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

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/S7A4Kvj 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: Tascli, a simple CLI task and record manager https://ift.tt/qWJhE76

Show HN: Tascli, a simple CLI task and record manager https://ift.tt/U8efh7T March 25, 2025 at 12:02AM

Show HN: Search and chat with millions of court cases using AI. https://ift.tt/MoLj9QS

Show HN: Search and chat with millions of court cases using AI. https://ift.tt/YyrU9jt March 24, 2025 at 12:51AM

Show HN: Cocommit – A copilot for git commit https://ift.tt/yZXC28u

Show HN: Cocommit – A copilot for git commit I've built a lightweight copilot that integrates with Git commits, leveraging LangChain to support multiple LLM providers. I currently use it with Claude 3.7 (via Bedrock) and OpenAI’s GPT-4o, but I’d love to see how it performs with other LLMs. If you have access to any LangChain-supported LLMs, I’d really appreciate a quick test! Your feedback via GitHub Issues would be invaluable in improving the project. Thanks in advance! https://ift.tt/bxDzohu March 23, 2025 at 11:46PM

Show HN: DAPS – Prime-Adaptive Search for Discontinuous Optimization Problems https://ift.tt/KLqZpz2

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/TNvy8bD Paper: https://ift.tt/v45D91e.... https://ift.tt/TNvy8bD March 23, 2025 at 11:19AM

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

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/v8BxFsS March 23, 2025 at 03:31AM

Show HN: I Made a Language to Be JavaScript's Nanny https://ift.tt/1Bhgvom

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/jDZlvrm https://ift.tt/HncbE3x March 23, 2025 at 01:39AM

Show HN: GoCard – A file-based spaced repetition system built in Go https://ift.tt/Vlqsry9

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/gCunOQM 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/gCunOQM March 23, 2025 at 02:35AM

Show HN: Get hired faster by reaching decision-makers early https://ift.tt/EJVOW2y

Show HN: Get hired faster by reaching decision-makers early I built Insider Openings because I know how frustrating job searching can be. You spend hours tweaking resumes, writing cover letters, applying through job boards… and then? Crickets. I’ve been there, wondering if anyone even saw my application. But after years of working with startups, I noticed something most job seekers don’t see is that when a company raises funding, they’re about to grow. They start hiring fast, often before a job ever hits a careers page. That’s when the window of opportunity is wide open… but no one’s talking about it. So I thought, what if I could give job seekers a head start? A list of companies fresh off a funding round, along with direct contacts to the people actually making hiring decisions? That’s how Insider Openings was born. https://ift.tt/wT7naIH March 22, 2025 at 04:30AM

Show HN: Hyperbrowser MCP Server – Connect AI agents to the web through browsers https://ift.tt/4vSzUqD

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/N7LbXxG https://ift.tt/N7LbXxG March 20, 2025 at 10:31PM

Show HN: GizmoSQL – Run DuckDB as a Server with Arrow Flight SQL https://ift.tt/Yrm2jvZ

Show HN: GizmoSQL – Run DuckDB as a Server with Arrow Flight SQL Hi, I'm Philip Moore - the founder of GizmoData, and creator of GizmoSQL - an Apache Arrow Flight SQL Server - with DuckDB (or SQLite) back-end execution engines. GizmoSQL is a composable SQL server with Arrow Flight SQL, DuckDB, and SQLite - with the intention of making it easy to run DuckDB (or SQLite) as a server - usable by multiple people from a client (remote) computer. It also adds security (authentication) and encryption of traffic with TLS. To run GizmoSQL - see the steps in the README.md - where you can see how easy it is to run the server as well as how to connect via ADBC and JDBC from a remote client - such as DBeaver, Python, etc. The easiest way to run GizmoSQL is via Docker - but there are downloads for Linux and macOS for both x86-64 and arm64 platforms (download links in the README). Why?: As you may know, DuckDB and SQLite are embedded systems - they don't enable client connectivity, and they aren't really designed for concurrency. I've built GizmoSQL to work around that - because I believe the DuckDB engine is very powerful, and I feel like a lot of customers overpay and run distributed compute (i.e. Spark) when they don't really need to. Making it easy to have remote connectivity to DuckDB can make it easier to migrate SQL workloads from Spark or other expensive commercial platforms to this engine - with a much simpler architecture/infrastructure. It is my intention to make GizmoSQL a commercial product - licensed for production use by organizations, but free for developers to code with - evaluate, and test. A little bit of backstory: * I built the initial version of this while working for a former employer - it wasn't their core focus, so they open-sourced that early version. After I left there, I forked the product and have improved it substantially - to support concurrency of both reads and writes, improving security, as well as keeping it up to date with the latest versions of Apache Arrow and DuckDB. * This project evolved from a prototype created by the brilliant Tom Drabas. * It feels a little weird trying to make a commercial product based upon DuckDB, but MotherDuck started it :P - and I've contributed (albeit very little) to the DuckDB and Apache Arrow projects in the form of a couple of PRs. I'm really excited about this project - I have run benchmarks of this product against commercial platforms such as Snowflake and Databricks SQL - and it holds its own running the 22-query TPC-H SF1TB benchmark, especially on cost. See the graph at: https://ift.tt/hrPHvEy Getting started: Github README: https://ift.tt/YO5K2RM... DockerHub: https://ift.tt/C4O9FVg GizmoSQL homepage: https://ift.tt/hrPHvEy Phil's Github profile: https://ift.tt/UXayEcJ Thanks for your time and feedback in advance. https://ift.tt/iWcera5 March 21, 2025 at 12:45AM

Show HN: SpongeCake – open-source SDK for OpenAI computer use agents https://ift.tt/v1n2JE5

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/I3eZGOK ) - 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/I3eZGOK March 20, 2025 at 10:16PM

Show HN: I made an interactive LLM Tools guide https://ift.tt/NJs43xZ

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/3VCcizg March 20, 2025 at 01:30AM

Show HN: Codemcp – Claude Code for Claude Pro subscribers – ditch API bills https://ift.tt/2LlIKjh

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/S5rjDI6 March 13, 2025 at 11:59PM

Show HN: We built an agentic image editor that preserves the original structure https://ift.tt/FxRYDz4

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/9JAnIvz Here’s a demo: https://ift.tt/R5M7ldo 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/9JAnIvz March 19, 2025 at 11:14PM

Show HN: "Git who" – A new CLI tool for industrial-scale Git blaming https://ift.tt/3A7SIEX

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/ZWobAKT March 19, 2025 at 01:50AM

Show HN: I Made an Escape Room Themed Prompt Injection Challenge https://ift.tt/CUIJv5l

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/oYC5mrL March 19, 2025 at 01:12AM

Show HN: I Created a Fork of Ghost CMS with an AI Editor and Native ECommerce https://ift.tt/7fsi0h6

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/3kvM7I5

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

Show HN: I Built an iOS app to locate stray animals https://ift.tt/plMvqGB

Show HN: I Built an iOS app to locate stray animals https://ift.tt/Uy83TnR https://ift.tt/UfXJwhm March 18, 2025 at 03:35AM