Varish | DXB Care

"AI made you faster. Your brain didn't get bigger" @karpathy's recent post went viral for sharing how he uses LLMs to build personal knowledge bases. Interestingly, I've been building a more holistic version of what he described for the past few weeks. Introducing Pattrns, an AI interface crafted for deep parallel work, with a partner called Dots that just knows you and grows with you from day one. Why? A few months back, I realised I was working with so many tools / terminals / windows. AI had made me 10x faster, but to be efficient at all times required all my focus and constant attention/depth. AI was creating 100x more output daily than my brain could process, and the constant context switching and orienting myself again and again was killing me. Alsooo, why is every AI chat so linear? The entire experience of using AI was disorienting me. Another agent wasn't the solution for me but an entire interface that connected all the dots for me automatically was. So I built Pattrns. Here's what it actually is: Pattrns is a visual environment to think and do more knowledge work with AI. It keeps you oriented at all times and uses visual threads, kind of like how our brain works (think your prefrontal cortex externalised). Your research, your references, and your thoughts for all your different threads all live side by side as context for AI. The interface gives you one view with infinite depth. You can run parallel sessions across projects, drop a massive question in one thread, and switch to another one to keep working. Focus when you want depth, expand when you want the big picture. My early version was actually an infinite canvas with chat, but using it daily became a bottleneck. Infinite canvases eventually just turn into noise especially for boards that keep evolving. Then there's Dots, the ambient intelligence underneath it all. It learns your taste and decisions by watching your actions. It pays attention to what you care about, what you curate, and what you engage with (also like how much, think pagerank). Over time, it just knows you. You never have to re-explain your thinking, your taste, or your decisions ever again. It does this by auto-organizing and constantly updating your memory graph into a board ("Me") for you to look at, edit, or chat with. You are also always fully aware of what it knows. The underlying rule is simple. Organization is Dots' job, but thinking and creating is yours. So every chat just feels like you're talking to someone who already gets you. This is how it feels to use: Day one: During onboarding, you import your past AI chats (Claude / ChatGPT) and data (Apple Notes, Notion, Evernote). Dots reads through everything, starts creating your Me board with your entire memory graph, auto resolves conflicts, and just knows you from the start. Week one: You're working across three projects. You drop research into one board, brainstorm in another, execute in a third. Switch between them instantly. The AI already knows what each board is about because it sees your cards, your structure, your context. No re-explaining. You can just start chatting anywhere and it stays updated at all times. Month one: Dots knows you and has seen what you've been creating and doing. What you build on vs what you explore and move on from. It's learned your taste through your actions, not your words, relative to the different boards. When you ask it to design something, it already knows you hate rounded corners in that exact project. When you're debugging, it remembers you prefer logs over breakpoints. Every correction you make teaches it. Every card you create sharpens its understanding. The result? You stop maintaining tools and start using them. No tagging. No filing. No "I should organize this later" guilt. Conversations are JSONL you can grep, Git tracks everything. Zero lock-in. Dots understands the context as the what and the conversations that led to it as the why. And also, there's a lot more under the hood Everything stays local (your brain is a folder you own). Privacy is a mission statement, nothing is stored online. You can literally just drop your entire Obsidian vault here and watch it get organized beautifully. It's powered by Anthropic's Agent SDK, so Dots is as capable and agentic as it gets. You can bring all your MCPs, and if an API or skill doesn't exist, just dump things and ask Dots to create it. Repeat something enough and Dots suggests turning it into a skill automatically. Every chat has reply threads (like Slack) so you can drill into any thought without losing the main conversation, and a TLDR button to catch up in seconds. Who is it for? I believe there are 2 kinds of people doing major work with AI: 1. Those who want fully autonomous agents that take a prompt and do everything. OpenClaw, AI chief of staff, that whole wave. 2. Those who sit with it, plan, execute step by step so their exact taste is translated into the output. Pattrns is for the latter! You will soon even be able to use the browser extension and Pattrns MCP to bring your own context to any chat agent you use daily, so it automatically starts thinking like you. Anyway Pattrns is a product I always wanted for myself and I deeply care about this cause. My ultimate mission is to eventually have an interface that is as intuitive as paper and pen along with an ambient AI that watches you and unifies everything you do in one place, constantly organizing your context so you keep coming back to it. What would that eventually feel like? That Pinterest image you keep going back to on your browser, it'll soon be auto-organized in a space for you. The early access for the beta is going live today (Invite only. Mac only for now). Reply with what you're building right now and I'd love to send you an invite soon! PS: There was no AI ever used while crafting this entire product experience, just pen and paper. Only used AI to build it. Taste is human :')

Introducing @curatmoney: The aggregation layer for crypto cards and neobanks. I have spent the last few months deeply immersed in the gap between payments infra and the everyday consumer. What I realized is this: as an industry, we are building incredible financial rails, but we are completely failing the end user at the distribution layer. The data is staggering. The crypto card market just quietly crossed $18 billion in annualized spend. Stablecoin transaction volume hit $33 trillion in 2025. The heavyweights know exactly what is coming. @stripe just bought @Stablecoin for $1.1B, and @Mastercard acquired @BVNKFinance for up to $1.8B. @0xPolygon is all in as well for everything payments. This creates a massive tailwind for everyone building in this space. Everyone is obsessively building the supply side. Very few are building the demand side. With over 100+ neobanks and over 300+ card programs live globally, the sheer volume of options is overwhelming. Currently, ~1K new cards are registered daily across the ecosystem. How are normal users supposed to navigate the best one for themselves! The key question is whether users and companies can truly create and sustain meaningful value for each other. Right now, neither can. Users are forced to rely on sponsored listicles that go stale in weeks, or fragmented advice across X and TG, while neobanks and card companies are stuck with users who don't provide enough volume to break even on customer acquisition costs. Without a single source of truth, consumers fall into aggressive marketing traps, facing opaque fee structures and hidden staking requirements. We are leaving users unprotected. Curat solves every problem in the middle. We have been building this product for the last three months, and we are already at 60,000 lines of code. We are building for scale. This segment is battle tested in the web2 ecosystem already. A user enters our ecosystem through our card aggregation layer. (We are live right now with over 155 cards listed from over 60 providers). We offer unified discovery with granular filtering so you can actually compare cards side by side. But more importantly, we are building a massive Trust and Community Defense layer. Every card on our platform is reviewed through a manual verification process, and we give users a community portal to report grievances and hold issuers accountable. From a business perspective, we are not really a comparison tool [that's just the entry point] ;) We have built a compounding six-flywheel ecosystem driven by an xCURAT loyalty retention loop, affiliate/volume commissions, a services marketplace, premium listings + a card launchpad, affiliate AEO for LLMs, and an incident data product including a credit score for each user. Every other mature financial product category, like insurance, mortgages, and traditional credit cards, eventually develops a dominant aggregation layer. Crypto cards are next. We are building the first interaction layer for the entire market. I will dive much deeper into this vision in the coming days as our core product launches. If you like what we are building, visit @curatmoney to keep track of everything happening in this ecosystem and discover specially curated card offers.