Monday, August 31, 2026

Show HN: NFC Energy-Harvesting PCB Business Card with an MCU https://ift.tt/vTjbn16

Show HN: NFC Energy-Harvesting PCB Business Card with an MCU https://ift.tt/Rlwcu69 August 28, 2026 at 07:18PM

Show HN: Academa – Long-form STEM lecture videos generated by LLMs https://ift.tt/l0Xn2Bv

Show HN: Academa – Long-form STEM lecture videos generated by LLMs Hi HN, we are Sina Atalay and Abdullah Geduk, co-founders of Academa. We are both PhD students. We thought: what if lecture videos were written as code and compiled into video using computer graphics and TTS? Then LLMs could write them, and lectures could be fixed with code edits instead of video production. On correctness: LLMs may make mistakes. But these videos are code sitting in our repository, and we can maintain them. Every report and review becomes a fix in the source, and everyone who watches after that gets the corrected lecture. Every recorded lecture on the internet is stuck with its mistakes. Ours will continuously improve. Each video also comes with an AI chat that understands everything said and shown in the lecture. There is a longer write-up at the bottom of the page. Happy to answer any questions. https://academa.ai/ August 31, 2026 at 03:52AM

Show HN: Cogram Studio – CAD and BIM workspace for humans and agents https://ift.tt/SPru4Is

Show HN: Cogram Studio – CAD and BIM workspace for humans and agents Hi HN, Rick and Alex here, co-founders of Cogram. We’ve been making project-management software for architects and engineers since 2023, and are now experimenting with a second product. Cogram Studio (studio.cogram.com) is a CAD and BIM workspace for AI agents to create three-dimensional models and dimensioned drawings. Studio runs FreeCAD ( https://ift.tt/wpIyiQt ) 1.1 headlessly, using the OpenCASCADE ( https://ift.tt/Yml47N5 ) geometry kernel. It imports and exports STEP, IFC, STL, DXF and FCStd files. Studio exposes an MCP server, so you can operate it from Claude Code, Codex, ChatGPT, or other agents. Tools cover scripting against FreeCAD, inspecting the model visually, CRUD operations on views, tables, and sheets, importing terrain, etc. Studio also provides a built-in agent based on Pi ( https://ift.tt/zFJlvwZ ) and a basic UI for 3D model inspection, measurement, view, table, and sheet creation. There are two ways to try it: 1. Bring your own agent. Point Codex or Claude Code at studio.cogram.com/skill.md and ask it to follow instructions there. This starts a one-hour Studio session and opens the modelling environment in your browser, connected to your agent. You need to confirm sign up only if you want to save the session. 2. Use Studio’s built-in agent. Submit a prompt at studio.cogram.com and sign up. You receive 50 free credits. Here are two models created by agents: - A simple bookshelf ( https://ift.tt/kCM1Qjh ) with two sheets - The Colosseum ( https://ift.tt/XY4S3NE ) [large, can take minutes to load], with two sheets showing dimensioned and annotated views. For now, Studio works best when you use it iteratively. If you ask an agent for a finished, complex model and “let it rip”, it may produce something that looks convincing but doesn't hold up to scrutiny. Agentic modelling feels roughly like where agentic programming was in 2024: useful for speeding up repetitive or bounded tasks but not yet reliable enough to complete long, complex jobs. Recent models have improved at CAD. We expect progress to accelerate as models become even better at reasoning across the different representations used in architecture and engineering: geometry, drawings, images, materials, physical constraints, specifications, regulations, code, etc. Early users and our own experience suggest that agents are already useful design collaborators. They can help with repetitive CAD work, fabrication options, part sourcing and cost estimates. We expect that as models improve, agents will be able to explore many different designs, run simulations, and check constraints across an entire project. CAD will become a shared workspace for humans and agents. Because design decisions made in CAD shape much of what is eventually built, even modest improvements could have wide effects. We’d love to hear your feedback and ideas if you give Studio a try. We’re also hiring across product, engineering and commercial roles. If you’re interested in working on interesting problems involving AI and the physical world, please take a look at our open positions at https://ift.tt/qJMKFoQ . https://ift.tt/rRaABDd August 31, 2026 at 12:19AM

Sunday, August 30, 2026

Saturday, August 29, 2026

Show HN: Boop – tiny, self-hosted push notifications for your apps built in Go https://ift.tt/hoKHkQF

Show HN: Boop – tiny, self-hosted push notifications for your apps built in Go Hi HN, I built Boop because I wanted application events sent directly to my phone without paying for another service or routing everything through Slack or Telegram. Boop is a small, open-source server paired with an open-source iOS app. The server currently uses around 8 MB of memory on my machine. It’s deliberately not an observability platform or a replacement for Sentry. It receives events from your applications, sends native push notifications, and keeps them in a purpose-built mobile inbox. I use Elixir, so I built an integration for ErrorTracker. ErrorTracker still captures and stores the errors; the plugin sends them to Boop so I can see them on my phone: https://ift.tt/he8ROtI There’s also a general Elixir client: https://ift.tt/PbycNro And a Node client: https://ift.tt/F61lYLp The iOS app can be built and installed locally. I’ve included instructions for configuring private push notifications for your own device, so you don’t need to release anything through the App Store. Although errors were my original use case, Boop can receive any event worth knowing about: failed jobs, deployments, signups, payments, low disk space, or anything else your application can send. Built in Go because I wanted to save memory on my self-hosted machine so Go and Svelte felt like a good combo. Everything is free and open source. It’s early, so I’d especially appreciate feedback on the architecture, setup process, and which integrations would make it useful to others. https://ift.tt/LyrnlKh August 29, 2026 at 12:33AM

Show HN: Guess the AI model from its web design https://ift.tt/cQp81Lx

Show HN: Guess the AI model from its web design https://ift.tt/rSuHnR3 September 1, 2026 at 01:10AM