineup signals the summit is meant to focus on trade and investment, not "Cold War issues."