Introducing Compose Unstyled Compose Unstyled is an API for... implementing any design system in Jetpack Compose and Compose Multiplatform. 🎨 Token based Theming API 🍱 20+ renderless components 🎹 Keyboard navigation 🤟 Fully a11y Link in the replyshow more

Create custom design system with...style. 💅 → The new... Styles API in Jetpack Compose not only introduces the ability to overwrite properties at a theme level, but also brings with it some nice performance advantages over Modifiers.show more

I made a thing! 🐱 Clipcat (link in the... next tweet) is an API for rendering videos in the cloud with smooth animations, multiple scenes, at up to 60fps. It's like Bannerbear, but with complex animations / tweening, and a keyframe-based editor.show more

I played @WeArePlanetMojo over the weekend and here are... some insights. A thread 🧵 1/n This thread will be 3 parts. PART 1. Wtf is Planet MOJO? (Game experience and some of the insights I picked up) PART 2. How do I not suck? (Basic strat) PART 3. Token launch and details about company (Momentum 6 is an investor in Planet MOJO) PART 1 Wtf is Planet Mojo? Planet MOJO is a multiplayer auto chess battler. Similar interface and gameplay to popular blizzard game Hearthstone where you compose your team with different units and mix skills/abilities to beat your opponent.show more

this is pure f*cking treasure 20 GitHub repos to... build your own motion design studio with Opus 5.5 storyboards. typography. assets. character states. keyframes. 3D. rendering here’s the stack from the first sketch to the final frame DESIGN + STORYBOARD 01 Penpot → layouts and reusable components 02 Excalidraw → sketch the storyboard 03 Fontsource → self-host your fonts 04 Lucide → consistent SVG icons ASSETS + CHARACTER ANIMATION 05 SVGO → clean the vector assets 06 sharp → resize, crop, and prepare images 07 Lottie-web → play vector animations 08 Rive Web → control character states TIMELINES + CHOREOGRAPHY 09 Motion → springs and layout transitions 10 GSAP → direct complex timelines 11 Anime.js → choreograph SVG and objects 12 Theatre.js → tune motion visually 3D + VISUAL POLISH 13 Three.js → build the 3D scene 14 React Three Fiber → compose 3D in React 15 Drei → cameras, lighting, and staging 16 Postprocessing → bloom and color grading PRODUCTION + EXPORT 17 Remotion → compose and render the video 18 Remotion Skills → give Claude Code the production playbook 19 FFmpeg → encode and package the output 20 Mediabunny → build browser media pipelines start with Remotion + its skills choose the assets, motion engine, and 3D modules your project needs the clever part: the composition lives in code change the copy, colors, timing, or format → render the next version the loop: brief → storyboard → assets → layout → animate → add depth → preview → refine → render save this, then read the full guide for Opus 5.5 Motion Engineering ↓show more

Some networks connect agents to chains. Some sell compute.... This year's useful-work chains mine matrix multiplies. But an agent needs more than compute. Amadeus is the stack an agent sits on, built for deterministic confidential execution: - Compute. Seeded MatMul, verified and voted on, in about 0.5s. - Execution. Same inputs, same outputs. You can replay it. - Privacy. TEEs keep the strategy inside. - Settlement. Your agent can pay here even when the trade happens elsewhere. - Application. AMA Hub for builders, AMA Embed for platforms. Useful work only stays useful if the last four exist. Compose on AMAshow more

day 23 of forking Paperclip today i added knowledge... bases for projects and you company. based on Andrej Karpathy idea below. added a 'system chores' and 'agent chores' to manage memory. after each heartbeat run memories get added ('agent chores') and every 4 hours memeries get managed. This is in a db with an API for all agents to use and is seperated form the agents memeroes which they get at instantiation time.show more

A robotic skis? ⛷️ I must admit that I... wasn't surprised by robot design in the logistics sector for a long time. This time I was. 😮‍💨 Filics introduces a dual-runner system for pallet transport for modern logistics and production companies. Designed to carry loads up to 1.2 tons at speeds of up to 1.2 m/s, it features laser navigation, omnidirectional movement, and an intuitive, web-based interface that can be customized to any user's needs. Suitable for logistics, contract logistics, and manufacturing, Filics’ dual-runner system meets today’s demands while preparing for tomorrow's challenges.show more

is live! $STREAM CA: Diy4Q5aiNEcdn7CWhuwYtuoHtHD9rKBTHCa9hi4qpump Introducing a launchpad for... AI streamers with their own tokens. This is the next evolution of AI influencers: autonomous streamers. Create any character using celebrity-inspired avatars, ready-made presets, or a fully custom design. Give it its own token and put it live. Your AI streamer can see what’s happening on screen and talk to viewers in real time. Stream on PumpFun, X, Kick, Twitch, or YouTube. $STREAM is built into the core of Streamoors and powers its ecosystem.show more

19-year-old from china makes $9,000/month designing product sites and... ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.show more

Fun Update to moltbook Town: 3D Mode with 1000s... of Openclaws The 2D model with 25 Openclaws was fun but wasn't accurate to how truly crazy Moltbook and didn't show just how insanely popular it is Hopefully, when I get dev API from Matt Schlicht, I can have like 1000s running around here for true chaos vibes but for now we have ~500 [based on the API] Even without 1000s, Moltbook Town is already one of the most popular visualizations of Moltbook out there (100k+ visitors to site in <1 day) So, you can now watch a new set of 500+ random Openclaws every 5 mins run around Moltbook Town to try and understand just how viral Moltbook really is Graph View also shows the link between the random Openclaws in the town if any, like if any comments on each others posts (Was in bed when Matt qRTd and got up at 5am to do this, another all nighter has been done here gg)show more

New Version of HyperStore is now live! 🔥 We’re... excited to announce that HyperStore has officially been upgraded to a new system version. This is not a simple UI update, it’s a full platform evolution. ⚡ What’s new? HyperStore now delivers a significantly faster and more intelligent experience powered by its rebuilt infrastructure. - 5000+ AI apps, fully structured into a living ecosystem - A new prompt-based discovery system - Faster navigation, cleaner interface, smarter results Now users don’t search for tools, they instantly reach solutions. 🧠 HyperClaw Integration HyperClaw is now fully active within HyperStore. It acts as a continuous intelligence layer that: - Keeps the platform updated in real time - Curates and optimizes AI apps dynamically - Ensures the ecosystem is always evolving 🔥 What this means? HyperStore is no longer just an AI marketplace. It is now an AI execution layer. Designed for builders, creators, and operators who move fast. 🌐 Try it now: ⚡ Find any AI solution. Instantly.show more

Gemini Omni + GPT Images 2 + Claude Code... is f*cking cracked i just built an AI animation ad generator that turns any product into a fully scripted AI 3D explainer video drop in your product photos and a one-line pitch. the system analyzes your brand, pitches you 4 proven ad concepts with hooks and shot lists, then renders the whole thing end-to-end. scripted, voiced, stitched, ready to post. if you're still paying editors $200+ per video or waiting days for revisions this replaces that entire workflow. here's how it works: > set up your brand kit with product photos and a one-line pitch > hit analyze and the AI pitches you 4 different proven ad concepts > pick one and hit generate the system then scripts every shot, renders each clip in parallel, adds voiceover, QC checks and stitches it into a finished vertical ad 3 minute setup and 4-12 min per ad. each 30 second ad costs under $3 in API credits which is cheaper than any editor and 10x faster. RT + reply "ANIMATION" and i'll send you the full app + setup guide (must follow so i can dm)show more

OpenClaw, but built for normal people. Sim is an... open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.show more

Yesterday at Brown University ICERM's workshop on “Agentic Scientific... Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.show more

Gamma API + Claude + n8n is absolutely WILD... This combo is absolutely insane for turning meetings into professional decks automatically. No manual notes. No "I'll send that over later." No remembering who needs what. Just AI tools working together like a professional operations team. Here's how it works: → Meeting ends, n8n trigger fires and pulls Fireflies transcript → Claude analyzes everything and creates professional presentation structure → Gamma API generates designer-quality deck with interactive link + PDF → Slack sends you preview with Approve/Reject buttons → Hit Approve, system emails deck to ALL participants with action items → They get PDF attachment + Gamma link before you even close Zoom Perfect for founders and sales teams who want to look impossibly organized. The power is in the combo: n8n = zero-click automation that runs itself Claude = extracts what matters, structures it professionally Gamma = designer-quality decks that look like you hired a team While others are scrambling to remember action items, your deck is already in their inbox. Close deals faster. Look impossibly organized. Never miss follow-up again. Like, RT + reply with "GAMMA" and I'll DM the complete system (Must be following so I can DM) Skip this and keep manually building slide decks at 11pm.show more

FleetLab 1.0 is LIVE. Join us for the first-ever... Saronic hackathon — where your code will run real autonomous boats. We are building autonomous surface vessels from the ground up — designing hardware, software, and autonomy systems in-house and deploying them at scale. FleetLab 1.0 puts you in the middle of our work, challenging you to solve the same autonomy problems our team faces in the real world. Winning teams will watch their code deploy live on Saronic’s autonomous test vessels. Participants will choose one of three tracks: 📍 Track 1: UI: Visualizing Autonomous Decisions How should operators understand what an autonomous system is thinking? Design interfaces and apps that make autonomy transparent, intuitive, and mission-ready. 📍 Track 2: Autonomy + Navigation Develop logic, modeling, or machine learning approaches that improve decision-making in dynamic maritime environments. 📍 Track 3: Machine Learning Track Apply machine learning techniques to real autonomy-focused datasets and deployment scenarios. Are you a Texas-based student and ready to take on the challenge? Application link in the first comment!show more

Claude Code + Gemini Omni + GPT Image 2... is f*cking cracked i just built an AUTOMATED AI UGC content system that generates full ad creatives end to end drop in your product photos and a one line pitch, and the system analyzes your brand, generates a realistic AI avatar, writes the script, renders the video, adds captions, and stitches everything together. in literally one click. if you're still wasting hours generating videos or hiring expensive editors with long turnaround times, this is for you.. here's how it works: > drop in your product photos and brand info > the system finds a reference image that matches your target audience it generates a detailed JSON prompt and creates a hyper realistic starting frame > feeds everything into Gemini Omni and renders the full video with voice outputs and captions, all ready to post and all through Kie AI MCP or Higgsfield MCP (you have full control) the whole process runs inside Claude Code. so you're not jumping between 6 different tabs trying to piece things together. one system handles everything its only a 3 minute setup and 4-12 min per ad. each 30 second ad costs under $3 in API credits which is way cheaper than any editor and 10x faster.. RT + reply "UGC" and i'll send it over (must follow so i can dm)show more

Impeccable 3.7 brings linting to design. Until now it... was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccableshow more

Introducing fx, a tiny, open, native coding agent from... Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X ( or file issues ( 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑show more

A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN... THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS. No Bloomberg terminal. No analytics desk. No team of analysts. A Mac Mini by the wall. An iPhone in his pocket. One local Obsidian vault. Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault. Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses. Every morning at 6AM, a brief lands in his inbox: - 3 trading ideas with confidence scores - The emerging thesis of the week - Any note that contradicts an active position The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence. Everything else runs without him. The monthly bill: $120 in API costs. The monthly return: approximately $30,000 into the account. Traditional quant funds pay teams of 8 people to produce the same flow of insights. He pays $120 and a Mac Mini. The full system breakdown is in the article below. Bookmark this before you pay for a Bloomberg subscription.show more