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Show HN: Browser MCP – Automate your browser using Cursor, Claude, VS Code

Show HN: LocalScore – Local LLM Benchmark

Hey Folks!<p>I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations.<p>Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community.<p>For more check out: - Website: <a href="https://localscore.ai" rel="nofollow">https://localscore.ai</a> - Demo video: <a href="https://youtu.be/De6pA1bQsHU" rel="nofollow">https://youtu.be/De6pA1bQsHU</a> - Blog post: <a href="https://localscore.ai/blog" rel="nofollow">https://localscore.ai/blog</a> - CLI Github: <a href="https://github.com/Mozilla-Ocho/llamafile/tree/main/localscore" rel="nofollow">https://github.com/Mozilla-Ocho/llamafile/tree/main/localsco...</a> - Website Github: <a href="https://github.com/cjpais/localscore" rel="nofollow">https://github.com/cjpais/localscore</a>

Show HN: LocalScore – Local LLM Benchmark

Hey Folks!<p>I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations.<p>Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community.<p>For more check out: - Website: <a href="https://localscore.ai" rel="nofollow">https://localscore.ai</a> - Demo video: <a href="https://youtu.be/De6pA1bQsHU" rel="nofollow">https://youtu.be/De6pA1bQsHU</a> - Blog post: <a href="https://localscore.ai/blog" rel="nofollow">https://localscore.ai/blog</a> - CLI Github: <a href="https://github.com/Mozilla-Ocho/llamafile/tree/main/localscore" rel="nofollow">https://github.com/Mozilla-Ocho/llamafile/tree/main/localsco...</a> - Website Github: <a href="https://github.com/cjpais/localscore" rel="nofollow">https://github.com/cjpais/localscore</a>

Show HN: I built a Rust crate for running unsafe code safely

Show HN: I built a Rust crate for running unsafe code safely

Show HN: Pets for Cursor

I created an extension which adds a custom pet to your editor (Cursor/ VS Code/ Windsurf compatible).<p><a href="https://github.com/blairjordan/codachi" rel="nofollow">https://github.com/blairjordan/codachi</a><p>As you type, your pet hatches, acquires XP and evolves.<p>A playing card is generated when your pet evolves.<p>All pixel art is original and hand/ mouse drawn.

Show HN: iPhone 2005 weird "Blob Keyboard" simulator

Hi HN,<p>I teach tech design history, and one of the key stories I cover is the development of the original iPhone keyboard by Ken Kocienda. Reading about it in his book "Creative Selection" is great, but I wanted my students (and now you!) to actually <i>feel</i> this step in the process.<p>So, I built a web simulator of the "Blob Keyboard", Kocienda's very first attempt at a touchscreen keyboard that actually works, from September 2005:<p>Try the Blob Keyboard: <a href="https://juliendorra.github.io/blob-keyboard-simulator/blob-keyboard-simulator.html" rel="nofollow">https://juliendorra.github.io/blob-keyboard-simulator/blob-k...</a><p>- Tap for the middle letter<p>- Swipe left or right for the side letters<p>More on the github repo: <a href="https://github.com/juliendorra/blob-keyboard-simulator">https://github.com/juliendorra/blob-keyboard-simulator</a><p>The Blob Keyboard prototype emerged during a UX crisis for iPhone team (their software keyboard just didn't work at all, fingers being too big, and the Newton failure loomed over them), highlighting how innovation is rarely a straight path. It was developed on a tethered touchscreen display codenamed "Wallaby".<p>To make this simulator as authentic as possible, I referenced images from Kocienda's book and even got direct feedback and guidance from Ken Kocienda himself on Bluesky.<p>What to expect (or… what not to expect):<p>This is a reconstruction of a very early prototype with limitations reflecting that specific moment. The goal was to test first if typing with accuracy was even possible, as all the rest was moot if it failed!<p>It's NOT QWERTY: They were still hoping to get us out of QWERTY, but then familiarity won.<p>No Backspace: You can't delete.<p>No Cursor Movement: The text field is just a simple display.<p>No Caps or Numbers: Only lowercase letters.<p>No Smooth Animations: Keys just "pop" instantly when pressed. Kocienda noted that your eye fills in the gaps, giving a sense of movement.<p>Best Experience:<p>While it works with a mouse/trackpad on desktop, it's designed for touchscreens to better replicate the original Wallaby hardware interaction. Use it on your phone!<p>This project aims to provide a tangible glimpse into a turning point moment in iPhone development and the iterative nature of design. It's like stepping back in time and trying out that early demo on Kocienda's desk.<p>I would love to hear your reactions and thoughts on experiencing this piece of UI history! What other significant prototype do you wish you could experience?

Show HN: iPhone 2005 weird "Blob Keyboard" simulator

Hi HN,<p>I teach tech design history, and one of the key stories I cover is the development of the original iPhone keyboard by Ken Kocienda. Reading about it in his book "Creative Selection" is great, but I wanted my students (and now you!) to actually <i>feel</i> this step in the process.<p>So, I built a web simulator of the "Blob Keyboard", Kocienda's very first attempt at a touchscreen keyboard that actually works, from September 2005:<p>Try the Blob Keyboard: <a href="https://juliendorra.github.io/blob-keyboard-simulator/blob-keyboard-simulator.html" rel="nofollow">https://juliendorra.github.io/blob-keyboard-simulator/blob-k...</a><p>- Tap for the middle letter<p>- Swipe left or right for the side letters<p>More on the github repo: <a href="https://github.com/juliendorra/blob-keyboard-simulator">https://github.com/juliendorra/blob-keyboard-simulator</a><p>The Blob Keyboard prototype emerged during a UX crisis for iPhone team (their software keyboard just didn't work at all, fingers being too big, and the Newton failure loomed over them), highlighting how innovation is rarely a straight path. It was developed on a tethered touchscreen display codenamed "Wallaby".<p>To make this simulator as authentic as possible, I referenced images from Kocienda's book and even got direct feedback and guidance from Ken Kocienda himself on Bluesky.<p>What to expect (or… what not to expect):<p>This is a reconstruction of a very early prototype with limitations reflecting that specific moment. The goal was to test first if typing with accuracy was even possible, as all the rest was moot if it failed!<p>It's NOT QWERTY: They were still hoping to get us out of QWERTY, but then familiarity won.<p>No Backspace: You can't delete.<p>No Cursor Movement: The text field is just a simple display.<p>No Caps or Numbers: Only lowercase letters.<p>No Smooth Animations: Keys just "pop" instantly when pressed. Kocienda noted that your eye fills in the gaps, giving a sense of movement.<p>Best Experience:<p>While it works with a mouse/trackpad on desktop, it's designed for touchscreens to better replicate the original Wallaby hardware interaction. Use it on your phone!<p>This project aims to provide a tangible glimpse into a turning point moment in iPhone development and the iterative nature of design. It's like stepping back in time and trying out that early demo on Kocienda's desk.<p>I would love to hear your reactions and thoughts on experiencing this piece of UI history! What other significant prototype do you wish you could experience?

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual)

Hi HN,<p>I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown.<p>Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks<p>Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement.<p>GitHub: <a href="https://github.com/ses4255/Versatile-OCR-Program">https://github.com/ses4255/Versatile-OCR-Program</a>

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual)

Hi HN,<p>I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown.<p>Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks<p>Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement.<p>GitHub: <a href="https://github.com/ses4255/Versatile-OCR-Program">https://github.com/ses4255/Versatile-OCR-Program</a>

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual)

Hi HN,<p>I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown.<p>Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks<p>Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement.<p>GitHub: <a href="https://github.com/ses4255/Versatile-OCR-Program">https://github.com/ses4255/Versatile-OCR-Program</a>

Show HN: I built a word game. My mom thinks it's great. What do you think?

Show HN: I built a word game. My mom thinks it's great. What do you think?

Show HN: I built a word game. My mom thinks it's great. What do you think?

Show HN: I built a word game. My mom thinks it's great. What do you think?

Show HN: Clawtype v2.1 – a one-hand chorded USB keyboard and mouse [video]

Written in Rust (embassy), running on a SparkFun ProMicro RP2040 board, with an MPU6050 gyroscope. Based on the Chordite idea from John W. McKown (<a href="https://web.archive.org/web/20220201061603/http://chordite.com/" rel="nofollow">https://web.archive.org/web/20220201061603/http://chordite.c...</a>). Intended for use with XR glasses I recently bought. Currently my typing speed is still rather slow, but my skill is graduably improving and at a noticeable pace, and I can and do some vim coding in my hobby time. I plan to try and do a wireless (BLE) version next, hopefully running off a single AA NiMH battery. The code is at: <a href="https://github.com/akavel/clawtype">https://github.com/akavel/clawtype</a>

Show HN: Clawtype v2.1 – a one-hand chorded USB keyboard and mouse [video]

Written in Rust (embassy), running on a SparkFun ProMicro RP2040 board, with an MPU6050 gyroscope. Based on the Chordite idea from John W. McKown (<a href="https://web.archive.org/web/20220201061603/http://chordite.com/" rel="nofollow">https://web.archive.org/web/20220201061603/http://chordite.c...</a>). Intended for use with XR glasses I recently bought. Currently my typing speed is still rather slow, but my skill is graduably improving and at a noticeable pace, and I can and do some vim coding in my hobby time. I plan to try and do a wireless (BLE) version next, hopefully running off a single AA NiMH battery. The code is at: <a href="https://github.com/akavel/clawtype">https://github.com/akavel/clawtype</a>

Show HN: Clawtype v2.1 – a one-hand chorded USB keyboard and mouse [video]

Written in Rust (embassy), running on a SparkFun ProMicro RP2040 board, with an MPU6050 gyroscope. Based on the Chordite idea from John W. McKown (<a href="https://web.archive.org/web/20220201061603/http://chordite.com/" rel="nofollow">https://web.archive.org/web/20220201061603/http://chordite.c...</a>). Intended for use with XR glasses I recently bought. Currently my typing speed is still rather slow, but my skill is graduably improving and at a noticeable pace, and I can and do some vim coding in my hobby time. I plan to try and do a wireless (BLE) version next, hopefully running off a single AA NiMH battery. The code is at: <a href="https://github.com/akavel/clawtype">https://github.com/akavel/clawtype</a>

Show HN: Clawtype v2.1 – a one-hand chorded USB keyboard and mouse [video]

Written in Rust (embassy), running on a SparkFun ProMicro RP2040 board, with an MPU6050 gyroscope. Based on the Chordite idea from John W. McKown (<a href="https://web.archive.org/web/20220201061603/http://chordite.com/" rel="nofollow">https://web.archive.org/web/20220201061603/http://chordite.c...</a>). Intended for use with XR glasses I recently bought. Currently my typing speed is still rather slow, but my skill is graduably improving and at a noticeable pace, and I can and do some vim coding in my hobby time. I plan to try and do a wireless (BLE) version next, hopefully running off a single AA NiMH battery. The code is at: <a href="https://github.com/akavel/clawtype">https://github.com/akavel/clawtype</a>

Show HN: uWrap.js – A faster and more accurate text wrapping util in < 2KB

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