Show HN: The Atlas – I Built a 3D Universe Simulation with Python and Three.js https://ift.tt/GZ26MIQ

Show HN: The Atlas – I Built a 3D Universe Simulation with Python and Three.js Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for weeks, restart, and planets have still been orbiting. Open the same world on multiple devices and you’ll see identical cloud formations, lava flows, even particle effects—always perfectly synchronized (if your clocks are synced). The simulation applies real physics, Kepler’s laws, tidal locking, Roche limits, hydrostatic relaxation for moons, and orbital temperature variations. Scale is mind-boggling, 300 tredecillion potential planets, far beyond anything that could ever be explored. The backend runs on Python/Flask with Hypercorn, the frontend on React + Three.js, connected via a custom MIT-licensed “vite-fusion” plugin we made. Everything is generated in real time, no storage needed. The Atlas includes 26+ planet types, fictional elements, moons evolving over geological timescales, and rare life forms that display Arecibo-style messages when analyzed. There’s resource mining and spaceship progression as gamification features. At its core, it’s a playable implementation of Einstein’s block universe theory, all moments exist simultaneously in the mathematical structure, you’re just moving through different temporal slices. You can try the live demo or run your own universe locally. When installed, you can choose between Core Continuum (a shared seed universe evolving since 1986, my birth year) or Design the Multiverse (your own unique cosmos with a fresh seed). I’d love feedback on the procedural generation algorithms and ideas for expanding the physics simulation! - GitHub: https://ift.tt/nZu3KCL - Docker: bansheetech/atlas:latest - Demo: https://the-atlas.koyeb.app - Alt Demo: https://ift.tt/l8KOWQN Thanks for reading this far! <3 https://github.com/SurceBeats/Atlas September 21, 2025 at 09:26PM

Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots https://ift.tt/cIgkiQJ

Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots I built WAFlow to prototype WhatsApp-style chatbots locally with plain webhooks. Repo: https://ift.tt/mJ6aL1n Docker up → chat in browser → simulator posts a webhook to your bot → bot replies via API → export/import transcripts. Stack: .NET 8 + Blazor. MVP: Polling UI, single user, text-only. Would love feedback on what’s missing for your workflow. September 21, 2025 at 01:10AM

Show HN: Little Fluffy Clouds: Combine a bunch of small adjacent networks https://ift.tt/TMjfe58

Show HN: Little Fluffy Clouds: Combine a bunch of small adjacent networks https://ift.tt/JrEvnls September 20, 2025 at 08:00PM

Show HN: I built a free AI prompts and rules directory https://ift.tt/fPb82NR

Show HN: I built a free AI prompts and rules directory Got tired of saving my prompts scattered across X, Reddit, and Notion with no good way to organize or share them. That's why I built CTX, a community collection of prompts and rules. Create, share, and remix – everything's free and community-curated. Let me know what you think, any feedback is very welcome! https://ctx.directory September 20, 2025 at 12:37AM

Show HN: Devsyringe – automate injecting dynamic values into static files https://ift.tt/4poyA71

Show HN: Devsyringe – automate injecting dynamic values into static files Tired of manually copying tunnel URLs, API tokens, or other dynamic values into config files? Even small tasks like this break flow and are error-prone. I built Devsyringe, a small Go CLI that automates this process. You define rules in a simple YAML file, run a command, and it updates multiple static files automatically. It works for tunnels, API keys, documentation, CI/CD configs — anywhere dynamic values need injecting. I’d love to hear how others handle injecting dynamic values into static files in their workflows. GitHub: https://ift.tt/MzgXfwm https://alchemmist.xyz/articles/the-devsyringe/ September 20, 2025 at 12:34AM

Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput https://ift.tt/xwBUzLo

Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput https://ift.tt/IeEq6O9 September 20, 2025 at 12:06AM

Show HN: Neon Shower, a fun tool for animating light rays https://ift.tt/qLwQTY5

Show HN: Neon Shower, a fun tool for animating light rays Neon Shower is a playful tool for creating light burst animations that can be used as backgrounds / overlays in videos. Feedback is very welcome! https://ift.tt/ecQFgIm September 19, 2025 at 12:26AM

Show HN: Continuum Game (68k Mac) Ported to JavaScript https://ift.tt/wN9dKDJ

Show HN: Continuum Game (68k Mac) Ported to JavaScript This was an interesting porting project for a few reasons (IMO): - The original game is/was awesome and, from a programming perspective, a wonder -- smooth scrolling arcade game on a 128kb Mac in 1984... - The port was done with a lot of help from AI (mostly Claude Code, but some Gemini CLI as well). I'm a programmer; it wasn't vibe-coded. But I couldn't have done the port of 68k assembly without it. FWIW, Claude seemed better at actually porting the 68k assembly but Gemini was better at finding bugs. YMMV. - I love Redux and Redux Toolkit for state management. For the port, I put the entire game state in Redux, including all the physics, movement, etc. Every thing that happens in the game is a little redux action. You can watch the whole game get played in the RTK debugger. For some reason that makes me happy. I've released all my code as MIT. Would love to make a "modern" version some day, but for now I've just tried to be faithful to the original. There are a few bugs, noted as issues in the github repo. Feel free to add more. https://continuumjs.com September 18, 2025 at 11:21PM

Show HN: A Cyberpunk Tuner https://ift.tt/pvyqsMY

Show HN: A Cyberpunk Tuner An offline first audio deck station Does need online access but can play offline. HTML5 needed. Load local files, up to 2 GB audio. Smooth transition between tracks. EQ. Compressor, pitch and speed controls. Uses tone.js https://un.bounded.cc September 18, 2025 at 12:37AM

Show HN: Web-based 2D geometry calculator https://ift.tt/LP90Fzr

Show HN: Web-based 2D geometry calculator I often find myself trying to solve a geometry problem where the constraints are really simple to understand, but solving it algebraic is really hard and tedious. I built this whole thing from scratch with Claude Code. It's my first time trying it and I literally did not write a single line of code... That said, it still would be hard build this as a novice. I had to guide things along the happy path, but it saved me a ton of time! The code is open source! Let me know if you run into any issues. https://ccorcos.github.io/geocalc/ September 17, 2025 at 10:18PM

Show HN: Should v0.2.0 – debugging Go tests made easier https://ift.tt/P59XRcU

Show HN: Should v0.2.0 – debugging Go tests made easier Hey everyone We’ve just released v0.2.0 of should: a lightweight assertion library for Go with zero dependencies and expressive error messages. This release brings several new assertions (e.g., BeError, BeWithin, BeSameTime), refactors for better type handling, and improved docs. We’ve also added support for formatted messages and streamlined some core functions based on user feedback. Repo: https://ift.tt/1bDWY9P Feedback and suggestions are very welcome! https://ift.tt/1bDWY9P September 17, 2025 at 02:50AM

Show HN: I Collected Every Emoticon I Could Find – All Mood and Generator https://ift.tt/8wfQ3gz

Show HN: I Collected Every Emoticon I Could Find – All Mood and Generator https://ift.tt/N8dwGIn September 17, 2025 at 01:14AM

Show HN: Quizquestions.org – A free library for quiz questions https://ift.tt/kmshgAL

Show HN: Quizquestions.org – A free library for quiz questions Hey HN! I'm Salim, a content marketer, and I’m working on a website called [quizquestions.org]( https://ift.tt/Tv7scDN ). It's my project for building the biggest library of quiz questions. This is not a quiz website per se, but a library for people who make quizzes. You see, I make quizzes occasionally. There are many quiz makers, but not many resources for quizzes. And most of the resources are just blogs. So I've wanted to create a more structured website just for this. Here’s what the site offers at the moment: - A quiz card: Instead of browsing them, you can get quiz questions in a quiz format - Quiz categories: https://ift.tt/b8CTgBM - AI question generator: https://ift.tt/oOwujqD - A blog page for guides: https://ift.tt/TRDvXoc - Saving questions: To use them later for creating a quiz - Sending questions: To send your own questions - Statistics about categories: https://ift.tt/iPYsATp This is my first website, so any feedback is welcome! https://ift.tt/YVxhCqE September 16, 2025 at 11:53PM

Show HN: AI Code Detector – detect AI-generated code with 95% accuracy https://ift.tt/76wahlk

Show HN: AI Code Detector – detect AI-generated code with 95% accuracy Hey HN, I’m Henry, cofounder and CTO at Span ( https://span.app/ ). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how to drive proficiency, improve ROI, and allocate resources relating to AI tools will become at least as important as parallel processes on the talent side. Getting true visibility into AI-generated code is incredibly difficult. And yet it’s the number one thing customers ask us for. So we built a new approach from the ground up. Our AI Code Detector is powered by span-detect-1, a state-of-the-art model trained on millions of AI- and human-written code samples. It detects AI-generated code with 95% accuracy, and ties it to specific lines shipped into production. Within the Span platform, it’ll give teams a clear view into AI’s real impact on velocity, quality, and ROI. It does have some limitations. Most notably, it only works for TypeScript and Python code. We are adding support for more languages: Java, Ruby, and C# are next. Its accuracy is around 95% today, and we’re working on improving that, too. If you’d like to take it for a spin, you can run a code snippet here ( https://ift.tt/XquWoF0 ) and get results in about five seconds. We also have a more narrative-driven microsite ( https://ift.tt/CAP3iyS ) that my marketing team says I have to share. Would love your thoughts, both on the tool itself and your own experiences. I’ll be hanging out in the comments to answer questions, too. https://ift.tt/XquWoF0 September 16, 2025 at 11:48PM

Show HN: Datadef.io – Canvas for data lineage and metadata management https://ift.tt/pLvIg6T

Show HN: Datadef.io – Canvas for data lineage and metadata management Hi HN, I’ve been working on https://datadef.io , a tool to help data team (engineer, architect, project manager) make sense of their data universe. The problem: - Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast). Datadef.io aims to fix that by providing: - Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table/column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export/share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs. It’s still early, and I’d love feedback from the HN community. In particular: What’s missing for you in lineage/metadata/documentation tools? How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)? I’d really appreciate your thoughts, feature requests, and criticism. Thanks! https://datadef.io/ September 14, 2025 at 11:59PM

Show HN: Allzonefiles.io – download 307M registered domain names https://ift.tt/jL56V0N

Show HN: Allzonefiles.io – download 307M registered domain names - 307M registered domain names across 1570 domain zones total (.com, .net, .io, .ai, .sh, etc) - 78M registered domain names across 312 ccTLD domain zones (.uk, .de, .io, .ai, .sh, etc) - daily lists of newly registered domain names - daily lists of expired domain names - download all domain lists as one huge .zip file (1.2 Gb size) https://allzonefiles.io September 16, 2025 at 12:12AM

Show HN: Worried about your pet? Health assessments with instant answers https://ift.tt/HlYxBaK

Show HN: Worried about your pet? Health assessments with instant answers https://petcheckai.com September 15, 2025 at 01:36AM

Show HN: DriftDB – An experimental append-only database with time-travel queries https://ift.tt/sYr3QEM

Show HN: DriftDB – An experimental append-only database with time-travel queries https://ift.tt/uRBQNV3 September 15, 2025 at 01:12AM

Show HN: Update: Open-source private home security camera(end-to-end encryption) https://ift.tt/4lQ95sW

Show HN: Update: Open-source private home security camera(end-to-end encryption) Several months ago, I posted in Show HN ( https://ift.tt/rcuH574 ) about this project (previously named Privastead, now changed to Secluso). It's a privacy-preserving home security camera that uses OpenMLS for end-to-end encryption between the camera and the mobile app. The post received a good amount of attention and there were many good comments. Since then, my project cofounder and I have made major improvements to the project. The project previously would act as a hub for an IP camera, which was otherwise closed source. But now, our camera software can also run directly on a Raspberry Pi (even one as weak as a Raspberry Pi Zero 2W), resulting in a security camera with a fully open source software stack. In addition, our Raspberry Pi-based camera can perform AI to detect people/pets/vehicles and send notifications. Moreover, our released camera binary can be verified using reproducible builds and our app now runs on iOS as well as Android. You can use this project to turn your Raspberry Pi into a fully functional and (more important) private security camera. Please check it out, use it, and provide us with feedback! In addition, we built a prototype of a standalone home security camera using this open source project and a Raspberry Pi. Please check it out here ( https://secluso.com/ ). It's not meant to replace the open source project, but to explore whether a plug-and-play camera could make it easier for people who are interested but don't have time to set up our project on a Raspberry Pi. We're curious if this kind of device would be useful to the community. If you'd like updates on our progress on that front, you can join our mailing list on the site. Finally, we'd love to hear your feedback and ideas on how we can improve the project. And we always welcome contributions to our open source project. Our site: https://secluso.com https://ift.tt/vCAunZk September 15, 2025 at 01:14AM

Show HN: From selling AI to QA teams to building a smooth test-management app https://ift.tt/KORXQ89

Show HN: From selling AI to QA teams to building a smooth test-management app Hey HN, Bootstrapped founder here. I've got a bit of a story for you. We started desplega.ai to build a sophisticated AI platform that could automate E2E testing. We spent the last few months talking to dozens of QA leaders, and trying to learn what are their actual challenges. We've got one consistent feedback from large teams: their daily reality is a living hell of slow, clunky tools. We're talking about teams at major companies still managing tests on spreadsheets. Or they're stuck in a Jira instance so customized and slow you can “make a full pot of coffee” while a page loads (and that’s why they acquired arc! t3.gg said it first). On top of that, they're paying 2k/mo+!? for these tools that feel like they were designed in ‘05. Soon, it became obvious that our AI tool was way too advanced for them, and why it was much easier for younger startups to start using us. But we didn't want to give up on them just yet so... Because I grew up when the internet was still free, and I actually miss that a lot, we decided to create a free test management tool. Our vision is still AI, but we learned AI is not the silver bullet large teams are wishing for. (We wrote something about it at https://ift.tt/vL2kyWa ). Our hypothesis right now is that we can be that team building the right tools for each QA team, leveraging AI. We would love to hear your thoughts on (a) Should we make the project open-source? Any key features? (b) Would you ever trust an entity to do your QA first pass? Cheers, https://ift.tt/9qREcUB September 15, 2025 at 12:12AM