The best Hacker News stories from Show from the past day
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Show HN: Textcase: A Python Library for Text Case Conversion
Show HN: Zig Topological Sort Library for Parallel Processing
I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered.<p>This little library is packed with the following features:<p><pre><code> - Building dependency graph from dependency data.
- Performing topological sort on the dependency graph.
- Generating dependence-free subsets for parallel processing.
- Cycle detection and cycle reporting.</code></pre>
Show HN: Zig Topological Sort Library for Parallel Processing
I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered.<p>This little library is packed with the following features:<p><pre><code> - Building dependency graph from dependency data.
- Performing topological sort on the dependency graph.
- Generating dependence-free subsets for parallel processing.
- Cycle detection and cycle reporting.</code></pre>
Show HN: Zig Topological Sort Library for Parallel Processing
I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered.<p>This little library is packed with the following features:<p><pre><code> - Building dependency graph from dependency data.
- Performing topological sort on the dependency graph.
- Generating dependence-free subsets for parallel processing.
- Cycle detection and cycle reporting.</code></pre>
Show HN: Terminal dashboard that throttles my PC during peak electricity rates
WattWise is a CLI tool that monitors my workstation’s power draw using a smart plug and automatically throttles the CPU & GPUs during expensive Time-of-Use electricity periods. Built with Python, uses PID controllers for smooth transitions between power states. Works with TP-Link Kasa plugs and Home Assistant.
Show HN: Terminal dashboard that throttles my PC during peak electricity rates
WattWise is a CLI tool that monitors my workstation’s power draw using a smart plug and automatically throttles the CPU & GPUs during expensive Time-of-Use electricity periods. Built with Python, uses PID controllers for smooth transitions between power states. Works with TP-Link Kasa plugs and Home Assistant.
Show HN: Offline SOS signaling+recovery app for disasters/wars
A couple of months ago, I built this app to help identify people stuck under rubble.<p>First responders have awesome tools. But in tough situations, even common folks need to help.<p>After what happened in Myanmar, we need something like this that works properly.<p>It has only been tested in controlled environments. It can also be improved; I know BLE is not _that_ effective under rubble.<p>If you have any feedback or can contribute, don't hold back.
Show HN: Offline SOS signaling+recovery app for disasters/wars
A couple of months ago, I built this app to help identify people stuck under rubble.<p>First responders have awesome tools. But in tough situations, even common folks need to help.<p>After what happened in Myanmar, we need something like this that works properly.<p>It has only been tested in controlled environments. It can also be improved; I know BLE is not _that_ effective under rubble.<p>If you have any feedback or can contribute, don't hold back.
Show HN: Offline SOS signaling+recovery app for disasters/wars
A couple of months ago, I built this app to help identify people stuck under rubble.<p>First responders have awesome tools. But in tough situations, even common folks need to help.<p>After what happened in Myanmar, we need something like this that works properly.<p>It has only been tested in controlled environments. It can also be improved; I know BLE is not _that_ effective under rubble.<p>If you have any feedback or can contribute, don't hold back.
Show HN: Qwen-2.5-32B is now the best open source OCR model
Last week was big for open source LLMs. We got:<p>- Qwen 2.5 VL (72b and 32b)<p>- Gemma-3 (27b)<p>- DeepSeek-v3-0324<p>And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models.<p>We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways:<p>- Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error.<p>- Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR.<p>- Gemma-3 (27B) only scored 42.9%. Particularly surprising given that it's architecture is based on Gemini 2.0 which still tops the accuracy chart.<p>The data set and benchmark runner is fully open source. You can check out the code and reproduction steps here:<p>- <a href="https://getomni.ai/blog/benchmarking-open-source-models-for-ocr">https://getomni.ai/blog/benchmarking-open-source-models-for-...</a><p>- <a href="https://github.com/getomni-ai/benchmark" rel="nofollow">https://github.com/getomni-ai/benchmark</a><p>- <a href="https://huggingface.co/datasets/getomni-ai/ocr-benchmark" rel="nofollow">https://huggingface.co/datasets/getomni-ai/ocr-benchmark</a>
Show HN: Qwen-2.5-32B is now the best open source OCR model
Last week was big for open source LLMs. We got:<p>- Qwen 2.5 VL (72b and 32b)<p>- Gemma-3 (27b)<p>- DeepSeek-v3-0324<p>And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models.<p>We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways:<p>- Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error.<p>- Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR.<p>- Gemma-3 (27B) only scored 42.9%. Particularly surprising given that it's architecture is based on Gemini 2.0 which still tops the accuracy chart.<p>The data set and benchmark runner is fully open source. You can check out the code and reproduction steps here:<p>- <a href="https://getomni.ai/blog/benchmarking-open-source-models-for-ocr">https://getomni.ai/blog/benchmarking-open-source-models-for-...</a><p>- <a href="https://github.com/getomni-ai/benchmark" rel="nofollow">https://github.com/getomni-ai/benchmark</a><p>- <a href="https://huggingface.co/datasets/getomni-ai/ocr-benchmark" rel="nofollow">https://huggingface.co/datasets/getomni-ai/ocr-benchmark</a>
Show HN: Duolingo-style exercises but with real-world content like the news
I've been working on a little side project that combines Duolingo-like listening comprehension exercises with real content .<p>Every video is transcribed to get much better transcripts than the closed captions. I filter on high quality transcripts, and afterwards a LLM selects only plausible segments for the exercises. This seems to work well for quality control and seems to be reliable enough for these short exercises.<p>Would love your thoughts!
Show HN: Duolingo-style exercises but with real-world content like the news
I've been working on a little side project that combines Duolingo-like listening comprehension exercises with real content .<p>Every video is transcribed to get much better transcripts than the closed captions. I filter on high quality transcripts, and afterwards a LLM selects only plausible segments for the exercises. This seems to work well for quality control and seems to be reliable enough for these short exercises.<p>Would love your thoughts!
Show HN: Nue – Apps lighter than a React button
Show HN: Nue – Apps lighter than a React button
Show HN: Nue – Apps lighter than a React button
Show HN: I made a C program to create a vanity SHA-1 hash for a text file
Show HN: JavaScript PubSub in 163 Bytes
Show HN: GuMCP – Open-source MCP servers, hosted for free
Hello! We open sourced all our current MCP servers to platforms like Slack, Google sheets, Linear, Perplexity and will be contributing a few more integrations every day to the project.<p>problems we're hoping to solve:<p>- Many people are creating MCP servers for the same apps. They're scattered across different repos but flavors of the same thing. We're making one standardized mono project for all MCP servers.<p>- Startups are charging for hosting MCP servers. This is blocking tons of people from being able to play around with MCP casually. We're hosting them for free.<p>- Non-technical people should be able to use MCP without needing to learn how to clone a repo and set up a venv. We're trying to enable a one click integration if people want to use the free hosted service.<p>The plan is to keep contributing until we have an MCP server for basically every useful app anyone could want.
Show HN: NoteUX – Fast and minimalist note-taking app