Show HN: Deglaze Me – A Chrome extension to strip the sycophancy from ChatGPT https://ift.tt/0i4BCKR June 26, 2025 at 02:36AM
Show HN: I rawdog a MCP server from scratch in Zig. No SDK Some time ago I wanted to write a MCP server in Zig but found out there's no real JSON-RPC support in Zig, which MCP needs for communication. I ended up developing a JSON-RPC 2.0 library in Zig and more [1], which had its challenges. So I finally was able to put together a MCP server in Zig. It's built from scratch implementing the protocol messages from the MCP JSON schema. It's actually quite magical to have the LLM calling my MCP server [2]. The work is not too bad. Most of the hard work has already been done in the JSON-RPC library. [1] https://ift.tt/B2GwSWe [2] https://ift.tt/znmUr9I... https://ift.tt/JwCPW6m June 25, 2025 at 11:44PM
Show HN: Logcat.ai:AI-powered observability for Operating Systems(Android+Linux) Hello HN! I'm an Android OS engineer. I've worked with AOSP and Linux kernels all my career and always wondered about lack of sophisticated tools to debug and analyze system-level logs. Always had to resort to manually skimming through large log files to find something I needed to. With the rise of LLMs and the AI-age, I felt it was a great opportunity to build something for OS engineers, which is what led to logcat.ai! We are building the industry-first observability platform for system level intelligence. Think "Datadog for operating systems" instead of applications. Currently, we support Android and Linux - more platforms on the way. With Android we offer: 1. logcat analysis: Ability to analyze logcat logs for root cause analysis of system issues with natural language search. Unlike, Firebase which is an app-level observability, logcat.ai provides intelligence at OS level spanning bootloader, kernel and framework layer. 2. bugreport analysis: As you know a bugreport is a super-verbose snapshot of an Android OS collected at a point of time. Analyzing these logs takes hours and sometimes even days. We are working to bring this down to minutes! Analysis of memory, cpu, process stats to infer memory pressure levels, system stress, and nail down the processes responsible for it, identify performance bottlenecks and memory leaks across the system. For Linux we offer: dmesg (kernel log) analysis to help identify issues at Linux kernel level. We plan to add support for different Linux distros with their own logging pretty soon. Our goal is to build a single-pane-of-glass observability experience for operating systems worldwide, something that's never been done before. Our website may not reflect all the features a.t.m but we have a lot of things cooking! Ask us anything. We are providing free beta access for a period of time. We'd love your feedback and comments on what you think about logcat.ai! https://logcat.ai June 24, 2025 at 10:53PM
Show HN: TNX API – Natural Language Interactions with Your Database Hey HN! I built TNX API to make working with databases as simple as asking a question in plain English. What it does: - You write a natural language prompt (e.g., "List products with price > 20 USD") - Our system turns it into SQL and runs it - You get actual results, optionally visualized - Your data stays private – nothing is stored, the AI doesn‘t see it, and the API forgets immediately after replying Why I made this: Writing SQL for routine questions is https://ift.tt/kHTUjPl still a blocker for many teams. I wanted a privacy-first, plug-and-play API that just works with natural language. TNX doesn’t just translate — it executes the queries and returns actual answers (not just SQL). Examples: - You ask: “Total sales by product category this year?” → TNX replies: [furniture: $43,000, electronics: $12,000] + “Want a chart for this?” - You ask: “Which customers didn’t order in the last 90 days?” → TNX replies with names or IDs and offers follow-up actions Notes: - Built on modern AI models (small + fast) - No need to send full database dumps – just metadata/config + real-time access - Easy API integration - (Bonus: If you should be interested, I‘d handle setup + customization for you) Try it out: https://ift.tt/kHTUjPl (user name: „hi@tnxapi.com“, password „1“ (so it's harder to forget)) (example promts: - „Please give me the name, ShortDescription and price of product with idpk = 20.“ or - „Please list me all product prices from idpk 10 to 20.“ and then - „Please list me all product prices from idpk 10 to 20.“ (I copied some of my databases for this test, I am sorry for the data being in German xd)) Cheers, Lasse Tramann (Feel free to reach out to hi@tnxapi.com : ) ) https://ift.tt/kHTUjPl June 24, 2025 at 12:48AM
Show HN: Pickaxe – a TypeScript library for building AI agents Hey HN, Gabe and Alexander here from Hatchet. Today we're releasing Pickaxe, a Typescript library to build AI agents which are scalable and fault-tolerant. Here's a demo: https://ift.tt/aix7qYd... Pickaxe provides a simple set of primitives for building agents which can automatically checkpoint their state and suspend or resume processing (also known as durable execution) while waiting for external events (like a human in the loop). The library is based on common patterns we've seen when helping Hatchet users run millions of agent executions per day. Unlike other tools, Pickaxe is not a framework. It does not have any opinions or abstractions for implementing agent memory, prompting, context, or calling LLMs directly. Its only focus is making AI agents more observable and reliable. As agents start to scale, there are generally three big problems that emerge: 1. Agents are long-running compared to other parts of your application. Extremely long-running processes are tricky because deploying new infra or hitting request timeouts on serverless runtimes will interrupt their execution. 2. They are stateful: they generally store internal state which governs the next step in the execution path 3. They require access to lots of fresh data, which can either be queried during agent execution or needs to be continuously refreshed from a data source. (These problems are more specific to agents which execute remotely -- locally running agents generally don't have these problems) Pickaxe is designed to solve these issues by providing a simple API which wraps durable execution infrastructure for agents. Durable execution is a way of automatically checkpointing the state of a process, so that if the process fails, it can automatically be replayed from the checkpoint, rather than starting over from the beginning. This model is also particularly useful when your agent needs to wait for an external event or human review in order to continue execution. To support this pattern, Pickaxe uses a Hatchet feature called `waitFor` which durably registers a listener for an event, which means that even if the agent isn't actively listening for the event, it is guaranteed to be processed by Hatchet and stored in the execution history and resume processing. This infrastructure is powered by what is essentially a linear event log, which stores the entire execution history of an agent in a Postgres database managed by Hatchet. Full docs are here: https://ift.tt/LvZJ5NC We'd greatly appreciate any feedback you have and hope you get the chance to try out Pickaxe. https://ift.tt/lo1D02a June 20, 2025 at 09:37PM
Show HN: A Tool to Summarize Kenya's Parliament with Rust, Whisper, and LLMs Bunge Bits summarizes long parliamentary sessions from the Kenyan National Assembly and Senate. Built with Rust, Whisper v3, and GPT-4o. Sessions are typically 3–7 hours long, mixing English and Swahili. This tool transcribes, chunks, and summarizes them to make political content more accessible and searchable for the public. https://ift.tt/6WsFVSc https://ift.tt/XYoLFWj June 22, 2025 at 11:03PM
Show HN: Remotely Good – AI-powered job platform for remote, mission-driven work Hi HN! I’m Theresa, founder of Remotely Good, a one-stop platform to help people find remote and hybrid jobs with mission-driven orgs—nonprofits, campaigns, social enterprises, and public agencies. Remotely Good offers: -Curated job listings by salary, cause area, and location -AI-powered career tools (resume enhancer, job matching, cover letter gen, interview prep) -A coaching marketplace (coming soon!) for affordable 1:1 guidance -Volunteer roles, activism opps, org culture insights, and more I’ve built MVPs of several tools, and I’m now validating interest in upcoming features—including an AI voice career coach and more. I’m looking for at least 50 early users to sign up for premium access and beta tools at remotelygood.substack.com Feedback is gold—please check it out and fill out this short survey: https://ift.tt/KHFx0h4 Try it out: https://ift.tt/I8mdcBz Feedback survey: https://ift.tt/KHFx0h4 Twitter/IG: @remotely_good Would love your thoughts on: Are these tools actually helpful to social impact jobseekers? Any features I’m missing? How could I better reach first-gen and mission-driven users? Thanks for reading! https://ift.tt/I8mdcBz June 22, 2025 at 10:56PM
Show HN: Good old emails and LLMs for automating job tracking So I spent the last few days building Jobstack. The logic is quite simple. You apply to jobs and you get emails, you trade emails back and forth from interviews, questions and others until the role is either accepted or you are rejected. Also easy to apply to hundreds of roles and not being to know where you stand easily. With Josbtack, you sign up, get a unique email and forward emails to the url. And it uses LLMs to extract company details , tries to find information online about them and presents that to you. Every email you forward becomes part of your timeline with the company. It also tracks rejection, offers from the emails too and gives you a nice stats dashboard amongst others. Using Gemini 2.5 pro right now. No data stored not in any way. After extraction, it’s discarded. Even “AI chats with the company” aren’t stored https://jobstack.me June 22, 2025 at 03:07AM
Show HN: Swift UI app for extracting beer information by just taking photos I would like to share Swift UI app for extracting beer information by just taking photos. It is based on Gemini API and you can easily use this as reference to create an AI supported iOS app. https://ift.tt/A3EL7X2 June 21, 2025 at 03:49PM
Show HN: Inspect and extract files from MSI installers directly in your browser Hey everyone! I'm excited to share a small web app I built that allows you to view and extract the contents of Windows MSI installers directly in your browser. It's essentially a web-based "lessmsi" powered by Pyodide. You can try it out at: https://ift.tt/I6WDVuA My motivation for building this was from part of my day job -- I often get Windows MSI installers and need to extract files while preserving the relative directory structure and filenames, as they would appear after a full installation. The existing tools I found were good but limited in which platforms they support: lessmsi works great on Windows, while msitools works for Linux/macOS. Neither is a truly cross-platform solution that works on any major OS. So we developed pymsi (a pure Python library, available on GitHub at https://ift.tt/1PBpQOs ) to handle reading and extracting MSI files from Python. Then I realized that since pymsi has no native dependencies, it could potentially run in a web browser using Pyodide. After a bit of "vibe coding" and fixing some "hallucinated" functions/classes that don't exist in pymsi, the result was this client-side web app. If you need an MSI file to experiment with, older versions of PowerToys included the installer in .msi form, such as this one: https://ift.tt/np1REFD.... Note that the underlying pymsi library hasn't been extensively tested against a bunch of MSI installers yet, so there might still be lingering bugs. If you come across any issues, please don't hesitate to report them in on the GitHub repository ( https://ift.tt/egO1mNQ ). I'd love to hear your feedback and answer any questions! https://ift.tt/I6WDVuA June 21, 2025 at 01:34AM
Show HN: Vpuna AI Search – A semantic search platform Dear HN Community, I am a long time fan and first-time contributor. I just launched a developer focused semantic search platform and wanted to share it with the community. The idea is simple: upload structured or unstructured documents, select the fields you want to index and tag as metadata, and instantly get a clean search API you can use in your own app. Here is what it currently supports: - Manage your own tenants and projects - Upload .json and .txt files (support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose 3 APIs: search, upload document (embeddings), and delete document - Manage your own API keys - Uses CPU based sentence-transformers/all-MiniLM-L6-v2 for embeddings ( support for other local and online models are coming soon) LLM summarization and Model Context Protocol (MCP) support are on the roadmap Why I built it: In my consulting work, I kept seeing client wanting to move beyond basic keyword search and integrate semantic search with optional summarization. Most existing tools are either too expensive, too restrictive, or require custom layers (like custom Python servers for pre processing queries and embeddings). I wanted something API first, developer friendly, and easy to self host or use out of the box. This is the first release, and I would love your feedback. Would you use this? What is missing for your use case? Here is the README with all the links https://ift.tt/7G9jS8k Thank you for your time. https://ift.tt/Gu7UkpK June 20, 2025 at 11:24PM
Show HN: Gaussian Random Walker Simulation in JavaScript Was going through Nature of Code and came across the idea of Gaussian Random number generator, so build a simulation that generated random walkers who walk based on this and also the walkers are generated based on random numbers from a gaussian distribution. Added additional features and toggles that make it possible to create art (like setting persistent to true), colors, exporting as gif and image. https://ift.tt/whOljQi June 20, 2025 at 01:15AM
Show HN: EnrichMCP – A Python ORM for Agents I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your data model using SQLAlchemy, APIs, or custom logic, and EnrichMCP turns it into a type-safe, introspectable interface that agents can discover, traverse, and invoke. It auto-generates tools from your models, validates all I/O with Pydantic, handles relationships, and supports schema discovery. Agents can go from user → orders → product naturally, just like a developer navigating an ORM. We use this internally to let agents query production systems, call APIs, apply business logic, and even integrate ML models. It works out of the box with SQLAlchemy and is easy to extend to any data source. If you're building agentic systems or anything AI-native, I'd love your feedback. Code and docs are here: https://ift.tt/XMymSAV . Happy to answer any questions. [1]: https://ift.tt/XMymSAV [2]: https://ift.tt/0jERZ1O https://ift.tt/XMymSAV June 19, 2025 at 11:02PM
Show HN: Simstack, SSH escape room for developers I built a realistic prod system under heavy pressure where you SSH in and solve real problems. You get your own server (real box) and have to fix various things up under fire. a friend told me it reminded them of DOOM for SREs, another called it a "flight simulator" because you can do anything (and reboot if you crash). someone else said it was like "an escape room for engineers", in that you have to find your own way around an unfamiliar box and solve puzzles. idk, maybe it's fun. try it! how it works: you get two Hetzner servers: a traffic generator (real traffic from NYC taxi data highly compressed to 12k rps) firing tons of requests at a user server, which has some (realistically) broken stuff trying to get that data to a chart. your job is to get it working and get the whole system latency down. You can use whatever tools or techniques you like to do so. so far I've seen people messing around in databases, adding caching, rewriting services in go. There's no one right solution! why I'm building it: I was a school teacher 15 years ago and have been training developers for the last 10. most dev training (tutorials, toy projects &c) feels nothing like the "real job". I wanted to see if we can make training more realistic, challenging, fun. https://simstack.io June 19, 2025 at 10:03PM
Show HN: VerifyWise, an open-source governance platform for AI compliance Hi all, Gorkem here. I started VerifyWise [1] to make AI governance less painful. Today, we’re launching our open-source platform to help teams take control of their AI compliance process. VerifyWise helps organizations navigate AI governance by providing audit readiness, risk registers, model fairness checks, and compliance documentation. Those are all built into a single platform you can self-host. We’ve been quietly building VerifyWise for a while, and we’re now at a place where it’s ready for more teams to try. Since we started, we've: - Released our core platform on GitHub: https://ift.tt/7uoYFjh - Added workflows for EU AI Act and ISO 42001 with exportable audit trails - Built a bias & fairness module with Fairlearn integration - Developed a training registry for tracking internal AI literacy - Shipped risk register and vendors/vendor risks module - Opened our Figma for design contributions We’re aiming for full transparency and community-led development. If you're building with AI and feeling the pressure of upcoming regulations, we’d love to hear your feedback. [1] GitHub: https://ift.tt/7uoYFjh [2] Features: https://verifywise.ai [3] Documentation: https://ift.tt/koR3jQw https://verifywise.ai/ June 18, 2025 at 11:17PM
Show HN: I built a FOSS tool to run your Steam games in the Cloud I wanted to play my Steam games but my aging PC couldn’t keep up, so I built Cloudy Pad - a tool to run Steam in the Cloud (GitHub: https://ift.tt/3ZJA7nV ) It runs on AWS, Azure, GCP, Scaleway and Paperspace with various cost optimizations and safeties: - Cost alerts - Auto stop inactive instances to avoid unwanted cost - Disk snapshots and data cleanup for cost efficiency - Spot instance support Under the hood: a Linux VM and a container running Sunshine (a streaming server https://ift.tt/O1f82eZ ) with Steam. Most Windows games work just fine thanks to Proton. It streams effortlessly at 1080p 100+ FPS - I recently played Baldur’s Gate III and Clair Obscur in Ultra, ran like a breeze. Cost-wise it’s great for occasional players: ~30h or less per month typically cost less than 25$. Though admittedly for heavy gamers it may be less cost-effective due to cloud pricing. I’d love feedback from the HN community ! https://ift.tt/3ZJA7nV June 18, 2025 at 12:27AM
Show HN: TagLib-Wasm, a TypeScript-first music tagging library I was RIF'd last week so I finally had the chance to try some non-AIDE solutions (e.g. OpenAI Codex, Google Janus, Claude Code) for the purpose of building something non-trivial. I decided to create a CLI utility related to the care and feeding of my music library. Almost instantly, I ran into a problem: There are no complete music metadata libraries for TypeScript/JavaScript runtimes. TagLib ( https://taglib.org/ ) looked great, but I couldn't find any good TypeScript wrappers for it, and I wanted to avoid including OS-specific binaries in a library that might be distributed as part of standalone tools. Unfortunately, the TagLib project doesn't (yet) include a native Wasm build. (Note: I'm not a professional software engineer. My roles are historically developer relations, product management/strategy, and product marketing. I have a computer science background and have helped lead teams building extremely complex systems, so this project is somewhere between "real software engineering" and "vibe coding".) After some research and experiments, I settled on a stack of Deno, Wasm, Emscripten, and Emscripten Embind (which I had never heard of before starting this project), with Claude Code as my "pair programmer". I've built stuff with TypeScript (targeting Node.js as the runtime) before, but this was my first experience with everything else. Claude Code has surprised me several times during the development of TagLib-Wasm. Here's a response to questions I had about an earlier suggestion it had made regarding improving type safety: https://ift.tt/3ocI4CD Here's why I think TagLib-Wasm is interesting: → It's the only complete library for any-format music metadata management for TS/JS developers. → This is still somewhat aspirational until I create a suite of tests for each runtime, but I’m targeting true cross-runtime support — Deno, Node.js, Bun, Electron, Cloudflare Workers, and browsers. → I’m not aware of another library that can operate as easily with memory buffers as with files. Surely there must be one, but I suspect it’s unique in TS|JS land. After starting this, I ran into the creator of go-taglib (sentriz/go-taglib, not wtolson/go-taglib) on HN, who had also arrived at a Wasm-based solution for his Golang library. I then borrowed aspects of his developer experience to provide a "Simple API" variant for more casual use of the library. https://ift.tt/DjO42Sa June 17, 2025 at 09:58PM
Show HN: Chawan TUI web browser A terminal-based web browser in Nim.[1] Has acceptable (YMMV) CSS rendering, some JS support, and inline images (sixel/kitty). It can also use various protocols other than http(s) such as (s)ftp, gopher, gemini, ... Chawan started out as a w3m clone, and the UI still resembles it. However, the architecture has turned out quite different, with pages loaded in separate processes, and protocol/file type handling separated out into external binaries. An interesting result is that you can even register decoders for custom inline image formats, although practical use cases of this are rather minimal. There is a gallery showcasing some websites being rendered here: https://ift.tt/tXuzYsT [1]: https://nim-lang.org https://ift.tt/hBREP2c June 17, 2025 at 02:18AM
Show HN: Nexus.js - Fabric.js for 3D I was looking for a tiny library to easily transform both 2D & 3D objects with simple mouse / touch controls and a fixed camera, in the browser. Like a simple 3D editor but without requiring the user to be a Blender expert. Couldn't find anything lightweight, so I’m building one. Think Fabric.js but for 3D. Built entirely with Three.js / R3F. Borrowed some inspiration from VR/AR interaction systems for controls. Feel free to play with it and let me know what you think! https://ift.tt/Ycd3qAE June 17, 2025 at 02:03AM
Show HN: Drop – Svelte like compiler for Web components I've built a small compiler, heavily inspired by Svelte, that leans on modern web standards and proposals, namely Web Components, HTML Modules, and Signals. Although web components never really took off, I still believe they have strong potential as a foundation for building web applications without relying on a framework. GitHub: https://ift.tt/nvPol3L Blog post: https://ift.tt/MxZU0ch... I’d appreciate some feedback before committing more time to this project ! https://ift.tt/nvPol3L June 17, 2025 at 12:25AM
Show HN: Canine – A Heroku alternative built on Kubernetes Hello HN! I've been working on Canine for about a year now. It started when I was sick of paying the overhead of using stuff like Heroku, Render, Fly, etc to host some web apps that I've built. At one point I was paying over $400 a month for hosting these in the cloud. Last year I moved all my stuff to Hetzner. For a 4GB machine, the cost of various providers: Heroku = $260 Fly.io = $65 Render = $85 Hetzner = $4 (This problem gets a lot worse when you need > 4GB) The only downside of using Hetzner is that there isn’t a super straightforward way to do stuff like: - DNS management / SSL certificate management - Team management - Github integration But I figured it should be easy to quickly build something like Heroku for my Hetzner instance. Turns out it was a bit harder than expected, but after a year, I’ve made some good progress The best part of Canine, is that it also makes it trivial to host any helm chart, which is available for basically any open source project, so everything from databases (e.g. Postgres, Redis), to random stuff like torrent tracking servers, VPN’s endpoints, etc. Open source: https://ift.tt/9IplYe1 Cloud hosted version is: https://canine.sh https://ift.tt/9IplYe1 June 16, 2025 at 11:57PM
Show HN: Seastar – Build and dependency manager for C/C++ with Cargo's features Hi hackers! I'm a self-taught solo teenage dev working on Seastar, a unified build system and dependency manager for C and C++. It is capable of compiling and linking projects, managing recursive dependencies and headers, and even has a template system -- your C++ library is one `seastar new mylib --lang c++ --lib` away! Also, everything is configured in TOML, because TOML is awesome. C is one of my favorite languages, but I usually end up writing stuff in Rust because I love Cargo. Unlike C, Cargo handles the dependencies, linking, globbing, and so much more for you. So I wrote Seastar to give that function in C and C++. What's planned? A package registry like crates.io, compatibility with CMake projects, commands to migrate, and so much more. If you have more ideas, please give them! I am trying to reach 150 stars by the end of summer, and thus a star would be greatly appreciated! This project is still in development, and a star helps out a ton. https://ift.tt/W3daAJZ June 16, 2025 at 01:06AM
Show HN: Get nutrition labels for any recipe (YouTube, Website, Text, Image) Heya HN, I love watching cooking videos on YouTube, and one day an idea sparked: Can I instantly get the nutritional values for this recipe? The problem: Great recipes are everywhere, but figuring out the actual nutrition is a chore. Most of us who track calories or macros have to: * Manually get nutritional info for every ingredient. * Wrestle with spreadsheets for calculation. * Or just give up and eat that lasagna. Let’s be real: no one enjoys that, especially when you just want to cook and eat your food. So I built Recp.ai. It’s a free tool that pulls the nutrition data for you. Just give it a YouTube link, a recipe from a website, a photo of a cookbook page, or even just pasted text. It identifies the ingredients and quantities, matches them against the USDA database, and gives you a full nutrition label. It started as a script to pull ingredients from YouTube transcripts using Gemini. Then I got obsessed. Why not any website? So I added a scraper. What about any list of ingredients? Added text parsing. How about a cookbook? Now it uses Google Cloud Vision so you can just upload or snap a photo of the recipe. I wanted to build something lightweight, fast, and simple that you'd actually use. No sign-ups. No ads. Privacy-first. What I’m happy with? It works on a huge variety of sources. I fed it a photo of my old Escoffier cookbook recipe and voila - it works. What's next? I'm planning to use Google Cloud Vision to identify the dish, say "Beef Pho", it'd figure out its typical ingredients, and generate an estimated nutrition label. It would then ask users to confirm the dish, so the result is as accurate as possible. Any suggestions here if this would be the right way? Would love to hear your thoughts, and if this feels like something that would with your meal prep. Just sharing something I built because I wanted it to exist and solve a problem. June 16, 2025 at 12:23AM
Show HN: ZeroConfigDNLA – Easy to run media server in Python The goal was to be able to serve videos from my laptop in one command. Give it a go and let me know if it works for you! If you run into issues, please provide log output and the source and destination device info (make/model/etc) https://ift.tt/nx6udy1 June 15, 2025 at 03:46AM
Show HN: AnyCrawl v0.0.1-alpha.5 – custom user-agent and richer scraping API ## [0.0.1-alpha.5] - 2025-06-14 ### Added - Integrated AWS S3 storage support with new `S3` class and environment variables for seamless file uploads and retrievals. - Introduced `FileController` for serving files from S3 or local storage with robust path validation and error handling. - Added multiple content transformers (Screenshot, `HTMLTransformer`) improving HTML/Markdown extraction and screenshot generation. - Extended scraping capabilities with new options: output `formats`, `timeout`, tag filtering, `wait_for`, retry strategy, viewport configuration, and custom user-agent support. - Added Safe Search parameter to `SearchSchema` for filtered search results. - Refactored engine architecture with a factory pattern and new core modules for configuration validation, data extraction, and job management. - Implemented graceful shutdown handling for the API server and improved logging for uncaught exceptions / unhandled rejections. - Added Jest configuration for API and library packages with ESM support and updated test scripts. - Updated CI workflows to publish Docker images on version tags. - Expanded README with detailed environment variable descriptions and API usage examples. ### Changed - Refined error handling in `ScrapeController` and `JobManager`; failure responses now include structured error objects and HTTP status codes. - Enhanced `BaseEngine` with explicit HTTP error checks and resilience improvements. - Updated OpenAPI documentation to reflect new scraping parameters and error formats. - Migrated key-value store name to environment configuration for greater flexibility. - Enhanced per-request credit tracking in `ScrapeController` and enhanced logging middleware to include credit usage. ### Fixed - Improved job failure messages to include detailed error data, ensuring clearer debugging information. - Minor documentation corrections and clarifications. https://ift.tt/krvQ9nj June 14, 2025 at 11:18PM
Show HN: I built a Mac app to restore Dock-click minimize and avoid tiny buttons Hey HN, I'm the developer behind Click2Minimize. This app is my personal fix for two long-standing frustrations with the macOS interface. First, I wanted to restore Dock-click minimize. On other operating systems, I was used to clicking an app's icon to minimize its window—a simple, fast toggle. On a Mac, that second click does nothing, which always felt like a dead end in my workflow. Second, I was tired of having to deal with the tiny buttons. So much of window management—minimizing, maximizing, arranging—forces you to stop what you're doing, carefully aim your cursor at one of three small dots, and click. It's a constant micro-interruption. The Solution: A Fluid, Mouse-First Approach ----------------------------------------------------- Click2Minimize is a lightweight, native utility that turns your entire window title bar into a powerful gesture area. The goal is to let you manage your workspace without ever needing to aim for those little dots. * Consistent Dock Behavior: Click on Dock icon to minimize/hide the app. * Minimize Window Under Mouse: Simply hold down left mouse button and click the right one, or double-click the right button. * Maximize Window Under Mouse: Simply hold down right mouse button and click the left one, or double-click the notch area. * Snap Window to Left/Right: Simply hold down right button and rock the scroll wheel, or use fn key while swipe on trackpad. * Restore Window Size & Position: Holde down right button and click middle button, or user fn key with right-click on trackpad. * And many other useful gestures, such as the App Switcher and changing workspaces, were also included. Most importantly, it handled macOS full-screen mode smoothly and no longer felt intrusive. It is designed to resemble a missing feature of the operating system, with all gestures being highly intuitive, especially when using a mouse, as there is no need to remember keyboard shortcuts or bring the window to the front. Feedback, Discount & Free Licenses: ---------------------------------------- I'm here all day and would love to hear your thoughts. I genuinely want to make this app better, and the HN community's feedback is invaluable. Furthermore, I'll be sending a completely free license to the commenters with the most thoughtful feedback, bug reports, or feature suggestions I see. You're not just buying an app; you're helping to shape it. Link: https://ift.tt/yed0qGn https://ift.tt/yed0qGn June 14, 2025 at 11:51PM
Show HN: Shelly, terminal assistant that translates natural language into shell Describe what you want in plain English, and Shelly will figure out the right commands, explain what they do, and run them for you, with guardrails to ensure that you only run commands you feel safe running. https://ift.tt/jN4uGtH June 14, 2025 at 04:13AM
Show HN: Gem and I built an open-source app to learn Japanese I've been fascinated by the Japanese language and culture for a while now, and I wanted to create a simple, no-fuss way for beginners to get started. So, I built *[Nihongo]( https://nihongo.site/ )*, a free and open-source web app designed to help you learn the fundamentals of Japanese in about a month. The name of the app, Nihongo (日本語), is the Japanese word for the "Japanese language." You can check it out here: *[ https://nihongo.site/ ]( https://nihongo.site/ )* And for those who like to tinker, the code is available on GitHub: *[ https://ift.tt/lvwD1PA ]( https://ift.tt/lvwD1PA )* The "learn in 30 days" idea isn't about achieving fluency in a month, which we all know is impossible. Instead, the goal is to provide a structured and manageable learning path that covers the essential building blocks of the language in a short period. I wanted to create something that feels less intimidating than many comprehensive (and often expensive) resources out there. *What the app covers:* The app is structured into a series of lessons that you can follow at your own pace. It starts with the absolute basics and gradually introduces more complex concepts: * *The Japanese Writing Systems:* Detailed lessons on Hiragana and Katakana, the two phonetic scripts that are the foundation of written Japanese. * *Essential Grammar:* I've focused on the core grammatical structures you need to start forming your own sentences. * *Core Vocabulary:* You'll learn a curated list of high-frequency words that are immediately useful in everyday conversation. * *Practical Phrases:* The app includes common greetings and phrases that you can start using right away. *Why I built this:* I started building this project while testing the latest Gemini 2.5 models on Google AI Studio, and with the Code assistant and Cloud Run I was able to get it to production in less than 3 hours. This as a personal project to solidify my own understanding of Japanese and to build something useful for others who are just starting their learning journey. I'm a big believer in the power of open-source and wanted to create a resource that is accessible to everyone. This is very much a passion project, and I'm still actively working on it. I'd love to get your feedback, suggestions, and of course, any contributions on GitHub are more than welcome. Let me know what you think! I'm here to answer any questions you might have. https://nihongo.site June 14, 2025 at 04:34AM
Show HN: StellarSnap – Explore NASA APODs, simulate orbits, learn astronomy I built StellarSnap as a calm, ad-free space to explore NASA’s Astronomy Picture of the Day (APOD) and learn astronomy along the way. What it includes: - A clean APOD archive browser with a Random APOD button - A growing Glossary with term highlighting across the site - A 2D Orbit Simulator where you can test satellite motion with real physics - A deeper Encyclopedia, still early, but expanding - Subtle touches like “see past APODs using this term” - And more to come It’s entirely ad-free, cookie-free, and not affiliated with NASA, but I was honored to have StellarSnap mentioned on the official APOD About page by Professor Robert Nemiroff: https://ift.tt/DSXJOfx Always open to ideas, critiques, or ways to make it better. https://ift.tt/A8lEqcr June 13, 2025 at 10:32PM
Show HN: Dead simple clock for hidden menubar users I love keeping my menu bar hidden for a cleaner, distraction-free workspace. But constantly moving my cursor to the top just to check the time got annoying. IYKYK. So I built Corner Time - a minimal app that displays the current time in a carefully positioned screen corner, gives you instant time access while keeping your menu bar hidden. Quite simple, but it's genuinely improved my daily workflow. Features: • Always-visible time display • Customizable time format • Customizable font style I've been dogfooding this for weeks and it's become essential to my setup. With more Mac users embracing hidden menu bars (especially since recent macOS updates), figured others might find it useful too. Currently free on the Mac App Store - would love feedback from fellow hidden menu bar enthusiasts! https://ift.tt/HWt7LRs June 13, 2025 at 11:27PM
Show HN: I rebuilt the recruitment process from the ground up Hi HN Community, Recruitment software is everywhere. The market seems saturated. Every other day there’s a new ATS or “all-in-one” platform promising to fix hiring. But let’s be real — recruiting still sucks. Why? Because most tools are just reskinned versions of the same broken process: resume parsing, email campaigns, messy workflows, and outdated data. Some throw in a ChatGPT prompt here and there and call it “AI-powered.” But if we’re still stuck in the same flawed flow, it doesn't matter how modern the UI is. I’ve felt this pain personally — both as a recruiter and a job seeker. That's why I built Chronoflow — not just another ATS, but a reimagined recruitment system that actually works. --What makes it different: No resume parsing. No data entry. Candidate pools build themselves as soon as someone accepts your job invite. --No email campaigns. You already have the latest candidate data, and the platform shows you exactly who to engage. --No endless back-and-forth. Job invites include everything — replacing pre-screening calls and endless follow-ups. --Candidates get live updates and AI-generated feedback if rejected — improving their experience and keeping your brand strong. --Recruiters focus on decision making and building relationships, which is important for business development. Chronoflow is built for people who are tired of trying “yet another ATS” that solves 10% of the problem. If you're curious to see what a rebuilt hiring cycle looks like that drastically reduces time to hire and on top of that makes recruitment transparent and enjoyable, I'd love for you to give Chronoflow a try. Happy to answer any questions. And if you've worked in recruiting, would love to hear what frustrates you most — maybe I can solve that too. Thank You https://chronoflow.ai/ June 13, 2025 at 12:34AM
Show HN: ChatToSTL – AI text-to-CAD for 3D printing Hey HN, I'm a beginner at CAD so I built an app that does it for me ;) Describe a part and ChatToSTL writes the OpenSCAD code, shows a live render with size sliders, then exports the STL/3MF file. Because the output is parametric, it's easy to modify (unlike mesh models like Shap-E or DreamFusion). Try it (needs your own OpenAI key): https://ift.tt/mdhnzBa How it works: Text prompt → o4-mini generates OpenSCAD code → live render + sliders → refine in chat → export. Examples & Code: * Walkthrough + real prints (bowl, hook, box, door stop): https://ift.tt/pKnwtYL... * 90-sec demo: https://www.youtube.com/watch?v=ZK_IDaNn1Mk * MIT repo: https://ift.tt/8XlGgmP Current limitations (it's not replacing Fusion 360 anytime soon): - Simple shapes only. Even a mug can end up with a misplaced handle - Works best with CAD-style language ("extrude 5mm") - AI can't see the render, so no self-correction yet I'm particularly interested in feedback on improving the 3D generation quality: should I add vision feedback so that it can self critique? use CADQuery instead of OpenSCAD? use a different model? Thanks! Nico https://ift.tt/mdhnzBa June 12, 2025 at 11:28PM
Show HN: AuraCoder – Gen AI Learning Platform Hey HN, I've been pouring my time into this side project and I think I finally got an MVP up! I'm really excited about it. I'm really passionate about combining LLMs and learning. It seems like one of the best firsts for the tech. And so I built a site where all the content is generated. As I've been building, I'm always torn between building something more general purpose where you can learn anything vs building something targeted where the generation can be more tailored. Currently, its the latter so the site is focused on data structures and algorithms. That's something I've ground out recently so just familiar with what good content might look like and it was helpful in getting the prompt engineering to generate decent content. The site can generate both Lessons and Challenges. And they are a bit tailored to you. You can set settings about what kind of preferences you have. Tone of voice, depth, even an open text that gets feed into the prompt. I tried "Include a cat joke in every lesson" and I thought that was pretty entertaining It also takes into account your current skill level on different concepts. But I also think I need to lean in more on the customization. That seems to be the biggest way AI generated content can differentiate. I think its been hard to generate content that's really as good as human expert generated stuff, but it can be tailored to the user. So really interested in ideas in that vein. And in general, any advice is greatly welcomed. Also of course willing to AMA. Happy to answer any questions about the tech stack, the apps architecture, etc Sorry the site requires sign-up. I've thought about allowing anonymous users, but haven't implemented that yet. However, the site is free, and I'm not even doing any kind of email verification. So I won't judge you if you go with "some-fake-email@example.com" Hope your day is going well and all the best! https://auracoder.com/ June 12, 2025 at 07:31AM
Show HN: Eyesite - experimental website combining computer vision and web design I wanted Apple Vision Pros, but I don’t have $3,500 in my back pocket. So I made Apple Vision Pros at home. This was just a fun little project I made. Currently, the website doesn't work on screens less than 1200x728 (Sorry mobile users!) It also might struggle on lower end devices. For best results, have a webcam pointing right at you. I tested my website with a MacBook camera. Any comments, questions, or suggestions are greatly appreciated! blog: https://ift.tt/es7chML check it out: https://ift.tt/j4LSfHB github: https://ift.tt/nqDRPQz https://ift.tt/es7chML June 12, 2025 at 06:07AM
Show HN: The Roman Industrial Revolution that could have been This is a proof-of-concept comic book that asks: What if knowledge from 2025 reached Rome and kicked off an industrial revolution? The story follows two voices: - Ulysses, a present-day archaeologist who finds a glowing slate in the dig site. - Marcus, an educated household slave in 79 AD who replies on that slate. Why I’m posting: I’d love narrative feedback. – Does the story make sense? – Are Ulysses and Marcus believable? – Which directions would you explore next (politics, tech, moral fallout)? What’s live today - First issue, 25 rough pages. - No paywall; just a PDF. Next steps Regular releases toward a 8 or 10 issues collection. I’ll revise based on your critiques and wild speculations. Grateful for any thoughts on pacing, historical plausibility, or character depth. Thanks for reading! https://ift.tt/EXsuBFO June 12, 2025 at 05:21AM
Show HN: I made a 3D printed VTOL drone I made this 130 mile capable VTOL drone in only 90 days. It can fly for 3 hours on a single charge. That would make it one of the longest range and endurance 3D printed VTOLs in the world. This is the thing I'm most proud of building to date! Before this project, I was a total CAD, 3D printing and aerodynamic modeling beginner. I had only built and flown one VTOL before. SPECS Wingspan: 3.9 ft (1200 mm) Length: 2.5 ft (770 mm) Weight: 5.6 lb (2.55kg) Airframe: foaming PLA (Bambu PLA-Aero) and PETG structural parts printed on A1 printer, CFRP booms and spars Battery: Li-ion silicon anode Amprius SA08 cells, 6s2p pack by Upgrade Energy Motors: 2807 AOS for lift and cruise (unoptimized) Lifting ESCs: 4 in 1 Holybro Tekko32 F4 45A Cruise ESC: Flycolor Raptor 5 45A Lifting and cruise props: 7042 Gemfan (unoptimized) Flight controller: Speedybee F405 Wing GPS: M10 Firmware: Ardupilot 4.6.0 --- This video edit ended up shorter than I planned. Being my first Youtube video with significant post production effort, I underestimated the work required to make a longer in-depth video with voiceover, edited footage, etc. https://ift.tt/S9sdLZt June 11, 2025 at 02:17AM
Show HN: A "Course" as an MCP Server We wanted to build a course for new Mastra devs to get started quickly. However, we knew videos would go out of date and be more difficult to maintain. We decided to launch our "course" as an MCP server. This way your coding agent actually teaches the course content to you and can help you write the code. We think this is a really interactive way to learn. Using an editor with MCP support (such as Cursor, Windsurf, or VSCode), your code agent will call the appropriate MCP tools which will return context for the agent. This context tries to instruct the agent that it should be teaching you the content, not just doing the work for you. The course is still pretty experimental and some models work better than others. Code is available in the Mastra Github repo in the mcp-docs-server package ( https://ift.tt/sBaGvTZ... ) https://ift.tt/CBpStuc June 11, 2025 at 02:06AM
Show HN: RenderDay: A GPU-only render farm for Blender Hey HN! I recently had to render my first longer Blender animation, and I found myself pretty frustrated with the existing render farms out there. Everything I tried was either buggy, overly complicated (I really don’t want to pick from a huge list of hardware options), or just *really* expensive. So, I did what anyone would do.. I built my own solution: https://renderday.com - a GPU-only render farm for Blender that’s super fast and dead simple to use. You just: 1. Upload your `.blend` file 2. Pick your settings 3. Get a price, pay, and render - done No subscriptions, no upfront costs, no contracts - just pay as you go. I pull in daily GPU prices from multiple providers (with a tiny margin to keep the lights on), so the pricing is transparent and competitive. Under the hood it's running on NVIDIA L40S GPUs (48GB RAM), with access to over 1,000 GPUs globally. Currently supports: * Blender 4.3 and 4.4 (can add more if needed) * Cycles and EEVEE * Real-time progress tracking with live preview frames * Full file encryption, auto-deletion after 30 days, no access/sharing --- But more importantly: I'd really appreciate your feedback. This started as a personal itch, but I want to build something genuinely useful for the Blender community - especially indie creators and small studios who can't afford big monthly plans or don't want to deal with complicated setup. - What do you wish render farms did better? - What features are missing for you right now? - Would you use something like this - and if not, why not? Would love to hear your thoughts - good or bad - so I can keep improving it. Thanks for reading! Sascha https://renderday.com June 10, 2025 at 02:24AM
Show HN: I made a mobile app that turns your step count into a race I just launched my first-ever mobile app. It’s called STEPRACERS, a game where you compete with friends by tracking your steps. The idea came from someone close to me who completely changed their life by focusing on their health. Every night, they’d send me their step count - a small, daily ritual that became a powerful reminder of progress. So I turned it into a game. It’s fun. It’s simple. And it might just push you to hit your 10k steps a day. https://ift.tt/Hw915fp June 10, 2025 at 02:28AM
Show HN: Munal OS: a graphical experimental OS with WASM sandboxing Hello HN! Showing off the first version of Munal OS, an experimental operating system I have been writing in Rust on and off for the past few years. https://ift.tt/1nA8xzy It's an unikernel design that is compiled as a single EFI binary and does not use virtual address spaces for process isolation. Instead, applications are compiled to WASM and run inside of an embedded WASM engine. Other features: * Fully graphical interface in HD resolution with mouse and keyboard support * Desktop shell with window manager and contextual radial menus * PCI and VirtIO drivers * Ethernet and TCP stack * Customizable UI toolkit providing various widgets, responsive layouts and flexible text rendering * Embedded selection of applications including: * A web browser supporting DNS, HTTPS and very basic HTML * A text editor * A Python terminal Checkout the README for the technical breakdown. Demo video: https://ift.tt/zuiN3UY https://ift.tt/1nA8xzy June 9, 2025 at 11:04PM
Show HN: CurveFit Pro – Advanced nonlinear curve fitting in the browser We are pleased to announce a new version of our curve fitting web app with a whole new backend, front end, and all of the bells and whistles. If you see anything left out, or that could be improved, please let us know!! We'd love to hear any feedback from this amazing community. https://ift.tt/1FSZmQw June 8, 2025 at 09:01PM
Show HN: Liven Beta – Context engine mapping codebase dependencies for LLM(SWE) Liven Beta scaffolds your codebase’s dependency graph—functions, classes, cross‑file & folder relations—and displays it instantly in the terminal. Think of it as a context engine for developers and LLMs. https://ift.tt/PoTZjOw June 8, 2025 at 10:42PM
Show HN: AStack – A composable framework for building AI applications AStack is a composable framework designed to simplify the development of AI applications through a "everything is a component" philosophy. It provides a zero-adaptation layer design that enables seamless integration between various AI models, tools, and custom business logic. AStack is an independent technical framework with its own architecture and ecosystem, built on top of Hlang - a highly semantic fourth-generation language (4GL) inspired by Flow-Based Programming paradigms. This foundation on Hlang, which is particularly well-suited for computational modeling and AI-generated code, is what gives AStack its power. The framework emphasizes minimalism and performance, allowing developers to create complex systems with minimal boilerplate code while maintaining complete technical autonomy. https://astack.tech https://ift.tt/zfp0xy5 June 8, 2025 at 08:51AM
Show HN: AI that extracts brand identity from websites to generate ads I built this because I kept procrastinating on creating ads for my projects. The technical challenge was interesting: how do you teach AI to extract "brand identity" from a website? Turns out websites are messy. Finding the actual logo vs random images, identifying brand colors vs generic link colors, understanding brand voice from homepage copy. The solution: Custom vision models + CSS parsing + GPT-4 for voice analysis. You paste a URL, it extracts brand elements, generates platform-specific ads. Not trying to "disrupt advertising" or anything dramatic. Just solving the specific problem of "I need a Facebook ad but Canva makes me want to cry." Built with Next.js, custom image processing pipeline, OpenAI API. The brand extraction accuracy is around 85% for well-structured sites, lower for sites that are... creative with their CSS. Happy to discuss the technical approach or share code snippets if anyone's curious about the brand extraction pipeline. https://board.ad https://www.board.ad June 8, 2025 at 10:45AM
Show HN: AI game animation sprite generator I tried to build AI game animation generator last year ( https://ift.tt/mUp49sH ), a lot of people were interested, but it failed, mainly because the technology was not good enough. 1 year passed, there were a lot of developments in video/image generation. I tried it again, I think it works super well now. Actually beyond my expectation. You can generate all kinds of game character animation sprites with only 1 image. 1, upload your image of your character 2, choose the action you want 3, generate! Support basic actions like Run, Jump, Punch and complicated ones like: Shoryuken, Spinning kick, etc. High quality sprite sheet will be directly generated to use in Unity and any game engine. If you are an indie game developer, you don't need to high an artist or animator to develop you game. For studios, it's 10x cost saving and 10x efficiency as no more creating animations for 100 NPCs 100 times. Please check it out, looking forward to your feedback! https://ift.tt/nsXUA1p June 7, 2025 at 01:00AM
Show HN: Lightweight Durable Workflows Built on Postgres Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is contained in this Python library. You don’t need to manage a separate workflow server: just install the library, connect it to a Postgres database (to store workflow/queue state) and you’re good to go. DBOS workflows make your program durable by checkpointing its state in Postgres. If your program ever fails, when it restarts all your workflows will automatically resume from the last completed step. You add durable workflows to your existing program by annotating ordinary functions as workflows and steps: from dbos import DBOS @DBOS.step() def step_one(): ... @DBOS.step() def step_two(): ... @DBOS.workflow() def workflow(): step_one() step_two() The workflow is just an ordinary Python function. You can call it any way you like–from a FastAPI handler, in response to events, wherever you’d normally call a function. We’ve just released DBOS Python 1.0. This enhances workflows with many powerful features we’ve been building over the last few months, including: - Durable queues. Postgres-backed queues with all the queuing features of BullMQ/Celery (concurrency limits, rate limits, timeouts, priority, deduplication, etc.). Plus, they integrate with durable workflows, so you can write a workflow that enqueues 1K tasks, waits for and processes their results, and automatically recovers from any interruption. - Programmatic workflow management. Your workflows are stored as rows in a Postgres table, so you have full programmatic control over them. Write scripts to query workflow executions, batch pause or resume workflows, or even restart failed workflows from a specific step. This makes it much easier to diagnose and recover from bugs and failures that affect thousands of workflows. - Full support for both sync and async Python–write your workflows and steps as code either synchronously or asynchronously, it all works out of the box. - Improved tooling, including dashboards, workflow graph visualization, workflow management via web UI, and more. We’d love to hear your feedback and hope you can try DBOS out! https://ift.tt/Aqeu94f June 6, 2025 at 10:39PM
Show HN: Run 30B model in 4GB Active Memory We have built fused operator kernels for structured contextual sparsity to avoid loading and computing activations with feed forward layer weights that eventually zero out by the activation. The result? We are seeing 5X faster MLP layer performance in transformers with 50% lesser memory consumption avoiding the sleeping nodes in every token prediction. For Llama 3.2, Feed forward layers accounted for 30% of total weights and forward pass computation resulting in 1.6-1.8x increase in throughput: Sparse LLaMA 3.2 3B vs LLaMA 3.2 3B (on HuggingFace Implementation): - Time to First Token (TTFT): 1.51× faster (1.209s → 0.803s) - Output Generation Speed: 1.79× faster (0.7 → 1.2 tokens/sec) - Total Throughput: 1.78× faster (0.7 → 1.3 tokens/sec) - Memory Usage: 26.4% reduction (6.125GB → 4.15GB) Find the operator kernels with differential weight caching open sourced at github.com/NimbleEdge/sparse_transformers. Lets get LLMs sprinting! https://ift.tt/9zebDhZ June 5, 2025 at 10:43PM
Show HN: Smart Palette – Reimagining AI Art Hi HN, I'm Nick. Over the last 6 months I’ve been building Smart Palette – a platform to help anyone create unique, wall-ready art without needing to be a prompt expert. I started this because I wanted to unleash creativity in anyone and help them bring their art ideas onto their wall through a simple, guided and inspiring process. Instead of figuring out the “right” words to use, you just select your interior design style, room, art style, theme, and color palette. You can simply describe what you want to see and add your desired colors — or let Smart Palette handle it for you. Smart Palette uses a streamlined UI that my backend then translates into optimized, detailed prompts. A lot of the work went into this "translation" layer to ensure optimal model selection, settings and generation techniques depending on the user’s creative context. It also has a full print-on-demand (UHD) integration including various cusotmization options and an art preview feature. This is an early version, and I'd be very grateful for any feedback you have on the concept, the UX, or any technical aspects. Happy to answer any questions! You can try it out with a free trial and generate your first artwork. Here’s a quick walkthrough: https://ift.tt/T1ynlGh?... https://ift.tt/axqXS95 June 5, 2025 at 12:58AM
Show HN: SQLxport – Export SQL Query Results to Parquet, CSV, and S3 Introducing sqlxport: export SQL query results to Parquet/CSV in seconds — and optionally upload to S3 or MinIO. Works with PostgreSQL & Redshift CLI-first, cloud-friendly Great for data pipelines and engineers https://ift.tt/y81SCW2 June 3, 2025 at 11:56PM
Show HN: I build one absurd web project every month I’ve been building absurd, mostly useless web projects for fun — and I publish one every month at absurd.website. These are deliberately non-functional, weird, sometimes funny, sometimes philosophical — and usually totally unnecessary. Some examples: Sexy Math — solve math problems to reveal erotic images. Trip to Mars — a real-time simulation that takes 7 months to finish. Add Luck to Your e-Store — add a waving cat widget to boost your conversion via superstition. Microtasks for Meatbags — the future: AI gives prompts, humans execute. Invisible Lingerie — it’s sexy. And invisible. Artist Death Tracker — art prices spike when artists die. We track that. Open Celebrity — one open-source face, shared by all. Together we make her famous. I just enjoy exploring what the web can be when it doesn’t try to be “useful”. Would love to hear what you think — and absurd ideas are always welcome. https://absurd.website June 3, 2025 at 01:22AM
Show HN: GoogLLM – Google search that returns Markdown instead of HTML As part of my bigger goal to make the web more agent-friendly, this weekend i decided to tackle google. The "AI-native" search APIs like Tavily and Exa exist, but they require setup and don't actually use Google's results. So I built something simple - a proxy that takes Google search URLs and returns the results as clean markdown instead of HTML. You literally just change "google.com" to "googllm.com" in any search URL. ```bash # Returns 500KB of HTML: curl " https://ift.tt/zILSo7W " # Returns clean markdown: curl " https://ift.tt/ny39hHi " ``` *What it does:* - Serves normal HTML to browsers (so humans can use it normally) - Returns markdown to everything else (curl, fetch, LLM agents) - Supports all Google search types: web, images, news, scholar, shopping, etc. - No auth needed for testing (10 requests/hour free) *Technical approach:* - Content negotiation based on Accept headers - Caches results to avoid hammering Google - Simple pricing: 0.5¢ per search after free tier I built this over a long weekend because I was tired of writing HTML parsers for every project. The whole thing is designed around a single principle: make Google search results consumable by LLMs without any complexity. *Questions for HN:* - Is this approach too simplistic? Should search APIs be more complex? - How do you currently handle search in your LLM applications? - Any concerns about the proxy approach vs. building from scratch? The llms.txt documentation is intentionally comprehensive (2500 tokens) so any LLM can understand and use it immediately. Live demo: https://googllm.com API docs: https://ift.tt/4BfkVPq Would love feedback on the approach and any edge cases I might have missed. https://googllm.com June 3, 2025 at 12:37AM
Show HN: You2Aanki – Turn Videos into Anki Vocabulary Flashcards Hey HN, this is my first product launch. I built You2Anki along my language learning journey to aid my vocabulary from any content I want. Most tools I tried weren’t particularly made for language acquisition. You2Anki was designed with that focus in mind. Simple, intuitive and distraction-free. I hope it helps you! https://you2anki.com/ June 2, 2025 at 01:02AM
Show HN: I compressed 10k PDFs into a 1.4GB video for LLM memory While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs. After incurring $150 in cloud costs, I had an unconventional idea: what if I encoded my documents into video frames? The concept sounded absurd—storing text in video? But modern video codecs have been optimized for compression over decades. So, I converted text into QR codes, then encoded those as video frames, letting H.264/H.265 handle the compression. The results were surprising. 10,000 PDFs compressed down to a 1.4GB video file. Search latency was around 900ms compared to Pinecone’s 820ms—about 10% slower. However, RAM usage dropped from over 8GB to just 200MB, and it operates entirely offline without API keys or monthly fees. Technically, each document chunk is encoded into QR codes, which become video frames. Video compression handles redundancy between similar documents effectively. Search works by decoding relevant frame ranges based on a lightweight index. You get a vector database that’s just a video file you can copy anywhere. GitHub: https://ift.tt/EKYrijP https://ift.tt/EKYrijP May 29, 2025 at 06:24PM
Show HN: Purpose Reminders – One simple, positive act emailed monthly to all Hi HN, I built Purpose Reminders ( https://ift.tt/kjl1fMR ). Our first monthly action – "Leave a positive review for a local business" – goes out June 1st (very soon!). The core idea: What if thousands of us did the same small, positive act each month? You get one email, choose to act or skip (no pressure), and then see the collective, anonymous impact. It's 100% free, built with Next.js/Supabase/Resend. My attempt at a simple way to foster some collective goodwill. What do you think of the concept? https://ift.tt/kjl1fMR June 1, 2025 at 03:21AM
Show HN: A site for YC rejection stories Got rejected from YC a few times, so I built a site to collect lessons, reflections, and what people would do differently next time. Thought it could be helpful since most founders apply more than once anyway :) Hope it's helpful: https://ift.tt/2Z9VTaE https://ift.tt/2Z9VTaE June 1, 2025 at 12:45AM
Show HN: Glyde – MCP based AI website builder that uses 21st.dev Hi HN, I’m building Glyde – an AI landing page builder that makes really cool pages in one shot. It uses 21st.dev’s MCP (Model Composition Protocol) to build awesome pages with clean layouts and smooth animations — without needing to be a pro at writing prompts. Most tools like Lovable or Bolt.new feel kinda templated or boring unless you know how to write long, tricky prompts. Glyde fixes that. Glyde – Landing pages that don’t feel AI-made Goals: Help creators and devs launch fast Make pages that feel real and unique No prompt gymnastics — just type a few words Supports fun stuff like animations and effects Great for product launches, portfolios, and more You get a working landing page in one shot — no coding needed. It just works. Website: https://glyde.world Demo Landing page built with Glyde in One Shot: https://ift.tt/bv7hnd6 Would love your feedback and ideas! https://glyde.world May 31, 2025 at 03:00AM
Show HN: Hackertuah – I made a Hacker News CLI in Rust You may have seen this earlier with it's initial release: https://ift.tt/C9TH5XO Now new features: Instant search/filter: Press / or use the command palette to filter stories as you type Command Palette: Press Ctrl+K to access all commands, including search, section switching, and more Options menu for each story (summarize, open, close) Section switching: Top, Ask, Show, Jobs Easy install & run with Cargo Feedback, comments, feature requests welcome. https://ift.tt/Rg3vhC6 May 31, 2025 at 02:11AM
Show HN: Icepi Zero – The FPGA Raspberry Pi Zero Equivalent I've been hacking away lately, and I'm now proud to show off my newest project - The Icepi Zero! In case you don't know what an FPGA is, this phrase summarizes it perfectly: "FPGAs work like this. You don't tell them what to do, you tell them what to BE." You don't program them, but you rewrite the circuits they contain! So I've made a PCB that carries an ECP5 FPGA, and has a raspberry pi zero footprint. It also has a few improvements! Notably the 2 USB b ports are replaced with 3 USB C ports, and it has multiple LEDs. This board can output HDMI, read from a uSD, use a SDRAM and much more. I'm very proud the product of multiple weeks of work. (Thanks for the pcb reviews on r/PrintedCircuitBoard ) (All the sources on github under an open source license :D) PS. See some more pics on reddit https://ift.tt/6HycjT4... https://ift.tt/dTI8jOl May 28, 2025 at 07:01PM
Show HN: Asdf Overlay – High performance in-game overlay library for Windows I am making a open source overlay library. Game overlay is for rendering contents on top of game screen. Representative examples are Discord and Steam in-game overlay. They are complicated because it has to hook rendering part of a game. Asdf overlay provides easy to use interfaces for rendering on top of game screen. I recognize game performance degradation due to overlay rendering, so GPU shared texture was used to avoid CPU framebuffer copy. Asdf Overlay is capable of rendering full screen overlay without noticeable performance loss. https://ift.tt/d8mOPe1 May 30, 2025 at 11:57PM
Show HN: Clean Simple DNS Lookups Hey HN, Last weekend I vibe-coded a cool website that lets you do easy DNS record lookups. I know you can just use dig or nslookup, but oftentimes I'm too lazy to remember the syntax, and there are less technical users who need to manage DNS entries but aren't comfortable with the command line. We debug customer DNS issues often at ImprovMX, and we typically link to tools like mxtoolbox.com to point out DNS record issues. But those tools seem quite bloated and from the 2000s. I wanted something super clean & simple, and there were a few features I thought were ergonomically needed but lacking: - no confusing dropdowns or syntax for DNS lookup, just put in your domain or subdomain - click-to-copy for all values - header-links so we can provide URLs that will direct another user to an exact domain and which record we want to reference This was SUPER FUN to vibe code! The frontend was pretty much one-shotted with lovable. It's amazing how good AI is when working on a clean slate with all the latest popular frameworks (react, tailwind, shadcn, etc.). And I spent the next few hours making small tweaks with cursor. The backend is a dead simple python flask server. Both are hosted on render.com <3 I love how simple and value-oriented render.com is. It's always the provider that gives me the least headache when I want to just launch and forget something. Give it a try and let me know what you think! https://inspector.improvmx.com May 30, 2025 at 12:21AM
Show HN: Willow Voice (YC X25) – Personalized Dictation You Can Use Anywhere Hi HN, we're Lawrence and Allan, and we're building Willow Voice, a voice dictation tool for people who type a lot and want to move faster. We started out building for healthcare—first assisted living, then SNFs, then outpatient clinics—but the idea that stuck wasn’t the vertical. It was voice. We watched elderly patients use dictation to stay connected, and doctors reclaim hours with AI scribes. That’s when we realized dictation shouldn’t be limited to healthcare. If it were fast, accurate, and personal enough, everyone could benefit. Willow is not basic speech-to-text. It runs in the cloud for low-latency, supports technical terms and custom dictionaries, and learns your formatting and syntax preferences over time. Our users say it feels like it “just works,” even if they’ve never used dictation before. Some things we’ve already built: 1. Real-time dictation with extremely fast output 2. Context-aware text generation 3. Automatic formatting and structure detection Privacy is our absolute top priority - we do not store or retain voice data by default. Here are a few simple demos: 1. https://youtu.be/yFxH5HY-72Y?si=krI9WNFKBQE1Hvph 2. https://youtu.be/l2zlECbQQcU?si=fJLX-oYrflOI02kj 3. https://youtu.be/yKTIVCZbwHY?si=ohRMpuAUS8eqceAQ We’d love feedback from the HN community, technical questions, product ideas, and more! You can try it at https://willowvoice.com . Happy to answer any questions in the comments! https://ift.tt/xyo4FOq May 30, 2025 at 03:05AM
Show HN: I built an AI tool that generates click-worthy YouTube thumbnails Hey HN! Software engineer here. As an amateur youtuber, I've been struggling with thumbnails, especially since I don't have any design or editing skills. Decided to give it a try and make my own automatic thumbnail generator. Me being an ADHD person, made sure that there's no parameter tuning and shape choosing and fuss like that, just simply give prompt and generate thumbnail. Increased my CTR from 1.2% to 2.3% (faceless fantasy books niche on youtube) Thumbnail X (completely free for now) - https://thumbnailx.com/ Just wanna add that this is by no means a perfect thumbnail maker for huge YouTube moguls with millions of subscribers but I'm sure it's gonna be extremely helpful for beginner youtubers and medium size channels struggling with thumbnails. Tools used: 1. Cursor for development (shoutout to claude oppus 4.0) 2. Few image generators (primarily ideogram, but leonardo ai, deep ai and gpt 4o as fallbacks) 3. Few llms (chatgpt, claude, gemini for validating images and prompt enhancement) 4. AWS and Redis for storage & caching 5. Digital ocean for hosting and db 6. Python https://thumbnailx.com/ May 29, 2025 at 02:51AM
Show HN: Octogen: e-commerce capabilities for agents Hi HN, We just released a public beta of e-commerce capabilities for AI agents — aimed at developers building shopping agents or personal assistants. It’s early and buggy, but we’d love your feedback. Try a live demo here: https://ift.tt/R7PgDea --- ## Why we built this We believe the biggest *technical* bottleneck in building consumer e-commerce agents is fragmented product data and inconsistent schemas across online stores. So we created a high-fidelity yet unified interface for *e-commerce catalog + checkout*, regardless of the underlying platform. --- ## What it does We currently offer two core capabilities: ### 1. Unified product catalog (for LLM-style search) - Octogen automatically wrangles any ecommerce site into a common schema — a superset of `schema.org/Product`. - It works across platforms and is available today for hundreds of sites. - You can request new stores — ~95% are processed fully autonomously. - Useful for agents doing RAG-based product search with rich attribute awareness. ### 2. Agentic checkout (closed beta) - Works on *any ecommerce site* using virtual cards (Visa only for now). - Enables agents to complete checkout flows much faster than browser-based "computer agents." - We're working on support for additional vaults/wallets/payment APIs. --- If you’re working on agentic commerce, autonomous checkout, or personal AI shoppers — we’d love your feedback and ideas. More at: https://octogen.ai https://octogen.ai May 29, 2025 at 12:25AM
Show HN: Free mammogram analysis tool combining deep learning and vision LLM I've built Neuralrad Mammo AI, a free research tool that combines deep learning object detection with vision language models to analyze mammograms. The goal is to provide researchers and medical professionals with a secondary analysis tool for investigation purposes. Important Disclaimers: - NOT FDA 510(k) cleared - this is purely for research investigation - Not for clinical diagnosis - results should only be used as a secondary opinion - Completely free - no registration, no payment, no data retention What it does: 1. Upload a mammogram image (JPEG/PNG) 2. AI identifies potential masses and calcifications 3. Vision LLM provides radiologist-style analysis 4. Interactive viewer with zoom/pan capabilities You can try it with any mass / calcification mammo images, e.g. by searching Google: mammogram images mass Key Features: - Detects and classifies masses (benign/malignant) - Identifies calcifications (benign/malignant) - Provides confidence scores and size assessments - Generates detailed analysis using vision LLM - No data storage - images processed and discarded Use Cases: - Medical research and education - Second opinion for researchers - Algorithm comparison studies - Teaching tool for radiology training - Academic research validation The system is designed specifically for research investigation purposes and to complement (never replace) professional medical judgment. I'm hoping this can be useful for the medical AI research community and welcome feedback on the approach. Address: https://ift.tt/lRvXo1i https://ift.tt/lRvXo1i May 27, 2025 at 08:43PM
Show HN: CodeNow – CoderPad over WebRTC and WASM I was doing a lot of Leetcode this winter, and got the idea of building something like it that used wasm in the browser rather than having to manage the complexity of executing remote code securely on a server. Once I figured that out, I thought it would be neat to make it collaborative, like Coderpad — that part was a bit tougher, but it mostly works now, using WebRTC. I'm not sure whether other people will think this is cool, but I had fun building it and learning more about wasm + WebRTC. https://ift.tt/luhExUA May 27, 2025 at 02:08AM
Show HN: Personalized Newsletters About Anything I work in a highly regulated and rapidly changing space and found that I spent quite a bit of time keeping up with trends, etc. Decided to make something that automatically sends me updates on a weekly basis. Essentially like if a personal assistant wrote me a weekly/daily email about everything that's happening. How it works: specify the topic you're interested in, set the cadence for how often to send updates, and that's it. Works best for niche interests with frequent news/updates. Happy to open this up to the general public if others find this interesting. https://ift.tt/cSlN5Yd May 26, 2025 at 10:46PM
Show HN : A noise free Hackers News newsletters + catch up page Hey HN, I built HN500 because I wanted a no-fuss way to stay updated on major HN stories — especially after taking time off. It’s a newsletter and a catch-up tool with a few handy features: Set your own point threshold (250/500/750/1000) to get only the most upvoted posts. - Choose daily or weekly email updates. - Each email includes 3 random stories to help surface underrated gems. - The catch-up page lets you filter by points, time range, sort order, and more — great if you’ve been away for a while. It’s free, lightweight, and designed to stay out of your way. Feedback is welcome! https://ift.tt/2wqycGC May 26, 2025 at 01:47AM
Show HN: I built a chill place online to work on your ideas I used to watch hundreds of hours of lofi beats on youtube while I was coding, but I got really sick of all the ads. I decided to build a better alternative - It's a configurable space for you to hang out online while you work, with a ton of relaxing music and backgrounds. Its got useful tools built in like a timer to keep track of how long you've been locked in, and a notepad for todos or scribbling down ideas while you work. Honestly this is the first tool I've built that I personally use every day, so I'm hoping some of you out there can get some use out of it too! https://lofizone.com May 25, 2025 at 04:08AM
Show HN: DeepShot – NBA game predictor with 71% accuracy using ML and stats Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://ift.tt/YUPfWo0 And if you like it, here’s my Buy Me a Coffee: buymeacoffee.com/saccofrancesco Would love any feedback — especially from folks who’ve built sports models or worked on real-time stat tools. Also open to ideas on where to take this next (player-level modeling? betting advice dashboard?). Thanks! https://ift.tt/YUPfWo0 May 25, 2025 at 02:30AM
Show HN: 1min Workouts for People Who Sit All Day I am a software developer and in the last few months after recently becoming a father I was barely finding time for a proper workout. Recently I was reading about new research on Snack Exercises and how beneficial mini workouts of less than 2mins every so often, during the day are to our body. So, I decided to build an iOS App for me and others to help with this. The app generates a list of exercises that I need to tick to complete daily or loose my streak. The algorithm takes into account muscle groups and balancing the exercises to hit most main muscles. I also stayed going through all exercises and adding a couple of alternative exercises in case I don't feel like the recommended exercise. Since I'm not a trainer I commissioned professional exercise posture video guides and animations by an exercise expert which I attached to each exercise. I uploaded the app on the app store for free and no ads. If this is something that interests you, I want to hear how you balance a long day on your desk vs exercise. https://shortreps.com May 25, 2025 at 02:11AM
Show HN: Can AI Help Designers Ideate Better? We Spent 5 Wks Finding Out We set out to answer a simple but deep question: Can AI actually practically help product designers improve during the discovery and ideation phase of the design process? So we spent 5 weeks running an experiment. We mapped every tool we use for discovery: Mobbin, Dribbble, Pinterest, Twitter, Behance We broke down typical design thinking and brainstorming workflows We reviewed every prototyping or idea-capturing tool we’ve used Then we tried building lightweight AI workflows with various LLM tools and frameworks Result: Yes. Used well, AI can significantly improve design thinking — especially for junior/mid-level designers — by offering faster idea generation, design critiques, and creative merges. Out of that research, we built Moonchild: A discovery-stage design ideation tool that: Generates thoughtful UI concepts from minimal prompts Allows asking design questions and getting structured critique Merges styles, flows, and interaction patterns from multiple directions Outputs great Figma-ready screens and UX flows, fast Try it (private beta): https://moonchild.ai Use code 'hackernews' for early access. Would love feedback — especially from product designers, PMs, and UX folks doing early-stage work. May 25, 2025 at 12:36AM
Show HN: Advanced Chunking in JavaScript/TypeScript with Chonkie Hi HN, We’re Shreyash and Bhavnick. We built Chonkie, an open-source library for advanced chunking and embedding of text and code. It was previously Python-only, but we just released a TypeScript version: https://ift.tt/kgzf1Tp Many AI projects in JS/TS (like those using Vercel's AI SDK or Mastra) rely on basic text splitters. But better chunking = better retrieval = better performance. That’s what Chonkie is built for. Current native chunkers (in TS): - Code Chunker – handles Python, TypeScript, etc. - Recursive Chunker – rule-based, hierarchical splitting - Token Chunker – split by token count (fully customizable) - Sentence Chunker – split on sentence boundaries. Delimiters are customizable, so it works for multiple languages. All chunkers support custom tokenizers, chunk overlap, delimiters, and more. Coming soon in native TS (already available via the API client): - Semantic Chunker – splits texts wherever it detects a shift in meaning. - SDPM Chunker – merges semantically similar disjoint chunks - Late Chunker – generates context-aware embeddings for each chunk - Slumber Chunker – LLM-refined recursive chunks. Significantly reduces token usage (and thus cost) while maximizing chunk quality. - Embeddings Refinery - Embed chunks with any embedding model - Overlap Refinery – Create overlaps between consecutive chunks for better context preservation. Chonkie is free, open-source, and MIT licensed. GitHub: https://ift.tt/kgzf1Tp We’d love your feedback, ideas, or contributions. Thanks! May 24, 2025 at 01:33AM
Show HN: DoubleMemory – more efficient local-first read-it-later app DoubleMemory started as an experiment to see if I can somehow automatically save all double cmd + c, as I often do instinctively, so I don't need extensions to save links and text into an app, and avoiding flooding the capture history as regular clipboard managers does. My motivation was not to create a read-it-later app, yet it evolved into this unique yet cohesive form of a read-it-later + bookmarking organizer + clipboard manager + card based note-taking app over the last 6 months. It also launches from the menu bar with a shortcut and navigates with keyboard shortcuts. My favorite part is instead of rendering a list of article titles, everything is rendered as pretty preview cards in a translucent Pinterest-like mood board. It also has a nifty iOS app, that will allow you to swipe with your thumbs between articles just like on iOS Safari... Now that Pocket is closing, this is after Instapaper going back to indie and Omnivore and UpNext and numerous others closing over the years. All of these are cloud-hosted services, which got me reflecting: maybe this local-first architecture would be well positioned to build in this space. Here is my not-so-scientific comparison: ## Domain $10 vs $1M = 100,000x difference. ## Server running cost No servers other than what's running by iCloud vs $1M per year = 1mX difference ## Platforms Apple only (mac + iphone + ipad) vs Multi platforms (windows, linux, android also supported) = 20X maintenance cost difference ## Capturing No browser extensions required v.s. maintain all extensions for various browsers and extension stores = 5x difference ## Architecture App receives the link, Apple generates the rich preview cards for thousands of different types of links, app caches these preview cards. vs. Someone write some custom code for each link type or with Open Graph, one designer created one generic card that works for all links. = 100x cost difference. I know, Apple is coming for clipboards with more restrictions, which is basically a shared global state on Mac systems, DoubleMemory does also support other ways to capture: drag-n-drop to app/menubar icon/app icon, right click->Services menu, or Share sheet. We will add more auto-importers. Also vibe coded some importers for Pocket, Omnivore and ReadWise here: https://ift.tt/0ZVDraO Everything in the app is free with no limits. Capturing is really step 0. You giving us a chance to save your content, doesn't mean you are getting any values out of it (ain't that the typical story of read-it-later apps? save-it and never-read-it). the eventual goal is to easily retrieve these content, and eventually consuming them. I hope to eventually launch paid features that aligns with these value generating workflows. App Store link: https://ift.tt/0uj89Ar Let me know what you think... https://ift.tt/YMpXgiW May 24, 2025 at 12:25AM
Show HN: hcker.news – an ergonomic, timeline-based Hacker News front page Hi folks, I've built an alternative Hacker News front page. It is inspired by and meant to be a replacement for hckrnews.com. I built this because HN is woefully underfeatured, but most sites that try to improve it seem to assume that the visual design is the problem. hcker.news tries to maintain HN's familiarity while adding useful enhancements. There are three primary views: - Timeline View: Browse top stories by votes or comments grouped by day, week, or month (e.g., top 20 per day, top 100 per week). - Aggregate View: See top stories by votes or comments over custom time ranges. - Front Page View: The original HN front page, untouched. Feed Filtering: - Custom Keyword Filters: Include/exclude keywords (e.g., include "Rust," exclude "DOGE") or set a minimum score threshold. - No HN Algorithm: Timeline and Aggregate Views show stories usually downranked by the HN algo (e.g., flagged posts or those with too many comments). UI: - Unread Flags: Quickly spot new stories or ones you haven't seen. - Two Layouts: Classic HN style or a compact story view inspired by hckrnews.com. - Multi-column & High-density Modes: Fit more content on screen. - Themes: Light, Dark, and Manila. I'd love your feedback and suggestions. Cheers! https://hcker.news May 24, 2025 at 12:14AM
Show HN: Free Text-to-Video for Learning Anything(Inspired by 3Blue1Brown) I'm a huge fan of 3B1B and how he creates appealing and easy-to-understand videos. But he doesn't have a video for every single topic. Whenever I needed help in math or physics, I would try to watch his videos but the issue is that are just not specific enough to my content or curriculum. This issue applies to every single video explanation out there, they just aren't personalized. Most educational videos explain general topics, but they don’t align perfectly with the specific question I have or the way I need it explained. That’s the gap I wanted to fill. So I built a tool that generates high-quality, visually engaging explainer videos that are tailored exactly to the question you ask. Whether it's a niche math problem, a concept from your physics class, or something your textbook didn't explain well, this tool creates a custom explanation in the style of channels like 3B1B, but made just for you. The tool is free to use for some time. Me and my cofounder have dedicated a portion of our savings to this project and unless we get external funding in the near future, we would have to add a paid tier for the product or completely shut it down. Also, would love it if you show some support at our discord server. Thanks for your time! The tool is free to use for some time. Me and my cofounder have dedicated a portion of our savings to this project and unless we get external funding in the near future, we would have to add a paid tier for the product or completely shut it down. You can try it out yourself here --> https://trytorial.com/ . Also, would love it if you show some support at our discord server. Thanks for your time! https://trytorial.com/ May 22, 2025 at 11:30PM
Show HN: Pi Co-pilot – Evaluation of AI apps made easy Hey HN — 2 months ago we shared our first product with the HN community ( https://ift.tt/Dmdwthj ). Despite receiving lots of traffic from HN, we didn’t see any traction or retention. One of our major takeaways was that our product was too complicated. So we’ve spent the last 2 months iterating towards a much more focused product that tries to do just one thing really well. Today, we’d like to share our second launch with HN. Our original idea was to help software engineers build high-quality LLM applications by integrating their domain knowledge into a scoring system, which could then drive everything from prompt tuning to fine-tuning, RL, and data filtering. But what we quickly learned (with the help of HN – thank you!) is that most people aren’t optimizing as their first, second, or even third step — they’re just trying to ship something reasonable using system prompts and off-the-shelf models. In looking to build a product that’s useful to a wider audience, we found one piece of the original product that most people _did_ notice and want: the ability to check that the outputs of their AI apps look good. Whether you’re tweaking a prompt, switching models, or just testing a feature, you still need a way to catch regressions and evaluate your changes. Beyond basic correctness, developers also wanted to measure more subtle qualities — like whether a response feels friendly. So we rebuilt the product around this single use case: helping developers define and apply subjective, nuanced evals to their LLM outputs. We call it Pi Co-pilot. You can start with any/all of the below: - a few good/bad examples - a system prompt, or app description - an old eval prompt you wrote The co-pilot helps you turn that into a scoring spec — a set of ~10–20 concrete questions that probe the output against dimensions of quality you care about (e.g. “is it verbose?”, “does it have a professional tone?”, etc). For each question, it selects either: - a fast encoder-based model (trained for scoring) – Pi scorer. See our original post [1] for more details on why this is a good fit for scoring compared to the “LLM as a judge” pattern. - or generates Python functions when that makes more sense (word count, regex etc.) You iterate over examples, tweak questions, adjust scoring behavior, and quickly reach a spec that reflects your actual taste — not some generic benchmark or off-the-shelf metrics. Then you can plug the scoring system into your own workflow: Python, TypeScript, Promptfoo, Langfuse, Spreadsheets, whatever. We provide easy integrations with these systems. We took inspiration from tools like v0 and Bolt: natural language on the left, structured artifacts on the right. That pattern felt intuitive — explore conversationally, and let the underlying system crystallize it into things you can inspect and use (scoring spec, examples and code). Here is a loom demo of this: https://ift.tt/3Ld5JUv We’d appreciate feedback from the community on whether this second iteration of our product feels more useful. We are offering $10 of free credits (about 25M input tokens), so you can try out the Pi co-pilot for your use-cases. No sign-in required to start exploring: https://withpi.ai Overall stack: Co-pilot next.js and Vercel on GCP. Models: 4o on Azure, fine tuned Llama & ModernBert on GCP. Training: Runpod and SFCompute. – Achint (co-founder, Pi Labs) https://withpi.ai/ May 22, 2025 at 06:01PM
Show HN: Super (YC W18) - Turn company data into answers & agents for your team Hey there, Chris here We're known for our straightforward yet powerful Knowledge Base, Slite(YCW18).We launched our AI-powered search in Feb 2023 and after getting great response and usage, we dove deeper into solving the challenge of knowledge retrieval in daily work. That's why we're now launching our second major product, Super( https://www.super.work ). Super seamlessly connects your existing tools, providing accurate answers, streamlined workflows, automated digests, and much more. You might wonder: Why not just link your apps together using something like an MCP? The problem is that MCPs can't handle complex knowledge retrieval effectively. MCPs are basically LLMs equipped with API toolbelts. If you've ever tried asking a complicated question through an MCP, one that needs data from multiple different tools, you've likely faced frustrating delays. MCPs slowly make API calls one after another, causing long waits while they collect data from each endpoint. By contrast, Super quickly searches through all the data that actually matters from all of your tools simultaneously. This means you'll get your accurate answer in seconds, not minutes. The limitations of MCP-based solutions become clear when you try to deploy them reliably within a team. They either won't index your critical content effectively, won't do it fast enough, or won't cover all your tools at once. Properly chunking, embedding, querying, and filtering data from various sources is still essential. MCPs triggering APIs can't match this integrated approach for speed and accuracy. Moreover, Super understands the value of running multiple tasks simultaneously through LLMs. For example, one step may involve identifying search filters, while another simultaneously uses an LLM to aggregate and refine information. This parallel process quickly shapes the final, accurate answer for users. Additionally, MCPs aren't designed for enterprise-grade use. Businesses need standardized experiences, fine-grained user permissions, and consistent access controls across multiple tools. Super addresses these requirements by indexing data beforehand while still respecting each user's access permissions. Super offers: - Perplexity-like search experience on your team data - A growing selection of integrations with popular data sources - Customizable AI assistants tailored to your specific needs - An extension to embed Super directly into external websites you're already using - A clear path for your company to adopt AI strategically, rather than letting individual employees scatter across different, incompatible tools. And of course... It does comes with its MCP, which makes your agentic workflows actually able to properly tap on your data. Here's a quick video showing Super in action: https://www.youtube.com/watch?v=L5A6BRW90K4 Have you hit such walls with standard MCPs? Have you try building your own solutions? https://super.work May 21, 2025 at 07:48PM
Show HN: I made "Who's Hiring?" searchable using GPT and Metabase I vibe-coded a small project that turns the “Ask HN: Who is hiring?” thread into searchable job data using OpenAI, PostgreSQL, and Metabase. It pulls the thread using the Hacker News API, uses GPT to extract fields like company, role, location, salary, and contact, stores everything in PostgreSQL, and spins up Metabase so you can explore and search the results. Right now it runs locally, but would anyone be interested if I built this out a bit more and made a public dashboard? https://ift.tt/mVp85ts May 21, 2025 at 09:37PM
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