Show HN: NoteUX – Fast and minimalist note-taking app https://ift.tt/02op4PL

Show HN: NoteUX – Fast and minimalist note-taking app https://www.noteux.com/ March 27, 2025 at 04:49PM

Show HN: Million Dollar Homepage is back, but there's a twist https://ift.tt/3bJZe5d

Show HN: Million Dollar Homepage is back, but there's a twist Check out yourself. https://ift.tt/VfiaAFK April 1, 2025 at 12:21AM

Show HN: TypeScript as a proof assistant for intuitionistic propositional logic https://ift.tt/JYdjIM2

Show HN: TypeScript as a proof assistant for intuitionistic propositional logic https://ift.tt/Lue2tFd March 31, 2025 at 11:22PM

Show HN: I automate YT Shorts using this https://ift.tt/O0I7u43

Show HN: I automate YT Shorts using this https://instavidai.app March 31, 2025 at 05:39AM

Show HN: PipZap – Zapping the mess out of the Python dependencies https://ift.tt/y7GEJXg

Show HN: PipZap – Zapping the mess out of the Python dependencies https://ift.tt/pG1xt0H March 31, 2025 at 04:35AM

Show HN: Chip-8 emulator written in JavaScript https://ift.tt/uoIY2P1

Show HN: Chip-8 emulator written in JavaScript https://ift.tt/DYtNdXT March 31, 2025 at 01:14AM

Show HN: Job Application Bot by Ollama AI https://ift.tt/pHcndxP

Show HN: Job Application Bot by Ollama AI JobHuntr.fyi is a macOS desktop app that uses Ollama-powered AI to apply for jobs on LinkedIn—automatically, 24/7. No OpenAI API key required. https://ift.tt/f5pHzx2 March 30, 2025 at 01:13AM

Show HN: I implemented Snake in a tmux config file https://ift.tt/4r15MPR

Show HN: I implemented Snake in a tmux config file https://ift.tt/a60GiDk March 26, 2025 at 01:37PM

Show HN: An Almost Free, Open Source TURN Server https://ift.tt/BHNlkDS

Show HN: An Almost Free, Open Source TURN Server Hi HN, I have been messing around with WebRTC for a few years now but when it comes to the TURN server I never quite got to my gold standard of free, self-hosted and open source. I decided to give it a go using Oracle Cloud Infrastructure's free tier, meaning that my total spend got down to domain name hosting. I know plenty of people have been burnt by Oracle in the past, but I have had servers running on the free tier for 5 years now without so much as a hiccup. Regardless, the concepts will be the same using any cloud based server. This is the first time I've written up an end-to-end technical how-to like this and the audience I am writing for is really myself - I know just enough about networks and web dev and Linux, etc to get all this running and there are plenty of snippets out there on the web that tell you how to do one thing or another, but nowhere that puts it all together in one place so if I'm explaining what is obvious to you, my apologies - like I say, I'm writing to myself here. I don't know that this even is a Show HN - @dang, if it isn't, please feel free to recategorise/edit the title. @Everybody else, I am happy to answer questions if I can but please bear in mind that I am not claiming to be an expert on any of the tech gathered together to make this work. https://ift.tt/YDpe21R March 29, 2025 at 04:16AM

Show HN: zxc – terminal TLS intercepting proxy in Rust with tmux and Vim as UI https://ift.tt/la0L5sA

Show HN: zxc – terminal TLS intercepting proxy in Rust with tmux and Vim as UI - Disk based storage. - Custom http/1.1 parser to send malformed requests. - http/1.1 and websocket support. Proxy: https://ift.tt/QkARqwN Vim: https://ift.tt/iKHf1om https://ift.tt/QkARqwN March 29, 2025 at 12:31AM

Show HN: Context7 – LLM Code Snippets from Docs in Minutes https://ift.tt/hpRbwS0

Show HN: Context7 – LLM Code Snippets from Docs in Minutes https://context7.com/ March 28, 2025 at 11:00PM

Show HN: A FlashAttention backwards-over-backwards pass https://ift.tt/0lUPcax

Show HN: A FlashAttention backwards-over-backwards pass https://ift.tt/Cgb7FqL March 29, 2025 at 12:43AM

Show HN: My tiny web shell on my local PC https://ift.tt/Ec9Oauw

Show HN: My tiny web shell on my local PC https://ift.tt/aiNyALv March 28, 2025 at 01:34AM

Show HN: Dish: A lightweight HTTP and TCP socket monitoring tool written in Go https://ift.tt/G8s51rf

Show HN: Dish: A lightweight HTTP and TCP socket monitoring tool written in Go dish is a lightweight, 0 dependency monitoring tool in the form of a small binary executable. Upon execution, it checks the provided sockets (which can be provided in a JSON file or served by a remote JSON API endpoint). The results of the check are then reported to the configured channels. It started as a learning project and ended up proving quite handy. Me and my friend have been using it to monitor our services for the last 3 years. We have refactored the codebase to be a bit more presentable recently and thought we'd share on here! The currently supported channels include: - Telegram - Pushgateway for Prometheus - Webhooks - Custom API endpoint https://ift.tt/T5NafJj https://ift.tt/T5NafJj March 28, 2025 at 01:57AM

Show HN: Xorq – open-source Python-first Pandas-style pipelines https://ift.tt/iFAE6sO

Show HN: Xorq – open-source Python-first Pandas-style pipelines Hi HN, Dan, Hussain and Daniel here… After years of struggling with data pipelines that worked in notebooks but failed in production, we decided to do something about it. We created xorq to eliminate the constant headaches of SQL/pandas impedance mismatch, runtime debugging, wasteful recomputations and unreliable research-to-production deployments that plague traditional pandas-style pipeline workflows. xorq is built on Ibis and DataFusion. We’d love your feedback and contributions. xorq is [Apache 2.0 licensed]( https://ift.tt/1VZT7tH ) to encourage open collaboration. Repo : https://ift.tt/rHbinCh Docs : https://docs.xorq.dev Roadmap Issues : https://ift.tt/rHbinCh You can get started `pip install xorq`. Or, if you use nix, you can simply run `nix run github:xorq-labs/xorq` and drop into an IPython shell. Demo video: https://youtu.be/jUk8vrR6bCw Here are some vignettes to look into next: 1. MCP Server + Flight + XGBoost: https://ift.tt/KtmrFo6 2. 1 DuckDB + 2 Writers + 1 Reader: https://ift.tt/1ScLgEO 3. OpenAI UDF: https://ift.tt/DBM5gHV Some features to note: - Ibis-based multi-engine expression system: effortless engine-to-engine streaming - Cache expressions with `.cache` operator - Portable DataFusion-backed UDF engine with first class support for pandas dataframes - Serialize Expressions to and from YAML - Easily build Flight end-points by composing UDFs thanks for checking this out, and we’re here to answer any questions! https://ift.tt/e0cQOWC March 27, 2025 at 10:57PM

Show HN: A difficult game to test your logic https://ift.tt/QfDgmc7

Show HN: A difficult game to test your logic https://ift.tt/y2gWKCF March 24, 2025 at 07:17PM

Show HN: Taildrops – Free Tailwind CSS 4 code snippets https://ift.tt/sphARVl

Show HN: Taildrops – Free Tailwind CSS 4 code snippets Free Tailwind CSS 4 Components — and this is just the beginning! I’ve been sharing a bunch of free Tailwind CSS components on X, but honestly, they just keep getting buried in the timeline. It’s super frustrating when something you put effort into disappears so quickly. That’s why I decided to put everything on a website. Now you can easily find all the components I’ve shared in one place, and I’ll keep adding any new ones I create. It feels good to have a space where they won’t get lost. Check them out if you’re interested — I’d love to hear what you think! https://taildrops.com/ March 27, 2025 at 02:59AM

Show HN: Prompteus – Visual workflow builder for shipping better AI features https://ift.tt/PcCEuj2

Show HN: Prompteus – Visual workflow builder for shipping better AI features We built Prompteus to help devs build and manage AI features without the mess — no more prompt spaghetti or scattered "hardcoded" AI API calls. Design workflows visually, deploy as APIs, and get built-in caching, logging, rate limits, and model orchestration (OpenAI, Anthropic, Mistral, etc.). It’s like Zapier for LLMs — but dev-friendly. Free up to 50k requests/month. https://prompteus.com March 26, 2025 at 11:20PM

Show HN: I built a chatbot that lets you talk to any GitHub repository https://ift.tt/hPRE9j3

Show HN: I built a chatbot that lets you talk to any GitHub repository https://ift.tt/M4Cu5Ug March 26, 2025 at 12:43AM

Show HN: Feudle – a daily puzzle game built with AI https://ift.tt/6byg50Q

Show HN: Feudle – a daily puzzle game built with AI I’m a game show nerd who wanted to build a game, despite not being a developer. Using ChatGPT, I created Feudle – a blend of Family Feud and Wordle. Each day, there’s a survey question, and players try to guess the most popular responses—but the twist is that today’s answers come from real players who played yesterday. After playing, you can vote on or submit new questions, shaping future Feudles. If I were to start again, I’d explore newer AI-assisted coding tools like Cursor, but overall, this was a great learning experience. Hopefully, this inspires others to experiment with AI tools to bring their ideas to life. Any feedback? Any tips for AI tools I should explore when iterating on the game? https://feudlegame.com March 25, 2025 at 08:12PM

Show HN: Fingernotes – handwritten notes which become their own preview image https://ift.tt/D6aWFd5

Show HN: Fingernotes – handwritten notes which become their own preview image Hi HN, I've lurked here for ages and decided to come out of the shadows for my latest side project which reached the point where it’s sort of fun to use and hopefully not totally embarrassing to share. Hacking fingernotes.com together over a couple of weeks was a creative outlet when work got stressful. I think of it as digital sticky notes. The goal was to make notes with a personal touch that are easy to write and share. I also wanted them to appear as their own link preview image on supported platforms. That way when you send the link to a note, the person sees the message without following the link. Let me know what you think! I drew inspiration from Apple's quick notes: low latency made scribbling a pleasure, and sending notes to friends felt warm and original compared to a typical exchange. It was also intriguing to see my handwriting printed in a message chat. In a time of rising artificial generation, spreading my clumsy handwriting feels like an act of rebellion. But I dislike the light background in Apple notes, which I don't think you can change when sharing. More importantly, no one sent a note back. With fingernotes the low-friction interaction is meant to make creating notes simple. I also find the image previews aesthetically more pleasing. For implementation, fingernotes are publicly accessible links to collections of strokes that have been persisted to a Cloudflare D1 database and rendered in SVG. Like pen on a sticky note, each stroke is immutable but anyone can add to a note if they have the link. You can't undo strokes, so if you mess up your note just throw it out and start a new one. Having append-only collections avoids handling order of operations when multiple people edit the same note. Hosting it as a Cloudflare worker made it easy to get up and running. There's some latency in Safari on iOS which is absent on desktop. It's noticeable compared to Apple notes and I'm afraid it's a limitation of the browser. https://ift.tt/Dt5i1YP March 23, 2025 at 12:02PM

Show HN: RT – a Rust-powered Twitch and YouTube front end with ad-blocking https://ift.tt/ck6QISj

Show HN: RT – a Rust-powered Twitch and YouTube front end with ad-blocking A minimal Rust & SvelteKit frontend for Twitch and YouTube—with ad-blocking. https://ift.tt/lZK5LOj March 25, 2025 at 04:04AM

Show HN: XYMake – Turn Your Posts into LLM-Ready Data https://ift.tt/DW53kNx

Show HN: XYMake – Turn Your Posts into LLM-Ready Data I just built XYMake ( https://xymake.com ), a tool that lets you convert any X (Twitter) thread into clean markdown, making your conversations accessible for LLMs, MCPs, or any API. ## What it does: - Transforms any X thread URL into markdown by simply changing "x.com" to "xymake.com" in the URL - OAuth2 login to "free your data" and make your threads available - Auto-generates OG images with token counts and participant info for easy sharing - Serves different content types based on whether the request is from a crawler, browser, or agent ## Why I built it: I believe people should have the right to own and use their own data. While X/Twitter uses our content to train Grok, we should be able to leverage our own conversations for similar purposes. I built this as a proof of concept in one day (what started as a 30-minute experiment turned into a 10-hour flow state). It's built entirely on Cloudflare Workers and uses some interesting techniques to serve different content types to different consumers. ## Technical highlights: - Request identification to serve HTML+OG images to crawlers while providing raw markdown to agents - Preloading OG image generation using ctx.waitUntil for near-instant loading when shared - Optimized OG image rendering across platforms using workers-og Try it out with any X thread - just replace "x.com" with "xymake.com"! Example: https://ift.tt/O5DtQVF Feedback welcome! This is just the beginning of what's possible when we reclaim our conversational data. https://xymake.com March 25, 2025 at 12:32AM

Show HN: Prefix any URL with `pure.md/` to get unblocked Markdown https://ift.tt/cJGz9KY

Show HN: Prefix any URL with `pure.md/` to get unblocked Markdown https://pure.md March 24, 2025 at 10:06PM

Show HN: Tascli, a simple CLI task and record manager https://ift.tt/n5vOeGH

Show HN: Tascli, a simple CLI task and record manager https://ift.tt/AXyNSeO March 25, 2025 at 12:02AM

Show HN: LinkedIn sucks, so I built a better one https://ift.tt/YO9v5kM

Show HN: LinkedIn sucks, so I built a better one LinkedIn feels more like Facebook every day — noisy feeds, fake engagement, and everyone shouting into the void. Thats why I used to built a personal microsite on Squarespace and uploaded a video resume to YouTube to stand out - it helped me land interviews and get into Big Tech. But I always wondered: why isn’t there a platform designed to help you stand out like that? So I built OpenSpot: a public, curated platform where you can showcase who you are — with video, audio, and proof of your work. No endless feeds. No humblebrags. Just real people open to new opportunities. We’ve already onboarded a few companies, so recruiters can reach out to you directly. But you can also connect with other standout folks and supercharge your network. Just upload your resume and we´ll automatically generate your profile in under 1 minute. It’s early, but feels like something people actually need. Would love your thoughts. https://ift.tt/0oEcI8A March 24, 2025 at 12:22AM

Show HN: Flappy Gopher with Online Ranking – A Go/WebAssembly Browser Game https://ift.tt/VU4tKCG

Show HN: Flappy Gopher with Online Ranking – A Go/WebAssembly Browser Game I implemented a Flappy Bird style game using Go and the Ebitengine (2D Game Engine), compiled to WebAssembly to run in the browser. Tech stack: - Frontend: Go + Ebitengine -> WebAssembly - Backend: Cloudflare Pages Functions - Database: Cloudflare D1 Features: - Daily/weekly/monthly online leaderboards - Jump history recording and verification to prevent cheating - Fully serverless architecture to minimize operational costs Source code: https://ift.tt/sqL2hba This started as an experimental project to create a game in Go and compile it to WebAssembly for browser play. By leveraging Cloudflare's edge computing, I've been able to deploy it globally with low latency. Feedback and suggestions for improvement are welcome! https://ift.tt/yhCgK38 March 23, 2025 at 05:42PM

Show HN: DAPS – Prime-Adaptive Search for Discontinuous Optimization Problems https://ift.tt/v7gHQO3

Show HN: DAPS – Prime-Adaptive Search for Discontinuous Optimization Problems I've been working on a global optimization algorithm that uses prime number-based adaptive grid search. It dynamically adjusts resolution by increasing or decreasing prime numbers as "resolution knobs" — allowing it to handle discontinuities, sharp valleys, and chaotic landscapes better than naive grid search. The repo includes Python and PyTorch-compatible versions, benchmarks against grid search, and a research paper. Would love feedback from optimization, ML, or numerical analysis folks. Curious if anyone sees potential applications or improvements. GitHub: https://ift.tt/Gkz2NOT Paper: https://ift.tt/iL7jltJ.... https://ift.tt/Gkz2NOT March 23, 2025 at 11:19AM

Show HN: I build a tool that will tell you what to respond in negotations https://ift.tt/q8Az7Tj

Show HN: I build a tool that will tell you what to respond in negotations After reading the book Getting to Yes, I really want some tool to help me negotiate more efficiently without having to memorize everything principle. You start by putting in interests of each party, then you can explore different functions: how to respond to the other party, explore objective criteria out there or brainstorm more negotiation options. Still working on it! Leave me feedback if you have any suggestions! https://ift.tt/Ln1PdK0 March 23, 2025 at 03:31AM

Show HN: I Made a Language to Be JavaScript's Nanny https://ift.tt/CZqtoQa

Show HN: I Made a Language to Be JavaScript's Nanny I'm working on a language called Chicory. It's yet-another compiles to JS(X) language. I'd value any feedback. See also https://ift.tt/LscpVqD https://ift.tt/vVP46sB March 23, 2025 at 01:39AM

Show HN: GoCard – A file-based spaced repetition system built in Go https://ift.tt/9HRLAlO

Show HN: GoCard – A file-based spaced repetition system built in Go Hi HN! I'm excited to share GoCard, a terminal-based spaced repetition system I built that uses plain Markdown files as its data source. I've always been frustrated with existing spaced repetition tools that lock my knowledge into proprietary formats or require constant internet access. As a developer who lives in terminals and text editors, I wanted something that: 1. Stores cards as plain text files I can edit with any editor 2. Works seamlessly with Git for versioning and sync 3. Runs in a terminal without distractions 4. Has first-class support for code snippets and programming concepts GoCard implements the SM-2 algorithm (the same one used by Anki) but instead of a database, it uses a simple directory structure where: - Each card is a Markdown file with YAML frontmatter - Directories represent decks and subdecks - Everything is editable with standard tools *Key features:* - Distraction-free terminal UI built with BubbleTea - Real-time file watching (edit cards in your editor while reviewing) - Code syntax highlighting for 50+ languages - Vim/Emacs keybindings for efficient navigation - Hierarchical deck organization via directories - Cross-platform (Linux, macOS, Windows) What sets GoCard apart from other SRS tools is its developer-centric approach. Create cards with your favorite editor, organize them with your file manager, version them with Git, and review them in a clean terminal interface. I built this because I wanted a knowledge management system that worked with my developer workflow rather than against it. Making everything file-based means I can apply all my existing text-processing skills and tools. The project is v0.1.0, implemented in Go, and available at: https://ift.tt/nfaJcge I'd especially appreciate feedback on the UX design and any suggestions for making it more intuitive for terminal users. Has anyone else built similar file-based knowledge tools? What patterns worked well for you? https://ift.tt/nfaJcge March 23, 2025 at 02:35AM

Show HN: Hyperbrowser MCP Server – Connect AI agents to the web through browsers https://ift.tt/tEbcpYl

Show HN: Hyperbrowser MCP Server – Connect AI agents to the web through browsers Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results with Bing search 5. `browser_use_agent` - Fast, lightweight browser automation with the Browser Use agent 6. `openai_computer_use_agent` - General-purpose automation using OpenAI’s CUA model 7. `claude_computer_use_agent` - Complex browser tasks using Claude computer use You can connect the server to Cursor, Windsurf, Claude desktop, and any other MCP clients with this command `npx -y hyperbrowser-mcp` and a Hyperbrowser API key. We're running this on our cloud browser infrastructure that we've been developing for the past few months – it handles captchas, proxies, and stealth browsing automatically. Some fun things you can do with it: (1) deep research with claude desktop, (2) summarizing the latest HN posts, (3) creating full applications from short gists in Cursor, (3) automating code review in cursor, (4) generating llms.txt for any website with windsurf, (5) ordering sushi from windsurf (admittedly, this is just for fun - probably not actually going to do this myself). We're building this server in the open and would love feedback from anyone building agents or working with web automation. If you find bugs or have feature requests, please let us know! One big issue with MCPs in general is that the installation UX sucks and auth credentials have to be hardcoded. We don’t have a solution to this right now but Anthropic seems to be working on something here so excited for that to come out. Love to hear any other complaints / thoughts you have about the server itself, Hyperbrowser, or the installation experience. You can check us out at https://hyperbrowser.ai or check out the source code at https://ift.tt/n6sZQAc https://ift.tt/n6sZQAc March 20, 2025 at 10:31PM

Show HN: Reaching inbox zero has never been more fun https://ift.tt/NRePHVi

Show HN: Reaching inbox zero has never been more fun The average person receives around 120+ emails per day. This makes it almost impossible to stay on top of your emails. This is where InboxSwipe comes in. InboxSwipe is the easiest and most fun way to clean up your Gmail inbox. We present all your emails in a tinder style card view where you can swipe away to take several actions on your email (deleting, unsubscribing, marking as read, etc.) You can choose from 10+ actions and assign it to any swipe gesture you want. We also have AI powered reply feature so that you can respond and discard emails with just a click of a button. Try it out and let me know what you think. https://ift.tt/bhEAsxu March 21, 2025 at 11:22PM

Show HN: I built a free tool to create interactive, clickable US map for sites https://ift.tt/MUyzJ9D

Show HN: I built a free tool to create interactive, clickable US map for sites https://ift.tt/uVhgjOc March 21, 2025 at 12:53AM

Show HN: Nicely designed editor for mockups and screenshots https://ift.tt/R9LoFGK

Show HN: Nicely designed editor for mockups and screenshots https://postspark.app March 21, 2025 at 12:14AM

Show HN: SpongeCake – open-source SDK for OpenAI computer use agents https://ift.tt/hFoaWeS

Show HN: SpongeCake – open-source SDK for OpenAI computer use agents Hey HN! Wanted to quickly put this together after seeing OpenAI launched their new computer use agent We were excited to get our hands on it, but quickly realized there was still quite a bit of set-up required to actually spin up a VM and have the model do things. So we wanted to put together an easy way to deploy these OpenAI computer use VMs in an SDK format and open source it Hopefully this tooling is helpful to other folks building AI agents! Here’s a link to the repo ( https://ift.tt/yJr1YpC ) - please try it out and give us a star. If you have any feedback, add it as a comment to this post! Or if you simply just love spongecake, show support for the delicious treat https://ift.tt/yJr1YpC March 20, 2025 at 10:16PM

Show HN: I made an interactive LLM Tools guide https://ift.tt/DEubeIL

Show HN: I made an interactive LLM Tools guide So hard to keep up with tooling and MLOps - I put it all in one place and got some tips from an experienced friend on what to use. https://ift.tt/OPaERkp March 20, 2025 at 01:30AM

Show HN: Codemcp – Claude Code for Claude Pro subscribers – ditch API bills https://ift.tt/O2GWXJn

Show HN: Codemcp – Claude Code for Claude Pro subscribers – ditch API bills Hi all! I normally work on the PyTorch project but I've been on baby leave for the past month, so I've been playing around with AI as a user rather than a framework implementor. I really liked the agent experience with Claude Code, but I couldn't really justify spending so many dollars on API costs for random side projects. I already pay for a Claude Pro subscription though, and it turns out you can simulate many of Claude Code's features with an MCP. If you have a Pro subscription, check this out! I think it really captures the Claude Code experience quite well, without forcing you to pay for API tokens. https://ift.tt/cOKl0fu March 13, 2025 at 11:59PM

Show HN: I Built a DEX That Pays You to Take Risks – and You Can Own It https://ift.tt/iYQomjB

Show HN: I Built a DEX That Pays You to Take Risks – and You Can Own It Meme coins are a casino, and most DEXs just take your fees and call it a day. I flipped the script with EaglesTrader every trade you make, win or lose, gets you a cashback in SOL—real risk compensation, not just another airdrop gimmick. Here’s the kicker: ownership isn’t locked to VCs or insiders. It’s 100% public. Hold the tokens, and you earn a cut of all platform fees—proportional to your stake. No bots, no gatekeepers, just a community-owned trading engine. Built it on Solana for speed and low costs, sourcing meme coins from Pump.fun and other solana platforms to keep the chaos flowing. The tech’slive SOL cashback’s handled via smart contracts, and fee distribution’s transparent on-chain. Early users are already stacking SOL and tokens. Thoughts on this model? Is risk compensation the future of DeFi, or just a meme coin fever dream? https://ift.tt/X08rAQF March 19, 2025 at 11:33PM

Show HN: We built an agentic image editor that preserves the original structure https://ift.tt/ptlHRA0

Show HN: We built an agentic image editor that preserves the original structure Hi everyone, I’ve been experimenting with app where you can edit images in your camera roll simply by tweaking your photo’s metadata (changing location/time) and our agent will contextually regenerate the photo in that place & time in one shot. There's no prompting involved. One of the hardest problems we’ve seen with these ai image editing/creation tools is that they struggle with preserving the subjects of the original image (faces, genders, number of people, bodies, animals, etc), and I think we’ve gotten a step closer to making it feel more realistic. The gallery has some examples that people have been regenerating. https://ift.tt/KOqkX9L Here’s a demo: https://ift.tt/1amUR9W Feel free to dm me on Twitter: https://twitter.com/sakofchit if you’d like to try out the TestFlight in the meantime Would love to know what y'all think! https://ift.tt/KOqkX9L March 19, 2025 at 11:14PM

Show HN: I Made an Escape Room Themed Prompt Injection Challenge https://ift.tt/T2CXqMn

Show HN: I Made an Escape Room Themed Prompt Injection Challenge We launched an escape room-themed AI Escape Room challenge with prizes of up to $10,000 where you need to convince the escape room supervisor LLM chatbot to give you the key using prompt injection techniques. Hope you like it :) https://ift.tt/0bEBqzj March 19, 2025 at 01:12AM

Show HN: "Git who" – A new CLI tool for industrial-scale Git blaming https://ift.tt/INuFZbt

Show HN: "Git who" – A new CLI tool for industrial-scale Git blaming I've always wanted a better way to explore the authorship data embedded in a Git commit log. I'm having fun building a CLI tool to do this. It's a bit like the "Contributors" tab on Github that shows you how many commits each contributor has made but much faster and with many more options. If you get a chance to try it out, please let me know. I'd love to hear feedback and suggestions. Thank you! https://ift.tt/KyaxPqX March 19, 2025 at 01:50AM

Show HN: I Created a Fork of Ghost CMS with an AI Editor and Native ECommerce https://ift.tt/HWhx6v5

Show HN: I Created a Fork of Ghost CMS with an AI Editor and Native ECommerce After many months of hard work and innovation, we've built a platform that takes Ghost CMS to the next level. Cartanza integrates native AI-powered content and image creation and native eCommerce functionality directly into the blogging experience. This means you can now: - Generate high-quality blog content and images with AI—no more copy-pasting between tools. - Seamlessly embed eCommerce capabilities, linking products and collections directly into your blog posts. - Manage subscriptions, merchandise, and content marketing all in one place. To see Cartanza in action, check out our demo video on YouTube ( https://youtu.be/CQQDqKjOM-Y ). In the video, I walk you through our platform's key features and show how easy it is to get started with our innovative solution. We're excited to invite bloggers, content creators, and eCommerce enthusiasts to explore Cartanza. Join us as we redefine the blogging experience—where creativity meets commerce, powered by cutting-edge AI. https://cartanza.com/ March 19, 2025 at 12:27AM

Show HN: I made an AI Tutor that teaches through conversation https://ift.tt/iF2eU58

Show HN: I made an AI Tutor that teaches through conversation https://sproutful.ai/ March 19, 2025 at 12:43AM

Show HN: Cascii – A portable ASCII diagram builder written in vanilla JavaScript https://ift.tt/JF8plEu

Show HN: Cascii – A portable ASCII diagram builder written in vanilla JavaScript 3 months ago I wanted to draw an ASCII diagram to include in some documentation at work. I found the few tools online to be insufficient, and was suprised there wasn't a more complete tool to get the job done. Since, I've built Cascii from scratch in vanilla Javascript (I'm not an FE dev, it might be obvious...). I hope it works alright. Please check out the live version at https://cascii.app , report problems, make diagrams to improve your code's documentation. Hope you enjoy using it. https://ift.tt/q6rHyGC March 16, 2025 at 03:32PM

Show HN: OpenTimes – Free travel times between U.S. Census geographies https://ift.tt/a4xj0oz

Show HN: OpenTimes – Free travel times between U.S. Census geographies Hi HN! Today I'm launching OpenTimes, a free database of roughly 150 billion pre-computed, point-to-point travel times between United States Census geographies. In addition to letting you visualize travel isochrones on the homepage, OpenTimes also lets you download massive amounts of travel time data for free and with no limits. The primary goal here is to enable research and fill a gap I noticed in the open-source spatial ecosystem. Researchers (social scientists, economists, etc.) use large travel time matrices to quantify things like access to healthcare, but they often end up paying Google or Esri for the necessary data. By pre-calculating times between commonly-used research geographies (i.e. Census) and then making those times easily accessible via SQL, I hope to make large-scale accessibility research cheaper and simpler. Some technical bits that may be of interest to HN folks: - The entire OpenTimes backend is just static Parquet files on R2. There's no RDBMS or running service. The whole thing costs about $10/month to host and is free to serve. - All travel times were calculated by pre-building the inputs (OSM, OSRM networks) and then distributing the compute over hundreds of GitHub Actions jobs. - The query/SQL layer uses a setup I haven't seen before: a single DuckDB database file with views that point to static Parquet files via HTTP. Finally, the driving times are optimistic since they don't (yet) account for traffic. This is something I hope to work on in the near future. Enjoy! https://opentimes.org March 18, 2025 at 02:10AM

Show HN: A nice website Visual Theme Editor for tailwind/shadcn https://ift.tt/7K95o2f

Show HN: A nice website Visual Theme Editor for tailwind/shadcn https://tweakcn.com March 17, 2025 at 11:41PM

Show HN: A static scanner for LLM app code https://ift.tt/h8DBUZE

Show HN: A static scanner for LLM app code https://ift.tt/myP26kD March 17, 2025 at 11:19PM

Show HN: LockedIn – replace your LinkedIn feed with co-working livestreams https://ift.tt/OlAzvXJ

Show HN: LockedIn – replace your LinkedIn feed with co-working livestreams https://getlockedin.xyz/ March 16, 2025 at 11:13PM

Show HN: Cppmatch – Rust-Like Pattern Matching and Error Handling for C++ https://ift.tt/wTGpIuA

Show HN: Cppmatch – Rust-Like Pattern Matching and Error Handling for C++ I've created cppmatch, a lightweight, header-only C++ library that brings Rust-inspired pattern matching and error handling to C++. It tries to imitate the functionality of the questionmark (?) operator in C++ by using a macro that uses the gcc extension https://ift.tt/SZyDOYh This allows to create exceptionless code with non-intrusive error-as-value that unlike Exceptions, makes it clear which kinds of error a function can generate and forces you to handle (or ignore) them. The ? operator translates to *expect* To handle the errors I introduce *match* which allows to easily visit the contents of the result or any std::variant (you can use it to imitate rust enums) You can view an example of this project used in a "real way" in compiler-explorer: Simplified error types to just be a string: https://ift.tt/GSE145O Multiple structs as error types: https://ift.tt/pQJnAYR Feel free to give feedback or contribute to the project! https://ift.tt/HuEP0Jq March 16, 2025 at 10:37PM

Show HN: Cross-platform native UI library for all OS https://ift.tt/fbzm3wc

Show HN: Cross-platform native UI library for all OS https://ift.tt/KSsu4o7 March 16, 2025 at 11:19PM

Show HN: Nash, I made a standalone note with single HTML file https://ift.tt/3UyqSH2

Show HN: Nash, I made a standalone note with single HTML file Hello HN, I hope it will posted as well. I made a note in single html file. This does not require a separate membership or installation of the software, and if you download and modify an empty file, you can modify and read it at any time, regardless of online or offline. It can be shared through messengers such as Telegram, so it is also suitable to share contents with long articles and images. It is also possible to host and blog because it is static html file content. https://ift.tt/XY7Wvdy March 14, 2025 at 07:21AM

Show HN: Kill SaaS with Open Source https://ift.tt/fQtpxq9

Show HN: Kill SaaS with Open Source KillSaaS is my answer to subscription software in the AI era. I'm building this because I believe small teams can use modern AI tools to create free alternatives to giants like Figma and DocuSign in weeks, not years. We're creating a platform where developers vote on which SaaS to replace, then build it together as open source. wdyt? https://ift.tt/A9TN5Zw March 16, 2025 at 02:50AM

Show HN: Basic Memory – Build a knowledge graph from Claude conversations https://ift.tt/cAJVt8x

Show HN: Basic Memory – Build a knowledge graph from Claude conversations Basic Memory is an open-source tool that enables Claude to build and navigate a persistent knowledge graph based on your conversations. It solves the problem of lost context in AI interactions by storing knowledge in standard Markdown files on your computer. I built this because I found myself constantly repeating information to LLMs and wanted a system where my knowledge grew naturally through conversations while maintaining complete control over my data. Demo video: https://ift.tt/XGJhNit Key features: - Continue conversations exactly where you left off without repetition - All knowledge stays in local Markdown files you can edit anytime - Works with Claude Desktop via the Model Context Protocol - Seamless integration with Obsidian for visualization and editing - Fully open source (AGPL) The system works by creating structure from simple markdown patterns: - Observations with categories: `- [category] fact #tag` - Relations between documents: `- relation_type [[WikiLink]]` or plain `[[Wikilinks]]` - These patterns emerge naturally during conversations When you chat with Claude, you can simply say "Let's continue our conversation about X" and it will build context from your knowledge base, without needing to upload files every time. GitHub: https://ift.tt/Xk05M8S Docs: https://ift.tt/ns6QKEI Website: https://ift.tt/yz8B4JO Requires Claude Desktop or other MCP host and Python 3.12+ I'd love feedback from the HN community, particularly from those interested in knowledge management or AI applications. https://ift.tt/Xk05M8S March 15, 2025 at 11:49PM

Show HN: OCR Benchmark Focusing on Automation https://ift.tt/L31Kc5d

Show HN: OCR Benchmark Focusing on Automation OCR/Document extraction field has seen lot of action recently with releases like Mixtral OCR, Andrew Ng's agentic document processing etc. Also there are several benchmarks for OCR, however all testing for something slightly different which make good comparison of models very hard. To give an example, some models like mixtral-ocr only try to convert a document to markdown format. You have to use another LLM on top of it to get the final result. Some VLM’s directly give structured information like key fields from documents like invoices, but you have to either add business rules on top of it or use some LLM as a judge kind of system to get sense of which output needs to be manually reviewed or can be taken as correct output. No benchmark attempts to measure the actual rate of automation you can achieve. We have tried to solve this problem with a benchmark that is only applicable for documents/usecases where you are looking for automation and its trying to measure that end to end automation level of different models or systems. We have collected a dataset that represents documents like invoices etc which are applicable in processes where automation is needed vs are more copilot in nature where you would need to chat with document. Also have annotated these documents and published the dataset and repo so it can be extended. Here is writeup: https://ift.tt/wETgKe6 Dataset: https://ift.tt/h5qaW8l Github: https://ift.tt/zyOrHCs Looking for suggestions on how this benchmark can be improved further. https://ift.tt/wETgKe6 March 13, 2025 at 02:19AM

Show HN: LLM-docs, software documentation intended for consumption by LLMs https://ift.tt/OXsBMp2

Show HN: LLM-docs, software documentation intended for consumption by LLMs I was inspired by a recent tweet by Andrej Karpathy, as well as my own experience copying and pasting a bunch of html docs into Claude yesterday and bemoaning how long-winded and poorly formatted it was. I’m trying to decide if I should make it into a full-fledged service and completely automate the process of generating the distilled documentation. Problem is that it would cost a lot in API tokens and wouldn’t generate any revenue (plus it would have to be updated as documentation changes significantly). Maybe Anthropic wants to fund it as a public good? Let me know! https://ift.tt/evic2Oa March 14, 2025 at 10:34PM

Show HN: Pi Labs – AI scoring and optimization tools for software engineers https://ift.tt/1R7fiSM

Show HN: Pi Labs – AI scoring and optimization tools for software engineers Hey HN, after years building some of the core AI and NLU systems in Google Search, we decided to leave and build outside. Our goal was to put the advanced ML and DS techniques we’ve been using in the hands of all software engineers, so that everyone can build AI and Search apps at the same level of performance and sophistication as the big labs. This was a hard technical challenge but we were very inspired by the MVC architecture for Web development. The intuition there was that when a data model changes, its view would get auto-updated. We built a similar architecture for AI. On one side is a scoring system, which encapsulates in a set of metrics what’s good about the AI application. On the other side is a set of optimizers that “compile” against this scorer - prompt optimization, data filtering, synthetic data generation, supervised learning, RL, etc. The scoring system can be calibrated using developer, user or rater feedback, and once it’s updated, all the optimizers get recompiled against it. The result is a setup that makes it easy to incrementally improve the quality of your AI in a tight feedback loop: You update your scorers, they auto-update your optimizers, your app gets better, you see that improvement in interpretable scores, and then you repeat, progressing from simpler to more advanced optimizers and from off-the-shelf to calibrated scorers. We would love your feedback on this approach. https://build.withpi.ai has a set of playgrounds to help you quickly build a scorer and multiple optimizers. No sign in required. https://code.withpi.ai has the API reference and Notebook links. Finally, we have a Loom demo [1]. More technical details Scorers: Our scoring system has three key differences from the common LLM-as-a-judge pattern. First, rather than a single label or metric from an LLM judge, our scoring system is represented as a tunable tree of metrics, with 20+ dimensions which get combined into a final (non-linear) weighted score. The tree structure makes scores easily interpretable (just look at the breakdown by dimension), extensible (just add/remove a dimension), and adjustable (just re-tune the weights). Training the scoring system with labeled/preference data adjusts the weights. You can automate this process with user feedback signals, resulting in a tight feedback loop. Second, our scoring system handles natural language dimensions (great for free-form, qualitative questions requiring NLU) alongside quantitative dimensions (like computations over dates or doc length, which can be provided in Python) in the same tree. When calibrating with your labeled or preference data, the scorer learns how to balance these. Third, for natural language scoring, we use specialized smaller encoder models rather than autoregressive models. Encoders are a natural fit for scoring as they are faster and cheaper to run, easier to fine-tune, and more suitable architecturally (bi-directional attention with regression or classification head) than similar sized decoder models. For example, we can score 20+ dimensions in sub-100ms, making it possible to use scoring everywhere from evaluation to agent orchestration to reward modeling. Optimizers: We took the most salient ML techniques and reformulated them as optimizers against our scoring system e.g. for DSPy, the scoring system acts as its validator. For GRPO, the scoring system acts as its reward model. We’re keen to hear the community’s feedback on which techniques to add next. Overall stack: Playgrounds next.js and Vercel. AI: Runpod and GCP for training GPUs, TRL for training algos, ModernBert & Llama as base models. GCP and Azure for 4o and Anthropic calls. We’d love your feedback and perspectives: Our team will be around to answer questions and discuss. If there’s a lot of interest, happy to host a live session! - Achint, co-founder of Pi Labs [1] https://ift.tt/L9oyePR https://ift.tt/Gk34YDj March 14, 2025 at 07:07PM

Show HN: Bypass DEI Censorship https://ift.tt/AdibI1k

Show HN: Bypass DEI Censorship https://ift.tt/25dxKPT March 14, 2025 at 02:53AM

Show HN: Cross platform binary to launch native binary using Cosmopolitan Libc https://ift.tt/0mJLO9P

Show HN: Cross platform binary to launch native binary using Cosmopolitan Libc https://ift.tt/4KWoXnQ March 14, 2025 at 12:23AM

Show HN: Bubbles, a vanilla JavaScript web game https://ift.tt/viBEn29

Show HN: Bubbles, a vanilla JavaScript web game Hey everybody, you might remember my older game, Lander! It made a big splash on Hacker News about 2 years ago. I'm still enjoying writing games with no dependencies. I've been working on Bubbles for about 6 months and would love to see your scores. If you like it, you can build your own levels with my builder tool: https://ift.tt/lwAbFKN and share the levels here or via Github. https://ift.tt/Ozr3cbX March 13, 2025 at 11:18PM

Show HN: Simple Turn Servers for WebRTC – 5GB Free, $0.20/GB After https://ift.tt/Eg4PmCd

Show HN: Simple Turn Servers for WebRTC – 5GB Free, $0.20/GB After https://turnwebrtc.com/ March 13, 2025 at 04:27AM

Show HN: CatCompass – An app for tracking stray cats https://ift.tt/pyZwCLu

Show HN: CatCompass – An app for tracking stray cats https://catcompass.com March 13, 2025 at 03:40AM

Show HN: Time Portal – Get dropped into history, guess where you landed https://ift.tt/GaI6deq

Show HN: Time Portal – Get dropped into history, guess where you landed Hi HN! I love imagining the past, so I made Time Portal, a game where you are dropped into a historical event and see AI video footage from that moment. You have to guess where you are in time and on the map. It’s like GeoGuessr (and heavily inspired by it!) but for historical events. The videos are all created with AI. It’s a pipeline of Flux (images), Kling (video), and mmaudio (audio). The videos aren’t always historically accurate to the last detail. They might incorporate elements of folklore or have details from popular beliefs about the way things looked rather than the latest academic research on how they looked. I’m thinking a lot about how to make the game more interactive. One thing that makes Geoguessr so fun for me is that you can move infinitely and always find more details to help you pinpoint the location. I want Time Portal to have a similar quality. I have a few ideas to try soon that will hopefully make the game more interactive and infinite. https://ift.tt/swekZrL March 13, 2025 at 01:53AM

Show HN: Daylight – track sunrise / sunset times in your terminal https://ift.tt/y5BXeIP

Show HN: Daylight – track sunrise / sunset times in your terminal https://ift.tt/LYhRc2l March 9, 2025 at 05:51PM

Show HN: AI-powered root cause analysis with the Five Whys method https://ift.tt/ksUQz7L

Show HN: AI-powered root cause analysis with the Five Whys method https://ift.tt/Ryd0maS March 12, 2025 at 07:16AM

Show HN: We built a Plug-in Home Battery for the 99.7% of us without Powerwalls https://ift.tt/DmCKr71

Show HN: We built a Plug-in Home Battery for the 99.7% of us without Powerwalls Hi HN! I’m Cole Ashman, founder of Pila Energy. I’ve spent my career working on home energy systems—first as an engineer on Tesla’s Powerwall, where I focused on the Backup Gateway, Solar Inverter, and metering systems. More recently, I led Product at SPAN, where we built the Smart Electrical Panel and integrated with most major home solar, EV, and battery systems. Pila ( https://pila.energy/ ) is a home battery that plugs into a standard wall outlet, provides smart backup power, energy shifting, and grid services. It’s more than a power bank—it’s a distributed energy system that can scale across multiple rooms, entire buildings, and work together in real time as a coordinated system. We built Pila to be local first with an open API to allow developers to build use cases on top of our hardware (Home Assistant, etc). Big batteries like Tesla Powerwall and Enphase are great if you own a home and can afford a $10K+ electrical project, but they require permanent installation, electricians, and panel upgrades—which makes them inaccessible for renters, apartments, and cost-conscious homeowners. Over 50% of the cost of installing a Powerwall isn’t even the battery itself—it’s soft costs: labor, permitting, etc. We wanted to create an entry point for more people to access energy security at home. How does it work? Plug Pila into any 120V wall outlet, and power passes through to connected devices and appliances. The inverter, LFP battery, BMS, grid disconnection, controller, and wireless connectivity are all built in. (details at https://ift.tt/v6CkVKs ) When an outage happens, the onboard inverter detects the power loss within 20ms and automatically disconnects from the grid (islanding). Whether you’re home or away, backup kicks in instantly. A built-in cellular radio ensures you get a notification even if your home WiFi is out. Pila is 1.6kWh. That will backup a standard fridge for over a day. One key challenge we faced with a distributed architecture was coordination between batteries, for things like solar-following and managing real-time draw from your utility connection. Unlike large garage systems, where you can run a wired CAN bus, our batteries are spread across the home. We’re solving this with a sub-GHz wireless mesh network—self-healing, coordinator-less, and designed to make setup and expansion as simple as plugging in another unit. Long-term, we’d love to open up this protocol to provide a more reliable communication layer for energy products in noisy built environments—reducing reliance on consumer Wi-Fi. We want to deliver the value you’d expect from a whole-home battery like Powerwall, in a plug-in format. That means going beyond a basic lead acid UPS with real home energy management, useful insights about power use, power larger loads like sump pumps, and even deliver grid services. Most portable batteries are missing the functionality that makes a home battery useful: no bidirectional power, no integration with solar or smart home systems, and no ability to manage home energy dynamically. They tend to be boxy, ruggedized, meant to be moved around, not seamlessly integrated into your living space. On top of that, many use e-mobility battery chemistries, which are great for delivering high power on demand but wear out faster when cycled daily for home energy use. As a renter myself, I started Pila because these awesome energy products aren’t accessible enough. And frankly, generators are loud, expensive, and a pain to deal with. Even many Powerwall owners I’ve talked to say they really care about keeping the fridge, WiFi, and a sump pump running—so why does energy resilience have to be so complicated and expensive? As the grid struggles to keep up with demand, we believe modular, renter-friendly batteries can make home energy resilience more accessible. What's been your experience with home batteries? What recent power outages have you had, and how were you affected? https://pilaenergy.com March 11, 2025 at 09:18PM

Show HN: A Multiplayer Chatbot https://ift.tt/8lFdVEO

Show HN: A Multiplayer Chatbot Imagine if ChatGPT thought you should meet someone it recently spoke with. I built this simple demo that keeps messages from other users in context, so it can suggest connections and stuff. You can modify the system prompt to decide what the whole point of this is. I’m looking for ideas! https://ift.tt/xVd3Flb March 11, 2025 at 11:08PM

Show HN: Seven39, a social media app that is only open for 3 hours every evening https://ift.tt/JQ6tdpz

Show HN: Seven39, a social media app that is only open for 3 hours every evening I built this site as a quick test if a time boxed social media experience feels better than an endless one. So far I've just been using it with friends and it feels nice, but it seems like it is time to bring it to a larger audience. Let me know what you think! It is just based on EST for now, sorry. https://www.seven39.com March 11, 2025 at 06:35AM

Show HN: Hot Design – Like Hot Reload, but a Runtime Visual Designer https://ift.tt/jpQwYBy

Show HN: Hot Design – Like Hot Reload, but a Runtime Visual Designer Hi HN, Nick here, from the open-source Uno Platform team. You are likely familiar with Hot Reload , pioneered by Flutter. We’ve taken that concept further and built Hot Design , let me introduce it to you. Architecturally, Hot Design idea is simple: 1. In your IDE, pause the live, running app at runtime, turning it into a designer. 2. Modify the UI directly on the designer —add elements, adjust layouts, tweak bindings etc. 3. Resume the app without restarting or losing state. We built Hot Design to address the frustration of slow iteration cycles when building and tweaking UI or debugging data bindings in apps targeting multiple platforms. Here’s a detailed explanation and a video of Hot Design in action: https://ift.tt/aDFwf1l I can see potential criticism: It will get killed by AI, it’s another abstraction over code, it is .NET etc. Happy to respond to those comments if they come; we put a lot of thought into Hot Design and would love to hear it challenged! Nick https://ift.tt/aDFwf1l March 11, 2025 at 07:40AM

Show HN: Chrome Extension for ChatGPT to organize conversations into folders https://ift.tt/lONr3ZC

Show HN: Chrome Extension for ChatGPT to organize conversations into folders Hi HN, I'm Alex, a full-stack developer from Toronto, Canada. I recently built a Chrome extension that organizes ChatGPT conversations into folders, allowing users to sort and save important information for easy reference. The idea for this extension came from a friend who highlighted the lack of good (and affordable) ChatGPT organizers. Many existing tools were either low-quality or overpriced, so I decided to create one that was both reliable and accessible. I built the extension using plain JavaScript and developed a backend with Express to handle Google authentication. For storage, I used MongoDB, enabling all users with an account to save their folder structures and conversation data. Initially, I planned to charge $5 per month to cover costs since originally this extension was intended as a portfolio project addressing a real-world problem. However, just as I finished the main functionality and was about to implement payments, ChatGPT announced an official feature similar to one my extension was providing. Rather than continue competing in a market with an "official" solution, I decided to stop development. But I didn't want my work to go to waste, so I chose to release it for free, motivated by a desire to share it with the community. I made some changes to eliminate the backend. Now the extension stores all folder structures and content locally in Chrome storage. Luckily, I had some old code to reuse for this. The extension is now live on the Chrome Web Store. This project introduced me to a lot of new challenges with technologies I hadn’t used before, but I’m grateful for the experience and the skills I gained along the way. I hope you find it useful! Links to the extension and its website: https://ift.tt/paET7Gs... https://ift.tt/uqE0nRT If you have any questions or suggestions, feel free to reach out in the comments or via email at georgepozdman@gmail.com. https://ift.tt/uqE0nRT March 11, 2025 at 04:41AM

Show HN: I built a Figma plugin for quick data calculations https://ift.tt/0EAdFly

Show HN: I built a Figma plugin for quick data calculations I lead design on a B2B SaaS product. It's quite data-heavy in places. Using placeholder content in data tables, checkout summaries and dashboards is a big no-no for us. It might seem like using random numbers saves time at first, but sooner or later there's documentation to write and plenty of clarifications to be made. It throws off customers during interviews – "hey, that's not really my sales target!". It confuses stakeholders at review time– "what's this data point supposed to be?" I built a Figma calculator plugin for my team so that they spend less time doing mental maths. It calculates sums, differences averages and percentages, and makes it easy to use real-looking data in designs. https://ift.tt/uSvFbAD March 10, 2025 at 07:11PM

Show HN: I built a free SVG Web site https://ift.tt/JZx1NHL

Show HN: I built a free SVG Web site This has been an experiment to see if I could create everything using scripts and AI. If AI couldn't do it I'd get it to create the code such as API calls and so on. This websvg.com site was completely created using these AI tools. Including the DNS being applied, the Cloudflare Pages were automatically set up and the the web site was a Svelte 5 application generated by v0.dev and Cursor. Every image was generated in Midjourney and converted to SVG. I have now taken all of these scripts and can create a similar landing or directory site in less than a minute, provided I have the data. Anyway it's been fun. https://websvg.com/ March 10, 2025 at 01:50AM

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/zLEVqC4

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/C5gL8nS March 10, 2025 at 12:42AM

Show HN: Evolving Agents Framework https://ift.tt/yRZjOqH

Show HN: Evolving Agents Framework Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is still a draft and a proof of concept (POC). Right now, I’m focused on validating it in real-world scenarios to refine and improve it. Next week, I'm adding a new feature to make it useful for distributed multi-agent systems. This will allow agents to work across different environments, improving scalability and coordination. Why? Most agent-based AI frameworks today require manual orchestration. This project takes a different approach by allowing agents to decide and adapt based on the task at hand. Instead of always creating new agents, it determines if existing ones can be reused or evolved. Example Use Case: Let’s say you need an invoice analysis agent. Instead of manually configuring one, our framework: Checks if a similar agent exists (e.g., a document analyzer) Decides whether to reuse, evolve, or create a new agent Runs the best agent and returns the extracted information Here's a simple example in Python: import asyncio from evolving_agents.smart_library.smart_library import SmartLibrary from evolving_agents.core.llm_service import LLMService from evolving_agents.core.system_agent import SystemAgent async def main(): library = SmartLibrary("agent_library.json") llm = LLMService(provider="openai", model="gpt-4o") system = SystemAgent(library, llm) result = await system.decide_and_act( request="I need an agent that can analyze invoices and extract the total amount", domain="document_processing", record_type="AGENT" ) print(f"Decision: {result['action']}") # 'reuse', 'evolve', or 'create' print(f"Agent: {result['record']['name']}") if __name__ == "__main__": asyncio.run(main()) Next Steps Validating in real-world use cases and improving agent evolution strategies Adding distributed multi-agent support for better scalability Full integration with BeeAI Agent Communication Protocol (ACP) Better visualization tools for debugging Would love feedback from the HN community! What features would you like to see? Repo: https://ift.tt/9DTO7Ez https://ift.tt/9DTO7Ez March 9, 2025 at 10:21PM

Show HN: Math expressions and graph traversals of the Chinese language https://ift.tt/xC7gfvw

Show HN: Math expressions and graph traversals of the Chinese language I've been working on a free Chinese language learning tool for awhile now. The main insight is that Chinese characters are used together to form words, and that this allows for a way of quickly getting information about related words and characters. By learning words and characters in a chain in this way, I've found it easier not to get lost in the long list of characters. In addition, I've found it helpful to break down characters into their components to find pronunciation clues, which can sometimes be hidden in components of components. The math feature uses a similar tree traversal mechanism to allow expressions like 酒-氵+各 = 酪 or 亻+寸+广+仌+⺆ = 腐. As it's 2025, it also has some AI features. Notably: * allowlisted users can get Chinese or English text explanations that span more than just a word, but that integrate with the other features, like flashcard creation and in-browser text-to-speech. * files and images (using the browser's `capture` mechanism to operate cameras) can also be processed similarly. * example sentences were generated and cached using AI The site is a PWA built with vanilla JS (because I like pain), with Cytoscape and D3 for various rendering tasks. The backend was built with Firebase, with Genkit + Gemini 2.0 providing the AI integration. Feel free to check it out: https://hanzigraph.com https://ift.tt/ZIAzi1S March 9, 2025 at 12:30AM

Show HN: Simple Certificate Decoder Tool https://ift.tt/KcPz2ak

Show HN: Simple Certificate Decoder Tool Sometimes I need to quickly check certificates, especially key details like SANs, expiration dates, issuer info, etc. I know there are dozens (if not hundreds) of certificate decoders out there already, but I built my own—mostly for fun, but also because I prefer tools that are clean, simple, and straightforward to use. Would appreciate your feedback! https://ift.tt/p3JKHzU March 8, 2025 at 11:09PM

Show HN: Ming-wm: A 100% keyboard-operated desktop environment in Rust https://ift.tt/jPExQcN

Show HN: Ming-wm: A 100% keyboard-operated desktop environment in Rust https://ift.tt/72LaNj5 March 8, 2025 at 12:24AM

Show HN: Re-Imagining Configuration Management https://ift.tt/vQBhpz9

Show HN: Re-Imagining Configuration Management https://ift.tt/sJHAaDp March 8, 2025 at 02:53AM

Show HN: I Built a Telegraph Simulator https://ift.tt/A1G2TmE

Show HN: I Built a Telegraph Simulator https://ift.tt/480JqBn March 5, 2025 at 03:30AM

Show HN: Ask AI Paul Graham (Open Sourced) https://ift.tt/tV2ZXNL

Show HN: Ask AI Paul Graham (Open Sourced) https://ift.tt/iNan8d3 March 8, 2025 at 12:10AM

Show HN: Open-source, native audio turn detection model https://ift.tt/ruj34Lf

Show HN: Open-source, native audio turn detection model https://ift.tt/dZYAUyj March 6, 2025 at 11:50PM

Show HN: DataBridge: Rule-Based Metadata Extraction, PII Redaction, and More https://ift.tt/BjQd6Gl

Show HN: DataBridge: Rule-Based Metadata Extraction, PII Redaction, and More https://ift.tt/6rNAnxq March 6, 2025 at 08:12PM

Show HN: Leaflet.pub – a web app for delightful documents https://ift.tt/ubn50sQ

Show HN: Leaflet.pub – a web app for delightful documents Hi HN! For the last 8 months we've been working on leaflet.pub, a web app for making delightful documents. We're trying to strike a balance between Notion and Google Docs — very fast, ultralight and easy to share, but also supporting rich blocks and multiple pages. Weirdly, none of the many notetaking/document apps that we could find hit this combination, so we made Leaflet. With it you can: - Instantly create a doc, without an account - Share read and edit links - Sign-in with email to sync your docs to different devices - Add rich blocks, like canvases, subpages, rsvps, and polls It's really useful for one-off collaborations, running events, or just when you need a blank page without having to buy into a whole organizational system. We also spent a lot of time making sure Leaflets look good. We've found that there's a pretty blurry boundary between a document and a website, so making something that people can feel proud to publish online was key. Here's a couple examples! - Jake's presentation on Slöjd, traditional handcraft pedagogy ( https://ift.tt/GEfJwnq ) - Laura's documentation of her website redesign ( https://ift.tt/eJqtwuN ) Some technical details that might be interesting: - We do sync and all our client-side state via Replicache, which I really love! - Data is modeled as a set of facts about entities, a la Datomic, forming a graph. This has been flexible enough for us to quickly build new features, like canvases and nested pages, without committing to a single document structure. - We use ProseMirror, but not for the entire document. Instead every text block is a separate ProseMirror instance. This lets us keep the document structure in our database and our schema, without having to dive into ProseMirror's every time we want to modify things. Our (somewhat messy) source is available here: https://ift.tt/D6zia1Y if you want to dig deeper! On the horizon: - Better home and document organizing features — things like search, tagging, collections etc. - We're really excited about ATProto and Bluesky and are working on a set of lexicons and an AppView for document publishing! This will include a lexicon for rich text documents, as well as one publications, and some concept of memberships or subscriptions. - More blocks! Tables, code blocks, etc. Some things we're particularly proud of: - Our list handling - Custom theming - Keyboard handling on iOS Safari (and generally works excellently on mobile) - Side-scrolling multi-page interface - Works as a PWA! Some things that still need work: - While faster than others, still a lot of work we can do on performance, both speed when working with very large documents and loading docs generally - Drag and drop and selection in general could be a lot nicer - Keyboard navigation across multiple pages - Multiplayer cursors, and generally real-time sync could be sped up greatly leveraging CRDTs (we already use YJS, just could move updates around faster) You can create a new document just by visiting https://leaflet.pub (or https://leaflet.pub/new if you're signed in) — would love to hear your thoughts and any feedback if you give it a try! March 5, 2025 at 11:25PM

Show HN: Story Jam, a music composition tool for Storytellers https://ift.tt/IoN5Tze

Show HN: Story Jam, a music composition tool for Storytellers https://ift.tt/JzCYHur Hello! My name is Cortland Mahoney. I'm a music researcher, software engineer, and producer. I made Story Jam. This doc is intended to inform you of not just the product, but the centuries of work that have led up to its implementation. Are you tired of the barriers in traditional music composition? Story Jam is here to break them down. Designed for anyone with creative ideas — from poets to film directors — our tool offers a new way to create and edit chord progressions, powered by cutting-edge music theory. *Who Story Jam is for: Storytellers* Story Jam makes music composition accessible and meaningful to anybody, with or without musical training. It is designed for those who crave musical control but struggle with traditional composition methods. This includes film directors, slam poets, and self-taught musicians. Story Jam is not music production software. Do not expect fancy sounds or synthesizers. It's purely a composition tool, designed to spark your creative process. *Try it out!* The demo is free on the homepage, no login required! This is an MVP, so it has an "introductory" feature set. Feature requests welcome; help me build the product you want. *The chord progression suggestion logic* This service is built on a novel new music theory I have developed called Monic Theory. Monic Theory is a rigorous proof for music. Not "Western music": music. Monic Theory describes the tonal space of any conventional music on earth (except noise music. For that just use `Math.random()`). It describes the static and transient function of chords, instantaneously and differentially over time. This model enables empirical measurement of chords and the relationship between chords. (hint: It is nothing you have seen in Xenharmonic Alliance. This is a new approach I have been developing over the past 10 years.) Therefore, Monic Theory enables us to describe (or "predict" if you will) a chord progression to invoke a certain feeling. *Music Composition* Three people who helped set up the environment for Monic Theory are composers Paul Hindemith and Harry Partch , and music theorist Heinrich Schenker. These folks independently contributed new ideas to music composition and analysis. All of these people lived without access to rapid computation. This is critical for the Partch case, as he computed many tables of frequencies by hand to support his compositional technique. Partch recognized the human-math-music relation in "Genesis of a Music." He includes in this text some samples of his hand-computed tables of frequency values of overtones and (importantly) undertones which support the basis is technique. Partch's techniques were so far-fetched that he had to construct new instruments to perform his scores. Similarly, I had to build a digital synthesizer to render the output of Monic Theory. (See: https://ift.tt/N8rxbzs ). *About me* I was a working composer and violinist from 2007 until 2017, and I have been a software engineer for the past 7.5 years. I was a volunteer organizer for Livecode.NYC, an NYC livecode community; and am the volunteer creator of Data Dancers, Atlanta's livecode community. I am passionate about algorithmic art and have provided about a dozen workshops over four years on the topic. https://ift.tt/CuLcUPB thank you for reading. May the flow of Spices be with you :) naltroc March 5, 2025 at 11:16PM

Show HN: Bayleaf – Building a low-profile wireless split keyboard https://ift.tt/ICSuLTB

Show HN: Bayleaf – Building a low-profile wireless split keyboard Hey HN, I built a wireless, split, ultra-low profile keyboard from scratch called Bayleaf. As a beginner I learned all things electronics, PCB-building, designing for manufacturing, and many other hardware-related skills to put this together. This case study dives into the build process and of course the final result, hope you enjoy! https://ift.tt/wqzJ8rS March 4, 2025 at 08:30PM

Show HN: Time travel debugging AI for more reliable vibe coding https://ift.tt/QLgMSPU

Show HN: Time travel debugging AI for more reliable vibe coding Hi HN, I'm the CEO at https://replay.io . We've been building a time travel debugger for web apps for several years now (previous HN post: https://ift.tt/l4Sg8zJ ) and are combining our tech with AI to automate the debugging process. AIs are really good at writing code but really bad at debugging -- it's amazing to use Claude to prompt an app into existence, and pretty frustrating when that app doesn't work right and Claude is all thumbs fixing the problem. The basic reason for this is a lack of context. People can use devtools to understand what's going on in the app, but AIs struggle here. With a recording of the app its behavior becomes a giant database for querying using RAG. We've been giving Claude tools to explore and understand what happens in a Replay recording, from basic stuff like seeing console messages to more advanced analysis of React, control dependencies, and dataflow. For now this is behind a chat API ( https://ift.tt/kM4RZvL ). We recently launched Nut ( https://nut.new ) as an open source project which uses this tech for building apps through prompting (vibe coding), similar to e.g. https://bolt.new and https://v0.dev . We want Nut to fix bugs effectively (cracking nuts, so to speak) and are working to make it a reliable tool for building complete production grade apps. It's been pretty neat to see Nut fixing bugs that totally stump the AI otherwise. Each of the problems below has a short video but you can also load the associated project and try it yourself. - Exception thrown from a catch block unmounts the entire app: https://ift.tt/Y91OL6I - A settings button doesn't work because its modal component isn't always created: https://ift.tt/V4qHPTf - An icon is really tiny due to sizing constraints imposed by other elements: https://ift.tt/048vZl1 - Loading doesn't finish due to a problem initializing responsive UI state: https://ift.tt/L3Vr4JW - Infinite rendering loop caused by a missing useCallback: https://ift.tt/qp8yJWV Nut is completely free. You get some free uses or can add an API key, and we're also offering unlimited free access for folks who can give us feedback we'll use to improve Nut. Email me at hi@replay.io if you're interested. For now Nut is best suited for building frontends but we'll be rolling out more full stack features in the next few weeks. I'd love to know what you think! https://nut.new March 5, 2025 at 12:23AM

Show HN: LeetGPU – LeetCode for GPU Programming https://ift.tt/W6ZlPew

Show HN: LeetGPU – LeetCode for GPU Programming After the incredible response to our launch of the first online CUDA playground, we have just shipped something we think all you GPU programming and ML enthusiasts will love. Introducing LeetGPU Challenges--the place to compete on writing the fastest CUDA kernels. We have problems like matrix multiplication, agent simulation, multi-head self-attention, with more dropping every couple of days! We have a lot of really cool things coming up, including support for PyTorch, TensorFlow, JAX, TinyGrad; Multi-GPU programs; H100, V100, A100 GPU options Give it a try and let us know what you think! https://LeetGPU.com March 4, 2025 at 12:52AM

Show HN: Firebender, a simple coding agent for Android Engineers https://ift.tt/UV9m3pi

Show HN: Firebender, a simple coding agent for Android Engineers Hey HN, I made a simple coding agent plugin in Android Studio called Firebender. Here’s an unedited 5-minute video where it writes tests for an Android app and iterates against the Gradle task output on its own ( https://ift.tt/epI5KFM ). You can use the plugin for free, no sign up needed, on the jetbrains marketplace. The agent can edit multiple files, run gradle tasks like tests, and use the output to improve its changes. At the end, it reports a git diff of all changes that can be accepted or rejected. Under the hood, the agent relies on Claude 3.7 sonnet and a fast code apply model to speed up edits. We built tools to give deeper access throughout the IDE like IntelliJ’s graph representation of kotlin/java code, “everywhere search” for classes, and have more integrations planned. The goal is for the agent to have access to all the IDE goodies that we engineers take for granted, to improve the agent's responses and ability to gather correct context. In order to improve the agent, there are internal evals like “tasks” and simulate the IDE which serves as a gym for the agent. This is heavily inspired by SWE-bench. Whenever tools, prompts, subagents, or models are changed, this gym helps find regressions quickly. Building the UI was surprisingly hard. I had the great pleasure of becoming proficient in Java Swing (released in ‘96 by Netscape) to get this done right. Things like markdown streaming, or streaming git diffs are prone to layout flickering where Swing tries to recalculate where elements should go. We had to write our own markdown parsing and rendering engine that repaints Swing components only when changed portions of the markdown nodes. The UI tends to focus on simplifying reviewing AI changes, something I have a feeling we’ll be doing much more in the coming years. If you’re an Android engineer, please let me know if you run into any bugs or want anything improved in the plugin! https://ift.tt/epI5KFM March 3, 2025 at 11:18PM

Show HN: Mmar – open-source, zero-dependancy, cross-platform HTTP tunneling https://ift.tt/67Rl0ZE

Show HN: Mmar – open-source, zero-dependancy, cross-platform HTTP tunneling Hey HN! For the past couple of months, I've been working on and off on a cool project I'm excited to share. mmar (pronounced "ma-mar") is an open-source, zero dependency, cross platform and self-hostable HTTP tunnel built in Go. It allows you to easily expose your localhost to the world on a public URL. You can easily create an HTTP tunnel right away for free on a randomly generated subdomain on "*.mmar.dev" if you don't feel like self-hosting. This isn't something new, in fact there's quite a few of alternative HTTP tunneling tools out there. mmar is my attempt to optimize for a super easy developer experience and simplified implementation. None the less, I had a blast building it and I think developers could find it pretty useful. Additionally, I documented the whole process of building mmar through devlogs. You can read about the thought process and implementation details here ( https://ift.tt/6OXKrHM ). If I would suggest one devlog to read, I highly recommend devlog 5 ( https://ift.tt/DdG0KQL ). I describe how I built a (very) basic DNS server just to run simulation tests for mmar (a bit of an overkill, but a fantastic learning experience). I dive deep into the DNS protocol and explain why I needed to implement it. Finally, I would love to hear your thoughts and feedback. If you try mmar out, let me know! https://ift.tt/UVBpjk9 March 3, 2025 at 01:28AM

Show HN: Interactive Intro to FM Synthesis https://ift.tt/4FPlwZj

Show HN: Interactive Intro to FM Synthesis https://ift.tt/bpPVHSi March 2, 2025 at 08:23PM

Show HN: Schedual https://ift.tt/53VL9az

Show HN: Schedual No nonsense tasks. https://schedual.app/ March 2, 2025 at 01:10AM

Show HN: Open-source tool that send UI feedback with context https://ift.tt/ZDLX8gA

Show HN: Open-source tool that send UI feedback with context https://ift.tt/iE8jLM4 March 2, 2025 at 01:11AM

Show HN: I built an app to convert ChatGPT Deep Research to PDFs with footnotes https://ift.tt/yOz8jpn

Show HN: I built an app to convert ChatGPT Deep Research to PDFs with footnotes Whilst ChatGPT Deep Research is very useful for generating in-depth reports, it's time consuming to copy, reformat the text (thousands of words) and clean referenced hyperlinks for use in a professional context. Out of frustration, I built deep research docs to help save time by automating the reformatting, cleaning links, footnote references, and conversion to shareable PDF format. Hopefully this helps you save time to focus on meaningful work. Let me know your feedback. https://ift.tt/W2gDHtE March 1, 2025 at 06:22PM