Revolutionizing Material Efficiency with OptiSheet 2D I’ve been diving deep into computational geometry and optimization lately. I’m excited to share a sneak peek of OptiSheet 2D, a nesting algorithm designed to pack irregular pieces into a defined slab with maximum efficiency. The goal? Minimize waste and maximize resource utility. The Tech Stack: Backend: Spring Boot (Handling the heavy lifting of the packing logic). Frontend: React & Tailwind CSS (For a clean, responsive visualization). Architecture: Designed as a lightweight, stateless engine to ensure high-speed processing. Technical Note: Since the backend is powered by Spring Boot, the engine takes a moment to "warm up" about 30-60 sec during the initial request. However, once the JVM is primed, the optimization logic runs continuously and at peak performance for all subsequent tasks! ⚡ We are currently in the "stress-test" phase—running complex test cases to ensure the algorithm handles edge cases and tight tolerances. It’s a work in progress, but seeing the pieces snap into place is incredibly satisfying. Check out the demo below to see the algorithm in action. ⬇️ https://lnkd.in/gptGE8Ki #FullStackDevelopment #Java #SpringBoot #ReactJS #Algorithms #Optimization #CodingJourney #SoftwareEngineering

HeyGen just open sourced HyperFrames and the pitch is wild 🎬 They built their entire launch video in Claude Code. No After Effects, no Premiere, no timeline scrubbing. You write HTML, the framework renders MP4. That's it. What it actually does: 🎥 HTML in, MP4 out (also MOV and WebM) ⚡ Plain HTML with data attributes for timing, GSAP for animation 🧩 50+ ready blocks: shader transitions, social overlays, data viz, lower thirds 🤖 Ships with skills that register as slash commands in Claude Code (/hyperframes, /hyperframes-cli, /gsap) 🖥️ Renders locally via Puppeteer and FFmpeg, zero cloud calls 🔓 Apache 2.0, full launch video source code is on GitHub Why this matters for agent builders: video was the last creative surface agents couldn't touch. They could write, code, talk, browse, book meetings, but they couldn't actually edit a 60 second clip. That gap just closed. The part I keep thinking about is the workflow shift. You talk to the agent like a video editor. Make the title 2x bigger. Swap to dark mode. Add a fade out at 0:03. The agent handles scaffolding, animation, rendering. You iterate in natural language against a real timeline. Three commands to try it: npx hyperframes init my-video npx hyperframes preview npx hyperframes render If you care about agent tooling, this is the one to clone this weekend. #AI #ClaudeCode #OpenSource #AIAgents #VideoGeneration #HeyGen #DeveloperTools

𝗜 𝗯𝘂𝗶𝗹𝘁 𝗮 𝗠𝗶𝗻𝗲𝗰𝗿𝗮𝗳𝘁 𝘁𝗼𝘄𝗲𝗿 𝗶𝗻 𝗚𝗿𝗮𝘀𝘀𝗵𝗼𝗽𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝘃𝗶𝗯𝗲 𝗰𝗼𝗱𝗶𝗻𝗴! I’m excited to share a deep dive into 𝗦𝗰𝗿𝗶𝗽𝘁 𝗠𝗼𝗱𝗲 of 𝗔𝗻𝘁. One of the biggest hurdles for many designers is moving from visual programming to actual scripting (C# / Python). Ant changes that. By integrating LLMs directly into the Grasshopper canvas, you can now: ✅ Generate full script components via text prompts. ✅ Debug code on the fly with AI assistance. ✅ Rapidly prototype complex geometries (like this Minecraft-style tower). In this video, I go from a blank canvas to a fully parametric tower in just a couple of minutes. If you’re a Rhino/Grasshopper user, I’d love to hear your thoughts on how this could change your workflow! Watch a time-lapse below. Check out the whole video at: https://lnkd.in/dnZpVig4 Also, become a part of our growing Discord community: https://lnkd.in/dDnETacx #Python #CSharp #ParametricDesign #Architecture #Grasshopper #AI #CAD

𝗜 𝗯𝘂𝗶𝗹𝘁 𝗮 𝗠𝗶𝗻𝗲𝗰𝗿𝗮𝗳𝘁 𝘁𝗼𝘄𝗲𝗿 𝗶𝗻 𝗚𝗿𝗮𝘀𝘀𝗵𝗼𝗽𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝘃𝗶𝗯𝗲 𝗰𝗼𝗱𝗶𝗻𝗴! I’m excited to share a deep dive into 𝗦𝗰𝗿𝗶𝗽𝘁 𝗠𝗼𝗱𝗲 of 𝗔𝗻𝘁. One of the biggest hurdles for many designers is moving from visual programming to actual scripting (C# / Python). Ant changes that. By integrating LLMs directly into the Grasshopper canvas, you can now: ✅ Generate full script components via text prompts. ✅ Debug code on the fly with AI assistance. ✅ Rapidly prototype complex geometries (like this Minecraft-style tower). In this video, I go from a blank canvas to a fully parametric tower in just a couple of minutes. If you’re a Rhino/Grasshopper user, I’d love to hear your thoughts on how this could change your workflow! Watch a time-lapse below. Check out the whole video at: https://lnkd.in/dWmcgdqh Also, become a part of our growing Discord community: https://lnkd.in/dirDZ3t6 #AntforGrasshopper #Python #CSharp #ParametricDesign #Architecture #Grasshopper #AI #CAD

I burned through my entire token budget in 1 hour. On a CAD model. This morning I tested a new generative CAD setup. Claude with a custom skill from this open source project: earthtojake/text-to-cad (check out on github): ++ Uses occ + python + build123d, has a built-in web frontend for instant review ++ Generates real STEP geometry, not meshes ++ Takes screenshots of each step to validate and iterate That last part is the interesting bit: Many other one-shot approaches just generate the python code and the result is often off. This skill reiterates, it looks at its own output, checks it, and tries again. Basically: a feedback loop for CAD. The result so far is… unfinished. For simple prompts, I got 100% correct models. More complex models: not production ready, but you can see where this is going. I had to stop mid-iteration because my tokens were gone. Let’s get a coffee. I’ll continue once my budget recovers. See the intermediate result below.

A great plugin for any C4D Redshift users, super clean way of keeping on top of Object and Material ID's. No need to individually check one at a time 👌

𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗥𝗮𝘄 𝗪𝗲𝗯𝗚𝗟 You can solve a Rubik's Cube with code. No libraries, no frameworks, just you and 3000 lines of JavaScript. This project shows how to build a beginner-friendly Rubik's Cube solver from scratch. - The challenge was to implement a solver using the beginner's method. - Visualize it with raw WebGL and Canvas2D. - Do it all in two weeks. The result is a functional solver that proves foundational programming skills can tackle complex problems. This project is a reminder that sometimes, the hardest way is the most rewarding. Raw WebGL was chosen to demystify 3D rendering. It forces a deep understanding of how GPUs render 3D scenes. The beginner's method was chosen for simplicity and clarity. If you want to understand the core mechanics of a system, use raw tools. Libraries are optimal for rapid development, but they abstract away the causal chains that make systems work. Source: https://lnkd.in/gHd_XRZu

Simulating Complexity with JavaScript & KaTeX: The Race of Functions 💻 In my spare time, I love bringing mathematical concepts to life through visualization. My latest project is a "Function Race" that pits different growth rates against each other to see which one truly dominates as x approaches 50. While we often hear that the Factorial function (x!) is incredibly fast, it’s fascinating to watch x^x (Self-exponentiation) step onto the track and leave everything else in the dust. Technical Highlights of the Project: ✅ Rendering: Built with HTML5 Canvas for smooth, high-performance animations. ✅ Typography: Integrated KaTeX for high-quality, real-time LaTeX mathematical notation rendering directly over the canvas. ✅ Dynamic Sorting: Implemented a real-time easing algorithm to rearrange the bars based on their current values, creating a smooth "racing" effect. ✅ Mathematical Precision: Used Stirling’s approximation to ensure smooth growth transitions for x! across the real number line. This was a fun way to visualize why choosing the right algorithm and understanding Big O notation is so critical in software development. Polynomial growth might look manageable at first, but once you hit Exponential or Super-Exponential scales, the world changes! What’s your favorite "hidden boss" function that grows faster than people expect? Let's discuss in the comments! 👇 🔗 Explore the logic of mathematics and engineering on my YouTube channel: [https://lnkd.in/dDc4Tv5z #CreativeCoding #JavaScript #WebDevelopment #Mathematics #DataVisualization #Algorithms #BigO #STEM #SoftwareEngineering #CodingLife

Composition shouldn't be dictated by an algorithm. 🖼️ As a developer and designer, I noticed a recurring frustration: social media platforms often force crops that ruin the balance of an image. To solve this, I built Aphrodite Frame. It’s an open-source utility that adds intelligent white-border padding to images, ensuring they fit Instagram’s 1:1 or 4:5 ratios perfectly without losing a single pixel of the original composition. The Tech Stack: 🐍 Python & Pillow: Handled the image processing logic and aspect ratio calculations. 🎨 Streamlit: Developed a reactive frontend for instant live previews. ⚡ uv (Astral): Optimized dependency management for a fast, reproducible build. By building this, I was able to bridge the gap between aesthetic design and functional scripting. 📂 Explore the code & documentation: https://lnkd.in/gjNfuD4P (Live demo link available in the README!) #Python #SoftwareEngineering #OpenSource #WebDevelopment #ImageProcessing #BuildInPublic 

🚀 From theory → to visualization 👇 I recently built an Efficient Page Replacement Algorithm Simulator as part of my Operating Systems learning, and I’m excited to share it here! While studying concepts like FIFO, LRU, and Optimal, I realized that understanding them only from textbooks can be confusing. So I decided to build a simulator that shows exactly what happens inside memory step-by-step. 📸 (Screenshot attached below shows the actual simulation output) 💡 What this project does: Simulates FIFO, LRU, and Optimal algorithms Displays step-by-step memory frame updates Clearly shows page hits and page faults Provides graphical comparison for better analysis 🛠 Tech Stack: HTML • CSS • JavaScript • Chart.js Deployed using Vercel 💭 Key Learning: Building this project helped me understand memory management much more deeply. Visualizing concepts makes a huge difference compared to just reading theory. 🌐 Live Demo: https://eparx.vercel.app/ 📂GitHub Repository: https://lnkd.in/g3_pgehs #OperatingSystems #WebDevelopment #JavaScript #StudentProject #LearningByDoing #BuildInPublic #TechProjects