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As self-custody becomes a bigger priority in crypto, choosing the right hardware wallet matters more than ever. In a recent feature by @analyticsinme, our client @DCENTwallets is highlighted among the top 5 cold wallets in 2026. Recognised for its mobile-first approach and active on-chain utility. With users now expecting more than just storage, the hardware wallet space is evolving fast. Read the article: analyticsinsight.net/cryptocurrency…

@mrgreen Sent you a Collaboration dm sir

I’ve got Sora 2 invites. Drop a reply.

@_akhaliq Hey AK, sent you a collab dm!

good time to follow: huggingface.co/zai-org

@thatroblennon @grok Hey Rob, sent you a collab dm!

hey @grok put me in a bikini and make this image full body please

@bentossell Sent you a collab dm Ben!

so that’s what a real glass agent GUI would look like 👀

@alliekmiller Hey Allie, sent you a Collaboration dm

Yesterday, I met with Anthropic and OpenAI and Google. (Separately, of course.) And while the conversations were largely confidential, I do want to share some aggregated reflections on the day as well as general SF takeaways. ⬇️ 1) Competitive advantage as a solo practitioner really does come from taking action and finding an area with a bit of friction and doubling down. Ex: memory management right now isn’t perfect, but allocating an hour to improving that system gives you a ton of leverage over others 2) SF continues to be the number one place for AI work. I know that’s not surprising. I would put New York at a healthy second place. SF tends to be more about crazy agent experiments for the thrill of capability and discovery and NYC tends to be more about kinda crazy agent experiments to find new ways to make money. Not saying either is better. But I met several people renting two apartments to straddle these worlds. You want the frontier of SF and enterprise insights of NYC. It’s one reason I travel between them so much. 3) All AI labs want to hear more from people. All of them. What are you using it for, what do you like, what do you hate, what do you need. Users have a TON of power on the direction of these tools. Keep testing and tweeting at them!! 4) There is very clearly a third customer cohort that is bubbling and underserved. It’s not developers…it’s not the business professional basic users…it’s builders. Everyone can build now. It’s marketing and sales folks vibe coding. It’s legal folks building complex skills. It’s a finance expert building a side project. This is a really undertapped customer base. They feel the Cursors of the world are too complex and doc summarization tools of the world are too basic. 5) Not sure if it was just sample size, but far fewer people were wearing tech gear compared to when I lived in SF. Everyone was still dressed casually, but I used to see Splunk and Optimizely and Slack and VC gear everywhere. People seem more in stealth swag now. 6) We may soon have our world model moment. 7) Speed of iteration and shipping is faster than I’ve ever seen. We see the nonstop drops from Anthropic. We see that because of scale, providers can get a much faster feedback loop of products or features that aren’t hitting. A lot of 2025 was experimentation, but ever since the OpenClaw moment over the holidays, the releases from all three labs have been more concentrated on…things that sorta look and feel like OpenClaw. 8) Small teams can pull off more than ever before. Small teams are the powerhouses of innovation right now. This means that finding new ways to share knowledge, break silos, and remove duplicate work is going to be even more important. AI agents functioning as actually teammates that support an entire system is key. 9) Build more Skills. Build better Skills. 10) Misinformation on AI tools and leaks spread FAST. I’ve seen so many fake stories on these AI labs. Your company needs to actually TEST these tools on your actual use cases to know which models and tools are best and you need to not make large-scale snap decisions based on a rumor of a rumor of a rumor. We will see more volatility. Plan for it. 11) You can feel the seriousness of this moment. Even during random conversations I had in line at a cafe. Lots of folks worried about job loss and lack of meaning. 12) Mac minis were sold out ;)

@alex_prompter Hey Alex, sent you a collab dm

🚨BREAKING: Claude can turn a single prompt into a production ready web app in minutes. Here are the 5 Claude prompts that build all of it👇 (Save for later)

@dr_cintas Hey Alvaro, sent you collab dm

This is incredible. You no longer create images.. you can just build worlds

@LearnWithBishal Sent you collab dm Bishal

The future of education might look like this. A classroom where AI teachers, assistants, and peers interact in real time. Tsinghua just open-sourced OpenMAIC and it’s one of the most interesting multi-agent education systems I’ve seen. Slides. Quizzes. Simulations. Discussions. All generated automatically. 👀 Repo: github.com/THU-MAIC/OpenM…

@ai_uncovered Sent you a collab dm Theo

The design tax eats up hours in polishing slides instead of shaping ideas. Gamma cuts it out, so your time goes where it actually counts.

@JulianGoldieSEO Hey Julian, sent you a collaboration dm

@CodeByPoonam Hey Poonam, sent you a collaboration dm!

🚨BREAKING: Kimi just raised $1 billion. Again. That’s three rounds in under 90 days. The Kimi story is getting wild. $18 billion valuation. Up 4x in three months. Let that sink in. Moonshot is now: → The fastest Chinese AI company to cross $10 billion → The first Chinese LLM startup to close three consecutive rounds in under 90 days → Still raising. A fresh $1 billion round is in progress right now. This isn’t a funding story. It’s a signal. Investors aren’t just betting on Kimi. They’re betting that China’s AI race is far from over, and that Moonshot is one of the horses that finishes. While everyone’s been watching OpenAI and Anthropic, Moonshot quietly became one of the most aggressively funded AI companies on the planet.

@rowancheung Hey Rowan, sent you a collaboration dm!

This robotic hand can be 3D printed by anyone and assembled in under 8 hours. Researchers at ETH Zurich created the Orca hand, fully open-sourced with artificial bones and tendons. For context, advanced robotic hands cost over $100,000 and require constant maintenance... Orca costs under $2,000. 50x less (!) A self-calibration system maps every motor to every joint, eliminating the manual tuning that tendon-driven hands usually need. Each fingertip has built-in tactile sensors covered by silicone skin. The hand can actually feel when it touches something, giving it feedback to grip objects without crushing them or letting them slip. It can hold over 20 lbs, learn tasks by watching human demonstrations, and transfer skills trained in simulation directly to the real world. The team proved its durability by having it pick up and place a cube over 2,000 times across 7 hours with no human intervention. The full design files and source code are open source, so any robotics lab in the world can start building one today.

@ky__zo Hey Kyzo, sent you a dm!

Fluar just got acquired in an all cash, 6-figure deal I built it solo for 14 months, now it’s going to an industry leading team that can really scale it this is the second startup I’ve sold since I learned to code 3 years ago life is incredible, what a time to be alive 🫡 LFGG

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As discussions around AI disruption grow louder, some builders are looking further ahead. A recent @TechBullion article explores @justinsuntron vision for Web4.0 and the convergence of AI and blockchain infrastructure. Read the article: techbullion.com/while-wall-str…

Beyond speculation, stablecoins are starting to influence how value moves across borders. A new @hackernoon article covers this shift, with our client @osldotcom referenced in the wider conversation around digital asset infrastructure. Full piece: hackernoon.com/beyond-swift-h…