The best Hacker News stories from Show from the past day
Latest posts:
Show HN: HyperCard to HTML Converter
I created a converter that turns HyperCard 2.x stacks into standalone HTML so they can run in a modern browser.<p>I built it to share my own stacks from the early '90s, which have been sitting on old floppy images for 30 years.<p>It's MIT-licensed and I'd welcome contributions - especially stacks that break the converter, since I've only tested it against my own. If you have old HyperCard files lying around, I'd love to hear how they fare.
Show HN: VODForge – a free local desktop UI for YouTube video/playlist downloads
I built VODForge because I work with a CTV company that needed to pull YouTube videos from our channel partners into our media workflow.<p>Converter sites are always an option but the bitrate wasn't optimal for a CTV network that needs to make multiple streaming version off of a single source file. So I build vodforge to use yt-dlp and ffmpeg under the hood with preconfigured settings for the highest quality end result, automatically adjusting the output settings based on source quality, frame rate, and things like that.<p>It became a game changer internally for us because we were able to avoid sketchy converter sites and avoid paid converter software. Eventually I decided to release it for free and others loved it as well. We started to add support for many of the features that other software charges for, supporting 4K, playlist support, customizing application theme, persistent searchable library, auto organizing downloads by channel and playlist, MP3 support up to 320 kbps, and much more.<p>Looking for feedback on the user experience and additional features that you might find useful. My goal is to grow VODForge into a widely adopted free tool for people who do not want to deal with sketchy websites, CLI mess, or pay for things that you could ultimately do for free given time and effort. VODForge wants to make it EASY and maintained for you. We know anyone can make a GUI wrapper, but that is a trivial way to describe what VODForge aims to offer, user-friendliness, "it just works", libraries and packages maintained for you. All you should think about is what to download next.<p>VODForge awaits...
Show HN: Sol, my macOS music player and jukebox app, is now free and open source
Show HN: Mador – Make any DOM reactive with a tiny 80-line Proxy state tuple
Show HN: Kadō – open-source habit tracker, with non-binary habit score, for iOS
Show HN: Amaze Kings – a browser logic puzzle with 1,400 hand-graded levels
Show HN: Getting to the top of Show HN is getting harder
Show HN: Personal Context MCP
Show HN: Moadim.io – A scheduler for agents
Why can't we get an agent scheduler that supports all of the following:<p>- git compatible<p>- agent agnostic<p>- 100% open source<p>- os and system-agnostic<p>- multi-runner support<p>- support mcp/ui/http<p>- unlimited routines/crons<p>So I built one, moadim.io is a local Rust daemon you install in the target machine, give it a name and manage its routines via a Git repository, wants a new routine that send you a daily message from this machine? Create a pr and merge, have another routine that run every hour to pull the latest changes to the ~/.config/moadim folder.<p>With more than 1,000 users, I define this project as almost "done" and ready for production. Me and thousand more people are use it in a daily manner.<p>It currently supports Claude, Codex, Hermes, and Pi, and you are welcome to add your agent of choice as well because it's 100% configurable.<p>You are welcome to have a look at the source code of the daemon in "<a href="http://github.com/moadim-io/daemon" rel="nofollow">http://github.com/moadim-io/daemon</a>"<p>Feel free to provide me with suggestions for more features around this topic. I don't want to branch out to new off road topics likt webhooks, this is a "done" software in the realm of agents schedulers that focus on cron-like work.<p>Also feel free to start the github repository and open issues and PRs for your suggestions.
Show HN: Moadim.io – A scheduler for agents
Why can't we get an agent scheduler that supports all of the following:<p>- git compatible<p>- agent agnostic<p>- 100% open source<p>- os and system-agnostic<p>- multi-runner support<p>- support mcp/ui/http<p>- unlimited routines/crons<p>So I built one, moadim.io is a local Rust daemon you install in the target machine, give it a name and manage its routines via a Git repository, wants a new routine that send you a daily message from this machine? Create a pr and merge, have another routine that run every hour to pull the latest changes to the ~/.config/moadim folder.<p>With more than 1,000 users, I define this project as almost "done" and ready for production. Me and thousand more people are use it in a daily manner.<p>It currently supports Claude, Codex, Hermes, and Pi, and you are welcome to add your agent of choice as well because it's 100% configurable.<p>You are welcome to have a look at the source code of the daemon in "<a href="http://github.com/moadim-io/daemon" rel="nofollow">http://github.com/moadim-io/daemon</a>"<p>Feel free to provide me with suggestions for more features around this topic. I don't want to branch out to new off road topics likt webhooks, this is a "done" software in the realm of agents schedulers that focus on cron-like work.<p>Also feel free to start the github repository and open issues and PRs for your suggestions.
Show HN: Fly By – retro biplane flying game
Feedback welcome. Best on desktop. Works on mobile, but needs more polish there.<p>My concept, my guidance, and Gemini Flash doing the work. Took about 4 hours and 50+ conversations with Gemini.<p>Big Kudos to Gemini Flash (since 3.5 and later), because I have had great success with it on many projects.
Show HN: Fly By – retro biplane flying game
Feedback welcome. Best on desktop. Works on mobile, but needs more polish there.<p>My concept, my guidance, and Gemini Flash doing the work. Took about 4 hours and 50+ conversations with Gemini.<p>Big Kudos to Gemini Flash (since 3.5 and later), because I have had great success with it on many projects.
Show HN: Prices.eu.org
When Ox-alpha was free I had it build this EU price index/tracker (the build took 40+ hours).<p>Gemini deep research found the sources.<p>Currently it tracks:<p>- Fuel<p>- Electricity<p>- Currency<p>- Housing<p>- Groceries<p>- Wages<p>- Purchasing power
Show HN: Reactor Atlas
Hi HN, I'm a nuclear engineer and tech entrepreneur. After working for 3 years in the National Atomic Energy Commision (CNEA) in HPC software for nuclear simulations, I co-founded ratherlabs.com, a software company providing blockchain solutions for startups. Rather Labs business reached ~6 million usd in annual revenue in 2024; now demand is decreasing as our niche clients are using AI to launch their MVPs.<p>Now I'm joining my scientific background with my entrepreneurial inclinations to think of problems related to the energy industry. Nuclear is experiencing a renaissance now (it was in a dark age when I was studying after the Fukushima event) so I think this is the right moment for me to jump again into the field.<p>Reactor atlas is an interactive nuclear reactor map and an intelligence layer on top of it. The basic layer indexes:<p><pre><code> - power reactors
- research reactors
- fuel facilities
</code></pre>
with their history and projection, by country. The project is solving a fragmented information ecosystem, where operational and commercial data is hard to conciliate. Also, I'm monitoring nuclear news associated with each of the facilities, political declarations that may affect the nuclear landscape and geo-phisical news (like earthquakes) that could affect operation. On top of the operational + news layer, I'm creating an intelligence layer that will help institutions of different types make faster decisions by subscribing to very specific alerts.<p>As an engineer, I used to code in fortran and c++ when I was working at CNEA, and later I participated in the first Rather Labs projects architecting complex async systems, mostly using MERN stack. I'm no longer coding anymore. I'm focused on designing robust systems with AI agents.<p>I mainly used Claude Fable 5.1 to develop reactoratlas.com, deploying on vercel and using mostly nextjs, threejs, postgreSQL and some cron jobs to query and update data. I miss coding as in the old days, but I haven't code a single line in this project. And I strongly believe we humans shouldn't code anymore: our responsibility is now on designing and supervising AI systems.<p>Thanks for your attention!
Show HN: Reactor Atlas
Hi HN, I'm a nuclear engineer and tech entrepreneur. After working for 3 years in the National Atomic Energy Commision (CNEA) in HPC software for nuclear simulations, I co-founded ratherlabs.com, a software company providing blockchain solutions for startups. Rather Labs business reached ~6 million usd in annual revenue in 2024; now demand is decreasing as our niche clients are using AI to launch their MVPs.<p>Now I'm joining my scientific background with my entrepreneurial inclinations to think of problems related to the energy industry. Nuclear is experiencing a renaissance now (it was in a dark age when I was studying after the Fukushima event) so I think this is the right moment for me to jump again into the field.<p>Reactor atlas is an interactive nuclear reactor map and an intelligence layer on top of it. The basic layer indexes:<p><pre><code> - power reactors
- research reactors
- fuel facilities
</code></pre>
with their history and projection, by country. The project is solving a fragmented information ecosystem, where operational and commercial data is hard to conciliate. Also, I'm monitoring nuclear news associated with each of the facilities, political declarations that may affect the nuclear landscape and geo-phisical news (like earthquakes) that could affect operation. On top of the operational + news layer, I'm creating an intelligence layer that will help institutions of different types make faster decisions by subscribing to very specific alerts.<p>As an engineer, I used to code in fortran and c++ when I was working at CNEA, and later I participated in the first Rather Labs projects architecting complex async systems, mostly using MERN stack. I'm no longer coding anymore. I'm focused on designing robust systems with AI agents.<p>I mainly used Claude Fable 5.1 to develop reactoratlas.com, deploying on vercel and using mostly nextjs, threejs, postgreSQL and some cron jobs to query and update data. I miss coding as in the old days, but I haven't code a single line in this project. And I strongly believe we humans shouldn't code anymore: our responsibility is now on designing and supervising AI systems.<p>Thanks for your attention!
Show HN: Reactor Atlas
Hi HN, I'm a nuclear engineer and tech entrepreneur. After working for 3 years in the National Atomic Energy Commision (CNEA) in HPC software for nuclear simulations, I co-founded ratherlabs.com, a software company providing blockchain solutions for startups. Rather Labs business reached ~6 million usd in annual revenue in 2024; now demand is decreasing as our niche clients are using AI to launch their MVPs.<p>Now I'm joining my scientific background with my entrepreneurial inclinations to think of problems related to the energy industry. Nuclear is experiencing a renaissance now (it was in a dark age when I was studying after the Fukushima event) so I think this is the right moment for me to jump again into the field.<p>Reactor atlas is an interactive nuclear reactor map and an intelligence layer on top of it. The basic layer indexes:<p><pre><code> - power reactors
- research reactors
- fuel facilities
</code></pre>
with their history and projection, by country. The project is solving a fragmented information ecosystem, where operational and commercial data is hard to conciliate. Also, I'm monitoring nuclear news associated with each of the facilities, political declarations that may affect the nuclear landscape and geo-phisical news (like earthquakes) that could affect operation. On top of the operational + news layer, I'm creating an intelligence layer that will help institutions of different types make faster decisions by subscribing to very specific alerts.<p>As an engineer, I used to code in fortran and c++ when I was working at CNEA, and later I participated in the first Rather Labs projects architecting complex async systems, mostly using MERN stack. I'm no longer coding anymore. I'm focused on designing robust systems with AI agents.<p>I mainly used Claude Fable 5.1 to develop reactoratlas.com, deploying on vercel and using mostly nextjs, threejs, postgreSQL and some cron jobs to query and update data. I miss coding as in the old days, but I haven't code a single line in this project. And I strongly believe we humans shouldn't code anymore: our responsibility is now on designing and supervising AI systems.<p>Thanks for your attention!
Show HN: TERMy – A fast terminal assistant that does not use LLMs
I love research and development, you may have heard of me because of PJON (Padded Jittering Operative Network). It is a network protocol I started developing in 2010, which was recently implemented in silicon by the ETH Zurich university thanks to the research of Pius Sieber.<p>I am excited to share with you TERMy, a terminal assistant built on top of the NPC-Forge framework. Unlike everything else being built today, TERMy does not use embeddings, machine-learning or LLMs. It runs on the CPU (even on a Raspberry Pi Zero) both in the terminal or client-side in a browser tab and responds in milliseconds. It is a cynical but very knowledgeable Linux terminal assistant that translates your natural language into shell commands without relying on a single artificial neuron.<p>I had a chance to focus for 2 months on my personal projects since early July, during the strange times of AI price hikes and the end of subsidized tokenmaxing. I was curious to see if I could develop from scratch a terminal assistant capable of handling simple natural language requests. I have a bad memory and got used to ask to copilot "activate the virtual environment" or similar trivial operations spending a non negligible sum every month. I started thinking, maybe I can do something to make my workflow more efficient? Do I really need trillions of parameters to accomplish those tasks?<p>How it Works<p>When you type a prompt, it goes through a lightweight NLU pipeline written in ~1000 lines of Python that implement the following steps:<p>1. Strip expletives, interjections, encouraging, discouraging and thanking words (remove noise)<p>2. Sentiment analysis<p>3. Exact Match (very fast)<p>4. Template Match (slower)<p>5. Probabilistic Match (even slower)<p>Step 5 relies on:<p>1. IDF (Inverse Document Frequency) to identify rare words.<p>2. BOW (Bag Of Words) to accommodate word inversions.<p>3. IDF weighted Levenshtein to safely handle typos.<p>Permission gating is hardcoded into the dataset and enforced for all potentially destructive commands, so it's inherently safer than letting an unpredictable LLM run wild on your machine.<p>- TERMy in operation: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Variance and typo tolerance: <a href="https://www.youtube.com/watch?v=tQvGDk6fkk0" rel="nofollow">https://www.youtube.com/watch?v=tQvGDk6fkk0</a><p>- Copilot integration: <a href="https://www.youtube.com/watch?v=Wzzouhq2a8A" rel="nofollow">https://www.youtube.com/watch?v=Wzzouhq2a8A</a><p>- Advanced features: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Source Code: <a href="https://github.com/gioblu/NPC-Forge" rel="nofollow">https://github.com/gioblu/NPC-Forge</a>
Show HN: TERMy – A fast terminal assistant that does not use LLMs
I love research and development, you may have heard of me because of PJON (Padded Jittering Operative Network). It is a network protocol I started developing in 2010, which was recently implemented in silicon by the ETH Zurich university thanks to the research of Pius Sieber.<p>I am excited to share with you TERMy, a terminal assistant built on top of the NPC-Forge framework. Unlike everything else being built today, TERMy does not use embeddings, machine-learning or LLMs. It runs on the CPU (even on a Raspberry Pi Zero) both in the terminal or client-side in a browser tab and responds in milliseconds. It is a cynical but very knowledgeable Linux terminal assistant that translates your natural language into shell commands without relying on a single artificial neuron.<p>I had a chance to focus for 2 months on my personal projects since early July, during the strange times of AI price hikes and the end of subsidized tokenmaxing. I was curious to see if I could develop from scratch a terminal assistant capable of handling simple natural language requests. I have a bad memory and got used to ask to copilot "activate the virtual environment" or similar trivial operations spending a non negligible sum every month. I started thinking, maybe I can do something to make my workflow more efficient? Do I really need trillions of parameters to accomplish those tasks?<p>How it Works<p>When you type a prompt, it goes through a lightweight NLU pipeline written in ~1000 lines of Python that implement the following steps:<p>1. Strip expletives, interjections, encouraging, discouraging and thanking words (remove noise)<p>2. Sentiment analysis<p>3. Exact Match (very fast)<p>4. Template Match (slower)<p>5. Probabilistic Match (even slower)<p>Step 5 relies on:<p>1. IDF (Inverse Document Frequency) to identify rare words.<p>2. BOW (Bag Of Words) to accommodate word inversions.<p>3. IDF weighted Levenshtein to safely handle typos.<p>Permission gating is hardcoded into the dataset and enforced for all potentially destructive commands, so it's inherently safer than letting an unpredictable LLM run wild on your machine.<p>- TERMy in operation: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Variance and typo tolerance: <a href="https://www.youtube.com/watch?v=tQvGDk6fkk0" rel="nofollow">https://www.youtube.com/watch?v=tQvGDk6fkk0</a><p>- Copilot integration: <a href="https://www.youtube.com/watch?v=Wzzouhq2a8A" rel="nofollow">https://www.youtube.com/watch?v=Wzzouhq2a8A</a><p>- Advanced features: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Source Code: <a href="https://github.com/gioblu/NPC-Forge" rel="nofollow">https://github.com/gioblu/NPC-Forge</a>
Show HN: TERMy – A fast terminal assistant that does not use LLMs
I love research and development, you may have heard of me because of PJON (Padded Jittering Operative Network). It is a network protocol I started developing in 2010, which was recently implemented in silicon by the ETH Zurich university thanks to the research of Pius Sieber.<p>I am excited to share with you TERMy, a terminal assistant built on top of the NPC-Forge framework. Unlike everything else being built today, TERMy does not use embeddings, machine-learning or LLMs. It runs on the CPU (even on a Raspberry Pi Zero) both in the terminal or client-side in a browser tab and responds in milliseconds. It is a cynical but very knowledgeable Linux terminal assistant that translates your natural language into shell commands without relying on a single artificial neuron.<p>I had a chance to focus for 2 months on my personal projects since early July, during the strange times of AI price hikes and the end of subsidized tokenmaxing. I was curious to see if I could develop from scratch a terminal assistant capable of handling simple natural language requests. I have a bad memory and got used to ask to copilot "activate the virtual environment" or similar trivial operations spending a non negligible sum every month. I started thinking, maybe I can do something to make my workflow more efficient? Do I really need trillions of parameters to accomplish those tasks?<p>How it Works<p>When you type a prompt, it goes through a lightweight NLU pipeline written in ~1000 lines of Python that implement the following steps:<p>1. Strip expletives, interjections, encouraging, discouraging and thanking words (remove noise)<p>2. Sentiment analysis<p>3. Exact Match (very fast)<p>4. Template Match (slower)<p>5. Probabilistic Match (even slower)<p>Step 5 relies on:<p>1. IDF (Inverse Document Frequency) to identify rare words.<p>2. BOW (Bag Of Words) to accommodate word inversions.<p>3. IDF weighted Levenshtein to safely handle typos.<p>Permission gating is hardcoded into the dataset and enforced for all potentially destructive commands, so it's inherently safer than letting an unpredictable LLM run wild on your machine.<p>- TERMy in operation: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Variance and typo tolerance: <a href="https://www.youtube.com/watch?v=tQvGDk6fkk0" rel="nofollow">https://www.youtube.com/watch?v=tQvGDk6fkk0</a><p>- Copilot integration: <a href="https://www.youtube.com/watch?v=Wzzouhq2a8A" rel="nofollow">https://www.youtube.com/watch?v=Wzzouhq2a8A</a><p>- Advanced features: <a href="https://www.youtube.com/watch?v=qeIp0xePLBg" rel="nofollow">https://www.youtube.com/watch?v=qeIp0xePLBg</a><p>- Source Code: <a href="https://github.com/gioblu/NPC-Forge" rel="nofollow">https://github.com/gioblu/NPC-Forge</a>
Show HN: Open-Source eInk Bike Computer
Hey all, i just launched my Eink Bike computer project and think it is cool.<p>Another tidbit, in the crazy things that AI has done... It has helped create a ANT (common sensor wireless protocol used in workout/biking) implementation for ESP32 by messing around with undocumented registers: <a href="https://github.com/RaemondBW/esp32-ant" rel="nofollow">https://github.com/RaemondBW/esp32-ant</a>