The best Hacker News stories from Show from the past day
Latest posts:
Show HN: A Marble Madness-inspired WebGL game we built for Netlify
Hello HN! We’re a small creative studio specializing in real-time 3D experiences. Netlify approached us to design and build an interactive experience to celebrate reaching 5 million developers.<p>Inspired by the classic game Marble Madness, we created a gamified experience where users control a ball through playful, interactive levels. The goal was to blend marketing content with the look and feel of a game to engage users.<p>The app is built with Three.js [1], using our custom render pipeline and shaders, and uses Rapier for physics simulation [2]. The 2D content is overlaid on the WebGL view using CSS 3D transforms for a seamless integration with the 3D view.<p>We’d love for you to try it out and share your thoughts!<p>[1] <a href="https://threejs.org" rel="nofollow">https://threejs.org</a><p>[2] <a href="https://rapier.rs" rel="nofollow">https://rapier.rs</a><p>EDIT: More info on this project here: <a href="https://www.littleworkshop.fr/projects/5milliondevs/" rel="nofollow">https://www.littleworkshop.fr/projects/5milliondevs/</a>
Show HN: A Marble Madness-inspired WebGL game we built for Netlify
Hello HN! We’re a small creative studio specializing in real-time 3D experiences. Netlify approached us to design and build an interactive experience to celebrate reaching 5 million developers.<p>Inspired by the classic game Marble Madness, we created a gamified experience where users control a ball through playful, interactive levels. The goal was to blend marketing content with the look and feel of a game to engage users.<p>The app is built with Three.js [1], using our custom render pipeline and shaders, and uses Rapier for physics simulation [2]. The 2D content is overlaid on the WebGL view using CSS 3D transforms for a seamless integration with the 3D view.<p>We’d love for you to try it out and share your thoughts!<p>[1] <a href="https://threejs.org" rel="nofollow">https://threejs.org</a><p>[2] <a href="https://rapier.rs" rel="nofollow">https://rapier.rs</a><p>EDIT: More info on this project here: <a href="https://www.littleworkshop.fr/projects/5milliondevs/" rel="nofollow">https://www.littleworkshop.fr/projects/5milliondevs/</a>
Show HN: Yami – An Open Source Music Player with Spotdl Integration
Show HN: Yami – An Open Source Music Player with Spotdl Integration
Show HN: Yami – An Open Source Music Player with Spotdl Integration
Show HN: Yami – An Open Source Music Player with Spotdl Integration
Show HN: Retry a command with exponential backoff and jitter (+ Starlark exprs)
Show HN: Retry a command with exponential backoff and jitter (+ Starlark exprs)
Show HN: Unbug – Rust macros for programmatically invoking breakpoints
This project is inspired by some of the asserts in Unreal engine.<p>Due to reliance on core_intrinsics it is necessary to develop using nightly Rust, but there are stubs in place so a production build will not require nightly.<p>I recently released version 0.2 which includes no_std support and adds optional log message arguments to the ensure macro.
Show HN: Cardo ‒ Open Source desktop podcast client
Show HN: Cardo - Open Source Desktop Podcast Client<p>Hi, I'm an amateur developer from Spain.
I have released this desktop podcast client that works on Windows, Mac and Linux.<p>It's a modest project, but it might be useful for you, it has syncing capabilities with Antennapod, Kasts, Repod or other clients. You can manage your subscriptions, queue episodes and even download them to listen to later.<p>I look forward to hearing your thoughts.
Show HN: Cardo ‒ Open Source desktop podcast client
Show HN: Cardo - Open Source Desktop Podcast Client<p>Hi, I'm an amateur developer from Spain.
I have released this desktop podcast client that works on Windows, Mac and Linux.<p>It's a modest project, but it might be useful for you, it has syncing capabilities with Antennapod, Kasts, Repod or other clients. You can manage your subscriptions, queue episodes and even download them to listen to later.<p>I look forward to hearing your thoughts.
Show HN: Cardo ‒ Open Source desktop podcast client
Show HN: Cardo - Open Source Desktop Podcast Client<p>Hi, I'm an amateur developer from Spain.
I have released this desktop podcast client that works on Windows, Mac and Linux.<p>It's a modest project, but it might be useful for you, it has syncing capabilities with Antennapod, Kasts, Repod or other clients. You can manage your subscriptions, queue episodes and even download them to listen to later.<p>I look forward to hearing your thoughts.
Show HN: We open-sourced our compost monitoring tech
I'm from a compost tech startup (Monty Compost Co.) focused on making composting more efficient for households and industrial facilities. But our tech isn’t just for composting— it’s a versatile system that can be repurposed for a wide range of applications. So, we’ve made it open source for anyone to experiment with!<p>One of the exciting things about our open-source compost monitoring tech is its flexibility. You can connect it to platforms like Raspberry Pi, Arduino, or other single-board computers to expand its capabilities or integrate it into your own projects.<p>Our system includes sensors for:
* Gas composition
* Temperature
* Moisture levels
* Air pressure<p>All data can be exported as CSV files for analysis. While it’s originally built for monitoring compost, the hardware and data capabilities are versatile and could be repurposed for other applications (IoT, environmental monitoring, etc.)<p>Hacker’s Guide to Monty Tech: <a href="https://github.com/gtls64/MontyHome-Hackers-Guide">https://github.com/gtls64/MontyHome-Hackers-Guide</a><p>If you’re into data, sensors, or creative tech hacks, we’d love for you to check it out and let us know what you build!
Show HN: We open-sourced our compost monitoring tech
I'm from a compost tech startup (Monty Compost Co.) focused on making composting more efficient for households and industrial facilities. But our tech isn’t just for composting— it’s a versatile system that can be repurposed for a wide range of applications. So, we’ve made it open source for anyone to experiment with!<p>One of the exciting things about our open-source compost monitoring tech is its flexibility. You can connect it to platforms like Raspberry Pi, Arduino, or other single-board computers to expand its capabilities or integrate it into your own projects.<p>Our system includes sensors for:
* Gas composition
* Temperature
* Moisture levels
* Air pressure<p>All data can be exported as CSV files for analysis. While it’s originally built for monitoring compost, the hardware and data capabilities are versatile and could be repurposed for other applications (IoT, environmental monitoring, etc.)<p>Hacker’s Guide to Monty Tech: <a href="https://github.com/gtls64/MontyHome-Hackers-Guide">https://github.com/gtls64/MontyHome-Hackers-Guide</a><p>If you’re into data, sensors, or creative tech hacks, we’d love for you to check it out and let us know what you build!
Show HN: We open-sourced our compost monitoring tech
I'm from a compost tech startup (Monty Compost Co.) focused on making composting more efficient for households and industrial facilities. But our tech isn’t just for composting— it’s a versatile system that can be repurposed for a wide range of applications. So, we’ve made it open source for anyone to experiment with!<p>One of the exciting things about our open-source compost monitoring tech is its flexibility. You can connect it to platforms like Raspberry Pi, Arduino, or other single-board computers to expand its capabilities or integrate it into your own projects.<p>Our system includes sensors for:
* Gas composition
* Temperature
* Moisture levels
* Air pressure<p>All data can be exported as CSV files for analysis. While it’s originally built for monitoring compost, the hardware and data capabilities are versatile and could be repurposed for other applications (IoT, environmental monitoring, etc.)<p>Hacker’s Guide to Monty Tech: <a href="https://github.com/gtls64/MontyHome-Hackers-Guide">https://github.com/gtls64/MontyHome-Hackers-Guide</a><p>If you’re into data, sensors, or creative tech hacks, we’d love for you to check it out and let us know what you build!
Show HN: Bike route planner that follows almost only official bike trails
Hey guys,
I built a route planner that is mostly focused on bike touring and using existing bike infrastructure.<p>For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route.<p>The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there.<p>Currently the app only works for the Euro region but I'm planning to add North America very soon and then rest of the world.<p>Technical overview:
Route finding - Graphhopper sitting in a docker container on a Hetzner server somewhere in Germany. It has 38 GB of graph data(Europe) loaded into RAM for a fast graph traversal.<p>Web App - Next.js 14 with Typescript, backend on the newest version of .NET<p>Map tiles - right now I'm using MapTiler their free tier but planning to switch to my own home server soon and host the maps on it.
Show HN: Bike route planner that follows almost only official bike trails
Hey guys,
I built a route planner that is mostly focused on bike touring and using existing bike infrastructure.<p>For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route.<p>The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there.<p>Currently the app only works for the Euro region but I'm planning to add North America very soon and then rest of the world.<p>Technical overview:
Route finding - Graphhopper sitting in a docker container on a Hetzner server somewhere in Germany. It has 38 GB of graph data(Europe) loaded into RAM for a fast graph traversal.<p>Web App - Next.js 14 with Typescript, backend on the newest version of .NET<p>Map tiles - right now I'm using MapTiler their free tier but planning to switch to my own home server soon and host the maps on it.
Show HN: Bike route planner that follows almost only official bike trails
Hey guys,
I built a route planner that is mostly focused on bike touring and using existing bike infrastructure.<p>For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route.<p>The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there.<p>Currently the app only works for the Euro region but I'm planning to add North America very soon and then rest of the world.<p>Technical overview:
Route finding - Graphhopper sitting in a docker container on a Hetzner server somewhere in Germany. It has 38 GB of graph data(Europe) loaded into RAM for a fast graph traversal.<p>Web App - Next.js 14 with Typescript, backend on the newest version of .NET<p>Map tiles - right now I'm using MapTiler their free tier but planning to switch to my own home server soon and host the maps on it.
Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3].<p>I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback.<p>Cheers<p>[1] <a href="https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html" rel="nofollow">https://transformer-circuits.pub/2024/scaling-monosemanticit...</a><p>[2] <a href="https://arxiv.org/abs/2406.04093" rel="nofollow">https://arxiv.org/abs/2406.04093</a><p>[3] <a href="https://arxiv.org/abs/2408.05147" rel="nofollow">https://arxiv.org/abs/2408.05147</a>
Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3].<p>I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback.<p>Cheers<p>[1] <a href="https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html" rel="nofollow">https://transformer-circuits.pub/2024/scaling-monosemanticit...</a><p>[2] <a href="https://arxiv.org/abs/2406.04093" rel="nofollow">https://arxiv.org/abs/2406.04093</a><p>[3] <a href="https://arxiv.org/abs/2408.05147" rel="nofollow">https://arxiv.org/abs/2408.05147</a>