Show HN: Onmom – AI meal planner and calorie tracker that works from text/photo https://bit.ly/4ixt0dL

Show HN: Onmom – AI meal planner and calorie tracker that works from text/photo I built OnMom because I was tired of apps like MyFitnessPal being too tedious for meal logging. This one uses AI to analyze meals from quick text or photo input and gives suggestions. It’s free and still super early – would love feedback on what’s missing or confusing! https://bit.ly/3GmJmIY April 22, 2025 at 12:56AM

Show HN: I made TypeScript's type inference more strict (and smarter) https://bit.ly/4it6xP6

Show HN: I made TypeScript's type inference more strict (and smarter) As a TypeScript developer, I often found myself wishing the type system could do more—*especially when omitting or modifying deeply nested properties* inside complex objects and arrays. For instance, what if I want to remove a deeply nested field like `user.profile.email` and also something like `user.posts[ ].meta.shares` from a type? TypeScript doesn't really provide a built-in way to do that. So I built *DeepStrictTypes* — a utility that lets you *omit deeply nested keys*, even inside arrays, with full type inference and strictness. Here’s an example: ```ts type Example = { user: { id: string; profile: { name: string; age: number; email: string; }; posts: { title: string; content: string; meta: { likes: number; shares: number; }; }[]; }; }; // Remove 'user.profile.email' and 'user.posts[ ].meta.shares' type Omitted = DeepStrictOmit< Example, 'user.profile.email' | 'user.posts[*].meta.shares' >; ``` The resulting type: ```ts { user: { id: string; profile: { name: string; age: number; }; posts: { title: string; content: string; meta: { likes: number; }; }[]; }; } ``` Works great for: - Cleaning up types for API responses - Dynamically transforming deeply nested data - Improving type safety when handling structured JSON [ https://bit.ly/3S6gjM1 ]( https://bit.ly/3S6gjM1 ) Would love your feedback or ideas for improvements! https://bit.ly/3GyfgSz April 22, 2025 at 04:47AM

Show HN: Prompt Coded 3D Asteroids https://bit.ly/42GNg6I

Show HN: Prompt Coded 3D Asteroids https://bit.ly/42UUohc April 21, 2025 at 11:55PM

Show HN: I Made the Duolingo for Wine – Wine Bible https://bit.ly/4iw8dY1

Show HN: I Made the Duolingo for Wine – Wine Bible I recently launched Wine Bible, a mobile app for learning about wine through interactive lessons, quizzes and tasting guides. I built it because most wine education is either buried in books or locked behind expensive courses. I wanted a way to help people learn wine the same way they’d learn a language — through daily practice, fun repetition, and interactive lessons. Right now, Wine Bible includes: • A growing library of wine lessons (grapes, regions, wine making, wine business, sparkling wine, fortified wine) • Guided wine tasting with an AI-powered coach • Over 250 grape varieties with their taste notes, origin, history, food pairing and regions Would love feedback from anyone curious about wine, building in edtech, or who’s worked on similar educational apps. https://bit.ly/4jgAaEd April 21, 2025 at 11:58AM

Show HN: Comparelists.org – Instantly Compare Two Lists, Find Differences https://bit.ly/3Y4ZiWb

Show HN: Comparelists.org – Instantly Compare Two Lists, Find Differences Hey HN, I got tired of manually comparing two lists (think: emails, product SKUs, code, whatever) and built CompareLists.org to make it painless. You just paste your two lists, hit compare, and instantly see what’s unique to each list, what matches, and any duplicates. It handles thousands of lines, works right in your browser (no data leaves your device), and you can export results as CSV/TXT/JSON. There are options for case sensitivity, whitespace, and more. It’s free and there’s no signup. I’d love for you to try it out and let me know what you think—or if there’s a feature you wish it had. Feedback (and bug reports) super welcome! Thanks! https://bit.ly/4jmbSJc April 21, 2025 at 01:25AM

Show HN: Keep your PyTorch model in VRAM by hot swapping code https://bit.ly/3GuYVxX

Show HN: Keep your PyTorch model in VRAM by hot swapping code https://bit.ly/3Y7ANaO April 21, 2025 at 01:21AM

Show HN: LLM Shell Tools – AI-powered command line helpers(open source + local) https://bit.ly/4435FwW

Show HN: LLM Shell Tools – AI-powered command line helpers(open source + local) Hey HN, I ve been playing around with LLM integrations for the shell and I have a tiny set of shell tools that use LLMs to improve my CLI experience. I’ve been using it while building and it’s already proving usefu to me. Right now it includes: 1. Command Not Found Hook Catches “command not found” errors and asks an LLM to suggest what might have gone wrong (e.g. typos, missing tools, etc), works for bash and zsh 2. Git Commit LLM A wrapper for git commit that suggests clearer commit messages based on your staged changes. It’s helped me avoid a bunch of lazy messages like “fix stuff”. Prereqs: • OpenAI API key • Bash or Zsh • curl and jq Still minimal and hacky—but I’d love feedback or ideas. Especially curious if others would find this helpful or have feature suggestions. Repo: https://bit.ly/42P6Yyt https://bit.ly/42P6Yyt April 20, 2025 at 09:04AM

Show HN: Hyprnote – VSCode for Meeting Notes (Open-Source and Local-First) https://bit.ly/440Wjlt

Show HN: Hyprnote – VSCode for Meeting Notes (Open-Source and Local-First) Hi HN. This is Yujong from Hyprnote. Hyprnote is an open-source, local-first macOS app that you can use for meetings. - It uses Mic + System Audio for audio sources. - Whisper (small-en-q8) + Llama (3b-q8) for transcription + summarization. Some interesting bits: - Extension & plugin system that you can use to create widgets (inspired by VSCode). - Built with Libsql. Will enable DB sync across cloud/devices in the future. There are still some rough edges, but I thought it is worth sharing the concept and getting feedback. We have an interesting onboarding video. Please try it out! ```bash brew tap fastrepl/hyprnote && brew install hyprnote --cask ``` If you want to see how it looks first - https://www.youtube.com/watch?v=-apfueHQHBk https://bit.ly/4jfgS25 April 20, 2025 at 05:39AM

Show HN: EyesOff – Alerts you when someone peeps at your screen https://bit.ly/42pXkSY

Show HN: EyesOff – Alerts you when someone peeps at your screen Hey HN, this is Yusuf. I've built a privacy focused macOS app which makes use of a locally running neural network (YuNet), to notify you if other people are looking at your screen. YuNet runs fully on-device with no data leaving your computer. The app utilises a 230kb facial detection model, which takes images from your webcam and checks for any faces entering the viewing field of your webcam. If the number of faces exceeds the threshold an alert will be shown. Built with Python + PyQt, the YuNet code comes from OpenCV. Currently it's a macOS app only, however I will be widening access to windows devices soon. Link + Source code: https://bit.ly/4cLFD3O I'd love your feedback on the app, I look forward to reading your comments on thoughts and future directions you'd like to see! https://bit.ly/4cLFD3O April 19, 2025 at 08:44PM

Show HN: Make your bookmarks smarter with AI https://bit.ly/4ihLn6d

Show HN: Make your bookmarks smarter with AI https://apple.co/42c6CBP April 19, 2025 at 04:55AM

Show HN: New world record – verified Goldbach Conjecture up to 4*10^18+7*10^13 https://bit.ly/4jDGGVx

Show HN: New world record – verified Goldbach Conjecture up to 4*10^18+7*10^13 Achieved a new world record in verifying the Goldbach Conjecture using grid computing, by extending the verification up to 4 quadrillion (4×10¹⁸) + 70 trillion (7×10¹³). My grid computing system - Gridbach is a cloud-based distributed computing system accessible from any PC or smartphone. It requires no login or app installation. The high-performance WASM (WebAssembly) binary code is downloaded as browser content, enabling computation on the user’s browser. [Website] https://bit.ly/42ExN7c [Medium] https://bit.ly/4iqgCMu... https://bit.ly/4426ia2 April 19, 2025 at 07:11AM

Show HN: I made a game using mazes generated by ChatGPT https://bit.ly/3YGX5QX

Show HN: I made a game using mazes generated by ChatGPT https://bit.ly/3YEBQzb April 18, 2025 at 11:59PM

Show HN: I rebuilt my AI browser game using 100 pieces of feedback from HN https://bit.ly/4jDaMbx

Show HN: I rebuilt my AI browser game using 100 pieces of feedback from HN In February I posted a rough AI browser‑game prototype and asking game dev tips. Then I got about 100 comments that really helped. I went back, rewrote most of it, and here’s the current state: What’s new - Endless world with mountains, lakes, and altitude‑based snow - Living systems – trees grow, bears roam and charge if you trespass - View switch – press V for first‑ or third‑person on the fly - Guest mode – no login, just play - Type‑anything crafting – enter “wooden glider,” “big wall,” “steak,” etc with proper materials; AI invents the recipe and stats Still many things are raw and not-ready, but I want to keep sharing progress and gathering feedbacks. If you try it, I’d love to hear where it falls apart first and whether the core loop feels fun. Thanks for any feedback! https://bit.ly/4jIhD3Q April 18, 2025 at 09:16AM

Show HN: I built an AI-powered packaged food ingredients list vegetarian scanner https://bit.ly/42NPD94

Show HN: I built an AI-powered packaged food ingredients list vegetarian scanner Hey HN. I have been a vegetarian for the past ten years. At the grocery store, I often find myself manually scanning the ingredient lists on packaged foods, relying on my own knowledge and eyesight to identify non-vegetarian or unfamiliar ingredients that might affect my diet. That's why I built Veri.fy, a go-to vegetarian food scanner powered by Google Vision API and Gemini AI. It helps scan ingredient lists on packaged foods and classifies each ingredient as vegetarian or not. Have a quick look and let me know your thoughts. Reynard https://bit.ly/3RWcnNU April 18, 2025 at 08:06AM

Show HN: Happy Little Monoliths, First Edition https://bit.ly/3YCvvnM

Show HN: Happy Little Monoliths, First Edition https://bit.ly/4cCS3Ld April 18, 2025 at 05:44AM

Show HN: Stadium Crowd Scale Visualise Large Groups of People https://bit.ly/3Y7iPFn

Show HN: Stadium Crowd Scale Visualise Large Groups of People Visualize large numbers of people using 100,000-person capacity stadiums. Causal Vibe-coded WIP with Three.js looking for feedback :) https://bit.ly/4cEi5xE April 14, 2025 at 10:55AM

Show HN: Git-chain: A way to manage branch dependencies in Git https://bit.ly/42MAy7D

Show HN: Git-chain: A way to manage branch dependencies in Git https://bit.ly/4lFTyMS April 17, 2025 at 08:42AM

Show HN: Elfconv – Linux Apps to High-Performance WASM Binary Translator https://bit.ly/4jlYIMs

Show HN: Elfconv – Linux Apps to High-Performance WASM Binary Translator This post introduces elfconv, a binary translator that converts Linux applications into WebAssembly. repo: https://bit.ly/3EpuLf3 Recently, performance has improved dramatically. In our LINPACK benchmark, the Wasm generated from ELF/AArch64 by elfconv now runs at roughly 60–80% of the performance of the Wasm directly compiled from source code. This shows that elfconv can produce WebAssembly with practical, real‑world performance! Furthermore, compared to QEMU running in the browser, it achieves approximately 68× the performance. Benchmark test: https://bit.ly/4jEFCAQ QEMU in the browser: https://bit.ly/3Gp0Kwo Please give it a try, and feel free to submit any issues or pull requests! https://bit.ly/42OnLld April 17, 2025 at 07:48AM

Show HN: We made a VS Code extension to recreate a debugger experience from logs https://bit.ly/3YAroIV

Show HN: We made a VS Code extension to recreate a debugger experience from logs A month ago [1], we made an MCP server so Cursor can debug Node.js on its own. We emailed every person that starred our repository [2] and learnt that frontend devs really want to give Cursor access to browser logs, and that backend devs (our intended audience) do not use debuggers nearly as much as we thought. We interviewed friends across startups and discovered that they use logs to debug, because they can’t run services locally on their machine. The services (1) require too much disk, RAM, or CPUs to run locally, (2) have too many service dependencies (think microservices), or (3) are a faff to instantiate locally with a debugger. Instead, our friends instrument their services, deploy them to staging environments via Kubernetes, and then query the logs via data stores (think Grafana, Axiom.co, Google Cloud Logging, etc) or directly (think Kubernetes logs). We thought: "What if we could recreate a debugger-like experience from logs?". That would save them from browsing logs and trying to make sense of them outside the context of the code base. We looked into it and made a VS code extension that lets you (1) import logs, (2) go to the line of code associated with a log, and navigate up/down the probable call stack associated with a log. It's a prototype, but if you're interested in trying it out, we'd love some feedback! GitHub: github.com/hyperdrive-eng/traceback --- References: [1]: https://bit.ly/4iBtwZ1 [2]: 140 Github stars, 69 emails sent (the rest were bots), 19 responses received (= 28% response conversion), 4 meetings held (= 21% meeting conversion). https://bit.ly/3Y1eofj April 17, 2025 at 12:07AM

Show HN: Landing Lab – A growing collection of landing page templates https://bit.ly/3Y1U2Tj

Show HN: Landing Lab – A growing collection of landing page templates I've gathered the landing pages I've built over time and am adding new one every week. Each template comes with a complete lorem ipsum structure that you can easily customize for any type of business. Pricing is simple: $5 per template or $19 for 1-year access to all current and future templates. Built with Next.js and Tailwind CSS - clean, fast, and optimized for conversions. https://bit.ly/4lyNxBo April 16, 2025 at 01:33PM