Show HN: Tablr – Supabase with AI Features https://ift.tt/ltABMro

Show HN: Tablr – Supabase with AI Features https://www.tablr.dev/ June 30, 2025 at 04:35AM

Show HN: Summle – A little maths Game https://ift.tt/pelw48M

Show HN: Summle – A little maths Game https://summle.net June 26, 2025 at 04:28PM

Show HN: Sharpe Ratio Calculation Tool https://ift.tt/JMkqalb

Show HN: Sharpe Ratio Calculation Tool I built a simple but effective Sharpe Ratio calculator that gives the full historical variation of it. Should I add other rations like Calmar and Sortino? https://ift.tt/YwTa9xX June 29, 2025 at 11:08PM

Show HN: Anti-Cluely – Detect virtual devices and cheating tools on exam systems https://ift.tt/sikVIqQ

Show HN: Anti-Cluely – Detect virtual devices and cheating tools on exam systems Anti-Cluely is a lightweight tool designed to detect common virtual environments, device emulators, and system manipulation tools often used to bypass or cheat in online exams. https://ift.tt/GedFhmN June 29, 2025 at 01:11AM

Show HN: Query your Rust codebase and generate types for anything https://ift.tt/LgQ4tDh

Show HN: Query your Rust codebase and generate types for anything Hello HN! As a long-time professional Rust developer. I've always been frustrated by the difficulty and "hackiness" of producing bindings to other languages, whether a frontend, an FFI library, etc. Not just in Rust but in any language. After many years of trying existing solutions and trying to make my own, I've finally developed a solution I'm very happy with. RTK (aka Rust Type Kit) allows you to write Lua scripts that perform queries on your code, such as method calls to Axum's `.route`, function definitions, and more, and then receive rich type information including all argument types, function paths, proc macro attributes, and more. Your Lua script can then read this information and emit an output file in any language of your choosing. Or, you can emit compiler errors and use it as a linter of sorts. You can even directly re-emit Rust code itself and use this as a richer proc macro solution! The code example is a bit verbose, so I encourage you to take a look at the repo's README. I look forward to hearing your thoughts, or any usecases you may come up with! https://ift.tt/qMOTg3f June 29, 2025 at 12:25AM

Show HN: A Go service that exposes a FIFO message queue in RAM https://ift.tt/WfkuE69

Show HN: A Go service that exposes a FIFO message queue in RAM https://ift.tt/o5qPZ6C June 25, 2025 at 05:04PM

Show HN: GPU market is absurd! So I built a dashboard of pricing/restock trends https://ift.tt/dYNbrXT

Show HN: GPU market is absurd! So I built a dashboard of pricing/restock trends Hey HN! This idea started with me not being able to buy a GPU and constantly losing to bots/scalpers. I figured I'd use this as way to see how far I can get with 'vibe-coding and designing'*. The end result was pretty far! Here are more details of behind the scenes. In a future blog post, I'll detail behind the scenes process of building this. - The landing page is React/Typescript/Tailwind.css (which I've never used before) - The dashboard is based on Evidence.dev - which is SQL queries in Markdown + little bit of custom Javascript for chart formatting (again never used before :) - Just being able to get an idea like this in my head into existence would have taken me many months of Stack overflow/Google research to first learn React/Typescript/Javascript but this took about a month (~1-2 hr a day) * 'Vibe-coded' is often a misnomer i.e. people sometime think it's a magic pill. From building this I can tell you that you can't just will the site into existence like a genie's wish. It still took significant effort to guide the LLM, debug when things go wrong, need to have an idea of design and taste of what to build and how to make it look good, work on many iterations. There were probably 500 iterations between the first and the final iteration. https://ift.tt/b9XURxi June 28, 2025 at 12:32AM

Show HN: I built Hispi, an app to design custom jewellery https://ift.tt/ctbV0Xi

Show HN: I built Hispi, an app to design custom jewellery Designing is free and gives you a breakdown of material choices and costs, then you can get a quote if you want to buy the ring. I'm working with around 50 jewellers in London and the UK's Jewellery Quarter but I think just designing a ring is pretty nice. https://hispi.app June 24, 2025 at 07:08PM

Show HN: Do You Know RGB? https://ift.tt/7Md3jpc

Show HN: Do You Know RGB? https://ift.tt/RTsHi0L June 24, 2025 at 01:49PM

Show HN: IssuePay – Get paid for open-source contributions https://ift.tt/83LBIKa

Show HN: IssuePay – Get paid for open-source contributions Hi HN! I’m Mario, and I’m about to launch IssuePay. Problem: Open-source contributors don’t get direct financial recognition for their work. Solution: IssuePay lets maintainers post bounties on GitHub/GitLab issues. Contributors pick tasks, merge code, and get paid automatically. You can then withdraw your earnings directly to your Bank Account. Try it out: https://issuepay.app Questions: Would love feedback on our UX, payout reliability, or any scaling tips. Note: Open to partnerships with OSS communities! Thank you, guys ! <3 https://issuepay.app June 28, 2025 at 12:01AM

Show HN: I built a JSON-RPC library for Zig with compile time reflection https://ift.tt/gyEKN3T

Show HN: I built a JSON-RPC library for Zig with compile time reflection Doing dynamic dispatching in a strict static typing language is hard. Something as simple as, map.put("add", add); map.put("hello", hello); fn add(a: i32, b: i32) i32 { return a + b; } fn hello() []const u8 { return "Hello World"; } is impossible because the value type of key/value of the map needs to be the same but all the function types are different. Calling functions with different number of parameters, different parameter types, and different return type dynamically is difficult. Other languages either use dynamic typing, runtime reflection, macro, or passing in one big generic parameter and let the function figure it out. In ZigJR, I use Zig's comptime feature to do compile time reflection to figure out a function's parameter types, return types, and return errors. I package them up into a specific call object and use the interface pattern to produce a uniformly typed object to be put into the map. It's not easy but doable. [1] [1] https://ift.tt/TZ5eXfg... https://ift.tt/SENLgf7 June 26, 2025 at 11:54PM

Show HN: Pocket2Linkding – Migrate from Mozilla Pocket to Linkding https://ift.tt/gUnI4KO

Show HN: Pocket2Linkding – Migrate from Mozilla Pocket to Linkding With the Mozilla Pocket shutdown coming up in about two weeks, I thought I'd share this quick tool to migrate to linkding in case it's helpful to others. After reviewing self-hosted options to Pocket, I decided linkding has the best combination of features. (The creator/author of linkding has done a great job -- however, I plan to eventually create a new tool that is based on linkding but adds some new features that the author has indicated he doesn't want to include [I’m currently using a fork, but I want to expand on it further].) HN thread about shutdown announcement: https://ift.tt/ijmJbZx Mozilla announcement: https://ift.tt/3jDOqT8 linkding: https://linkding.link/ Note that Pocket is shutting down July 8, 2025, but the export service will remain available until October 8, 2025. [edit] fix typo in title & formatting https://ift.tt/q8svX6u June 26, 2025 at 10:33PM

Show HN: Magnitude – open-source AI browser automation framework https://ift.tt/OPzl8bT

Show HN: Magnitude – open-source AI browser automation framework Hey HN, Anders and Tom here. We had a post about our AI test automation framework 2 months ago that got a decent amount of traction ( https://ift.tt/Q2Wy746 ). We got some great feedback from the community, with the most positive response being about our vision-first approach used in our browser agent. However, many wanted to use the underlying agent outside the testing domain. So today, we're releasing our fully featured AI browser automation framework. You can use it to automate tasks on the web, integrate between apps without APIs, extract data, test your web apps, or as a building block for your own browser agents. Traditionally, browser automation could only be done via the DOM, even though that’s not how humans use browsers. Most browser agents are still stuck in this paradigm. With a vision-first approach, we avoid relying on flaky DOM navigation and perform better on complex interactions found in a broad variety of sites, for example: - Drag and drop interactions - Data visualizations, charts, and tables - Legacy apps with nested iframes - Canvas and webGL-heavy sites (like design tools or photo editing) - Remote desktops streamed into the browser To interact accurately with the browser, we use visually grounded models to execute precise actions based on pixel coordinates. The model used by Magnitude must be smart enough to plan out actions but also able to execute them. Not many models are both smart *and* visually grounded. We highly recommend Claude Sonnet 4 for the best performance, but if you prefer open source, we also support Qwen-2.5-VL 72B. Most browser agents never make it to production. This is because of (1) the flaky DOM navigation mentioned above, but (2) the lack of control most browser agents offer. The dominant paradigm is you give the agent a high-level task + tools and hope for the best. This quickly falls apart for production automations that need to be reliable and specific. With Magnitude, you have fine-grained control over the agent with our `act()` and `extract()` syntax, and can mix it with your own code as needed. You also have full control of the prompts at both the action and agent level. ```ts // Magnitude can handle high-level tasks await agent.act('Create an issue', { // Optionally pass data that the agent will use where appropriate data: { title: 'Use Magnitude', description: 'Run "npx create-magnitude-app" and follow the instructions', }, }); // It can also handle low-level actions await agent.act('Drag "Use Magnitude" to the top of the in progress column'); // Intelligently extract data based on the DOM content matching a provided zod schema const tasks = await agent.extract( 'List in progress issues', z.array(z.object({ title: z.string(), description: z.string(), // Agent can extract existing data or new insights difficulty: z.number().describe('Rate the difficulty between 1-5') })), ); ``` We have a setup script that makes it trivial to get started with an example, just run "npx create-magnitude-app". We’d love to hear what you think! Repo: https://ift.tt/uahTk2P https://ift.tt/uahTk2P June 27, 2025 at 12:00AM

Show HN: MCP Server for Tally – Create and Manage Forms with Claude https://ift.tt/Du2zIoO

Show HN: MCP Server for Tally – Create and Manage Forms with Claude I've built an MCP server for Tally that bridges the gap between their complex API and simple natural language commands. As someone with ADHD, I built this because context-switching between documentation, form builders, and actual work destroys my flow. Now I can stay in one conversation and just describe what I need. The interesting technical challenges: 1. API Complexity Abstraction Tally's API requires deeply nested objects for simple fields. An email field needs ~10 nested objects with UUIDs. I built a translation layer so users can just say "add an email field" in natural language, and the server handles the complex structure behind the scenes. 2. Safe Bulk Operations For destructive operations, I implemented a preview-then-confirm pattern. The server generates a confirmation token during preview that must be passed back for execution. This prevents accidental mass deletions while keeping the conversation flow natural. 3. Smart Rate Limiting The server monitors API responses and adjusts its behavior dynamically. When hitting rate limits, it automatically reduces batch sizes and adds delays between requests. Added randomization to prevent multiple instances from hitting the API simultaneously. 4. Type Safety Throughout Full TypeScript with runtime validation for both MCP messages and Tally API responses. This caught several undocumented API quirks during development. Performance notes: - Batch creation of 100 forms: ~12 seconds with batched operations - Individual creation of 100 forms: ~5 minutes due to rate limits - Human creation of 100 forms: probably a full week of mind-numbing clicking - Submission analysis across 10K responses: ~3 seconds The code is ISC licensed: https://ift.tt/TEBUmrF This particularly helps when you need to create multiple similar forms but your brain rebels at repetitive tasks. Curious if others are building MCP servers and what workflows you're optimizing for. Also interested in thoughts on MCP vs traditional CLI tools. The conversational interface is slower for simple operations but much better for complex, multi-step tasks where you might forget the exact syntax. https://ift.tt/TEBUmrF June 26, 2025 at 02:24AM

Show HN: I rawdog a MCP server from scratch in Zig. No SDK https://ift.tt/jM6UpW5

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/xebsDRJ [2] https://ift.tt/Fm7u9DJ... https://ift.tt/jlwmk1Z June 25, 2025 at 11:44PM

Show HN: Autohive – Build AI agents the easy way for everyday teams https://ift.tt/2V719rJ

Show HN: Autohive – Build AI agents the easy way for everyday teams https://ift.tt/FtvhaP7 June 26, 2025 at 01:09AM

Show HN: PLJS – JavaScript for Postgres https://ift.tt/bgSOVZj

Show HN: PLJS – JavaScript for Postgres PLJS is a new, modern JavaScript trusted language extension, bundling QuickJS, a small and fast JavaScript runtime with Postgres, providing fast type conversion between Postgres and JavaScript, fast execution, and a very light footprint. Here are bencharks that show how it compares to PLV8: https://ift.tt/tYrjAlI This is the first step toward a truly light-weight, fast, and extensible JavaScript runtime embedded inside of Postgres. The initial roadmap has been published at https://ift.tt/Ds9JI5U You can join the discussion by joining the PLV8 Discord: https://ift.tt/dfL9We7 You can find PLJS at https://ift.tt/Vfioc2Y June 26, 2025 at 01:06AM

Show HN: Logcat.ai:AI-powered observability for Operating Systems(Android+Linux) https://ift.tt/W8b60Oz

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: I built a tool to create App Screenshots https://ift.tt/YRBh2O3

Show HN: I built a tool to create App Screenshots I built a tool to create stunning App Store & Google Play Screenshots. https://ift.tt/pqAPHJo June 25, 2025 at 01:07AM

Show HN: Comparator - I built a free, open-source app to compare job offers https://ift.tt/4WPqNx6

Show HN: Comparator - I built a free, open-source app to compare job offers https://ift.tt/lzWGYP4 June 24, 2025 at 05:30AM

Show HN: I made a fun quiz that reviews last week's top posts on r/programming https://ift.tt/B9LGim7

Show HN: I made a fun quiz that reviews last week's top posts on r/programming https://ift.tt/ksPxrYC June 24, 2025 at 02:18AM

Show HN: TNX API – Natural Language Interactions with Your Database https://ift.tt/CODRGBt

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/Pxs9wDm 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/Pxs9wDm (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/Pxs9wDm June 24, 2025 at 12:48AM

Show HN: Pickaxe – a TypeScript library for building AI agents https://ift.tt/xwy4g1K

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/x1tAp7q... 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/Nxr2qwe We'd greatly appreciate any feedback you have and hope you get the chance to try out Pickaxe. https://ift.tt/JqFZiPp June 20, 2025 at 09:37PM

Show HN: Lazycontainer: A Terminal UI for Apple Containers https://ift.tt/PV92Zpt

Show HN: Lazycontainer: A Terminal UI for Apple Containers Apple finally released native support for Containers, but it's missing a terminal UI. I'm building this TUI to make managing Apple containers easy, just like lazydocker made it easy to manage all things Docker. Existing Docker compatible TUIs do not support Apple containers. The current version has support for managing containers and images. Feedback, issue reports, and PRs are appreciated :) https://ift.tt/odFAbuL June 23, 2025 at 12:14AM

Show HN: Stacklane – GitHub App for Stacked PR Clarity https://ift.tt/KHACtgr

Show HN: Stacklane – GitHub App for Stacked PR Clarity https://stacklane.dev June 23, 2025 at 12:25AM

Show HN: Turn a paper's DOI into its full reference list (BibTeX/RIS, etc.) https://ift.tt/JHyYEzi

Show HN: Turn a paper's DOI into its full reference list (BibTeX/RIS, etc.) https://ift.tt/uW6yqlX June 22, 2025 at 11:55PM

Show HN: Good old emails and LLMs for automating job tracking https://ift.tt/sfXKBay

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: To-Userscript: Chrome Extension to Userscript Converter https://ift.tt/QC6evkV

Show HN: To-Userscript: Chrome Extension to Userscript Converter https://ift.tt/yumrP79 June 22, 2025 at 12:55AM

Show HN: Swift UI app for extracting beer information by just taking photos https://ift.tt/154chTk

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/1j6Mniw June 21, 2025 at 03:49PM

Show HN: Inspect and extract files from MSI installers directly in your browser https://ift.tt/qrcbR81

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/yxJG1fE 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/t1ElQix ) 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/2xUVukg.... 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/aFuhP0x ). I'd love to hear your feedback and answer any questions! https://ift.tt/yxJG1fE June 21, 2025 at 01:34AM

Show HN: Vpuna AI Search – A semantic search platform https://ift.tt/Mftw5r6

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/FgWhS1O Thank you for your time. https://ift.tt/OLc8kq9 June 20, 2025 at 11:24PM

Show HN: RM2000 Tape Recorder, an audio sampler for macOS https://ift.tt/X2oNpmG

Show HN: RM2000 Tape Recorder, an audio sampler for macOS RM2000 Tape Recorder makes it stupid simple to grab audio samples and organize them: just record the sample, give it a title (and maybe some tags), and it is saved neatly into a directory of your choosing. I'm a huge datahoarder and have always appreciated tools / services like PureRef and Are.na which help me make sense of everything I collect. Those services concern themselves with images and video - I wondered, why can't the same be done with music and audiofiles? I actually got the inspiration for the filenaming scheme from the Emacs Denote package - every sample is saved in the format of title--tag1--tag2.mp3. Emacs Denote does something similar, for example an identifier--title--keywords.org . I chose this method as any file browser with fuzzy search can search through samples, i.e. - the Ableton file browser. Just search up some of the tags, and a title, and you'll be able to find your sample. I wanted this app to look good, as well (and is why I spent so much time making it!) The app is made with a mix of SwiftUI and AppKit, while the assets were rendered in Sketch I appreciate your time and I'd love to hear your thoughts on it. If you do download it, and find suggestions / bugs, please let me know! Cheers https://rm2000.app June 17, 2025 at 09:50PM

Show HN: Relix: A Unix-like OS based on MIT's xv6 https://ift.tt/pRtFIyw

Show HN: Relix: A Unix-like OS based on MIT's xv6 Hello everyone, this is my first post as someone encouraged me to post this here. I have been working on Relix for over a year and am willing to answer any questions you may have! https://ift.tt/aql9pUR June 20, 2025 at 12:53AM

Show HN: AI Debate Arena – See Which LLM Argues Best https://ift.tt/94OmjDu

Show HN: AI Debate Arena – See Which LLM Argues Best Ever wish you could get the best arguments for both sides of a debate? I built an AI-powered debate platform that pits language models against each other on controversial topics. Each AI is randomly assigned a side (pro/con). You vote before and after to see if you were persuaded. Most content today presents lopsided arguments. They provide strong points for one side, weak ones for the other. This project aims to surface the strongest arguments from both sides, using LLMs to simulate a fair debate. With enough usage, I want to use it to benchmark LLMs. My hypothesis is that randomly assigning sides of the debate, models with built-in biases will score worse. It’s currently using GPT 4o, Grok 3, and Gemini 2.5 Flash. It’s early, still rough around the edges, and I’d love feedback on the concept and direction. Curious how the HN crowd thinks this could evolve. It’s built for the intellectually curious that are open minded about changing their positions. Some next steps I’m considering: - Tuning the length and structure of arguments - Prompting improvements to reduce rhetorical fluff - Optional audio output of debates Try it out and let me know what you think! https://ift.tt/wU6QRA2 June 19, 2025 at 01:56AM

Show HN: Turn long form videos into short form clips https://ift.tt/PyKjgk8

Show HN: Turn long form videos into short form clips https://ift.tt/iczmNZt June 18, 2025 at 11:22PM

Show HN: I couldn't poop, so I built an app to track digestion in real-time https://ift.tt/bgUfWBq

Show HN: I couldn't poop, so I built an app to track digestion in real-time https://ift.tt/ZNs2qSM June 19, 2025 at 12:02AM

Show HN: Superscan – Visualize filetree for filesystem, gdrive, S3 buckets etc. https://ift.tt/vKgmadI

Show HN: Superscan – Visualize filetree for filesystem, gdrive, S3 buckets etc. https://ift.tt/U9H8IQt June 18, 2025 at 02:52AM

Show HN: PMDb – Public Movie Database https://ift.tt/yWIOqoA

Show HN: PMDb – Public Movie Database https://pmdb.dev/ June 18, 2025 at 12:07AM

Show HN: I built a FOSS tool to run your Steam games in the Cloud https://ift.tt/rT6pEGs

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/nQlY5EZ ) 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/NAIWuXo ) 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/nQlY5EZ June 18, 2025 at 12:27AM

Show HN: Nexus.js - Fabric.js for 3D https://ift.tt/6bU0kFr

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/RjUCtZv June 17, 2025 at 02:03AM

Show HN: Drop – Svelte like compiler for Web components https://ift.tt/Oj0PQb3

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/vjJPoQz Blog post: https://ift.tt/iJn4I1b... I’d appreciate some feedback before committing more time to this project ! https://ift.tt/vjJPoQz June 17, 2025 at 12:25AM

Show HN: Canine – A Heroku alternative built on Kubernetes https://ift.tt/nEe6PSL

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/Ir2jHpw Cloud hosted version is: https://canine.sh https://ift.tt/Ir2jHpw June 16, 2025 at 11:57PM

Show HN: Pipo360 – Generate production-ready back end APIs in 60 seconds with AI https://ift.tt/5l2EDWg

Show HN: Pipo360 – Generate production-ready back end APIs in 60 seconds with AI Hi HN , I got tired of writing the same boilerplate over and over — DB setup, auth, routes, security — every time I built a backend. So I built Pipo360 — an AI-powered tool that generates production-ready backends in under 60 seconds, from just a plain-text description. How it works: Type what you need “Create a task management API with user auth and MongoDB” Hit Generate Get real, exportable code Auth (JWT) Database schema CRUD routes Deployable to Vercel, AWS, etc. No templates. No lock-in. Just code that works. Why it’s different: Built with Gemini AI + human supervision (to ensure real prod-quality output) Exports to MongoDB, PostgreSQL, MySQL, SQLite Secure by default (JWT, RBAC, etc.) Supports no-login backend previews Try it live (No signup needed): https://pipo360.xyz Would love feedback: What backend would you try first? What would make it better for your workflow? Would open sourcing part of it be useful? https://pipo360.xyz June 16, 2025 at 01:16AM

Show HN: Seastar – Build and dependency manager for C/C++ with Cargo's features https://ift.tt/Fb0YQdp

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/MiBONcf June 16, 2025 at 01:06AM

Show HN: Get nutrition labels for any recipe (YouTube, Website, Text, Image) https://ift.tt/yUFwXbv

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: Tikt.com – Remove the "OK" from TikTok URL's to Download as MP3 or MP4 https://ift.tt/kHFRY7o

Show HN: Tikt.com – Remove the "OK" from TikTok URL's to Download as MP3 or MP4 https://tikt.com/ June 15, 2025 at 11:32PM

Show HN: ZeroConfigDNLA – Easy to run media server in Python https://ift.tt/VHiz8py

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/FrZGIB8 June 15, 2025 at 03:46AM

Show HN: S3mini(v0.2) – Basic S3 Support for Ceph and Oracle Object Storage https://ift.tt/NdK0RFP

Show HN: S3mini(v0.2) – Basic S3 Support for Ceph and Oracle Object Storage https://ift.tt/M10aroS June 15, 2025 at 04:18AM

Show HN: AnyCrawl v0.0.1-alpha.5 – custom user-agent and richer scraping API https://ift.tt/OxJ0clw

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/czTLNun June 14, 2025 at 11:18PM

Show HN: I built a Mac app to restore Dock-click minimize and avoid tiny buttons https://ift.tt/YaRM7Ud

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/JjowNtS https://ift.tt/JjowNtS June 14, 2025 at 11:51PM

Show HN: Shelly, terminal assistant that translates natural language into shell https://ift.tt/bxrnyRu

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/83Qiz7V June 14, 2025 at 04:13AM

Show HN: Gem and I built an open-source app to learn Japanese https://ift.tt/62wUQFo

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/8VNcBgO ]( https://ift.tt/8VNcBgO )* 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 https://ift.tt/s2ASjCg

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/fxGFXDW Always open to ideas, critiques, or ways to make it better. https://ift.tt/eitruCO June 13, 2025 at 10:32PM

Show HN: Dead simple clock for hidden menubar users https://ift.tt/l9Sxznw

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/tHmboMY June 13, 2025 at 11:27PM

Show HN: Vim-like text editor in go. (LSP, TreeSitter, Themes) https://ift.tt/TAhK1c3

Show HN: Vim-like text editor in go. (LSP, TreeSitter, Themes) Hey! Check out my "toy" text editor which I use as my daily driver. Features LSP autocomplete, goto definition, hover info Tree-sitter support Color themes (borrowed from the Helix text editor) Lots of bugs Macro support Something like Emacs org-mode: Open test.txt, place the cursor at line 15, and press "Ctrl-C Ctrl-C". This project was written as a "speed run" — not for speed in terms of time, but rather as an exercise to explore the text editor problem space without overthinking or planning ahead. It’s a quick and "dirty" implementation, so to speak. https://ift.tt/cj8h5sB https://ift.tt/cj8h5sB June 12, 2025 at 07:02PM

Show HN: ChatToSTL – AI text-to-CAD for 3D printing https://ift.tt/oqS7LAr

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/ev9tnSL 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/0ScDyEv... * 90-sec demo: https://www.youtube.com/watch?v=ZK_IDaNn1Mk * MIT repo: https://ift.tt/DAxUqKM 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/ev9tnSL June 12, 2025 at 11:28PM

Show HN: AuraCoder – Gen AI Learning Platform https://ift.tt/RI2iD1J

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: I created an AI search engine for the Quebec Civil Code https://ift.tt/tNU693J

Show HN: I created an AI search engine for the Quebec Civil Code https://ift.tt/lKIS6gH June 12, 2025 at 06:33AM

Show HN: The Roman Industrial Revolution that could have been https://ift.tt/Z3zAlJm

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/IMKAGwi June 12, 2025 at 05:21AM

Show HN: I built a loadout building and sharing tool for Helldivers 2 https://ift.tt/gjY5Sla

Show HN: I built a loadout building and sharing tool for Helldivers 2 If there are any Helldivers 2 players who are missing the option to build and share team comps/loadouts with their friends, hopefully you will find the tool helpful! https://ift.tt/TMimXnt June 11, 2025 at 02:35AM

Show HN: A "Course" as an MCP Server https://ift.tt/jkpzhAw

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/ERN0lqn... ) https://ift.tt/zejI8n4 June 11, 2025 at 02:06AM

Show HN: MidWord – A Word-Guessing Game https://ift.tt/jTi9dBN

Show HN: MidWord – A Word-Guessing Game https://midword.com/ June 11, 2025 at 12:12AM

Show HN: MuJS Running on TempleOS https://ift.tt/qRvPXwk

Show HN: MuJS Running on TempleOS https://ift.tt/wQ0YStg June 10, 2025 at 05:59AM

Show HN: An open-source rhythm dungeon crawler in 16 x 9 pixels https://ift.tt/k2BwUE7

Show HN: An open-source rhythm dungeon crawler in 16 x 9 pixels I just released my latest Godot project, a rhythm-based dungeon crawler a la Crypt of the Necrodancer. The entire game plays out in 16 x 9 pixels because of a dare from my game dev group. I've open-sourced (MIT) the code and project files. Of course, the music files I don't own aren't included in the Github project, but I'm releasing the game's hand-crafted pixel sprites under CC0. The Github page also talks about some of the tricks you need to make the rhythm part of the game play nice with the dungeon crawling part. https://ift.tt/8nH57up June 6, 2025 at 03:50PM

Show HN: RenderDay: A GPU-only render farm for Blender https://ift.tt/FMWwCg6

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 https://ift.tt/Q7ORJhm

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/eA31jvC June 10, 2025 at 02:28AM

Show HN: Hexplain – Making medical papers accessible with AI https://ift.tt/ON46nhQ

Show HN: Hexplain – Making medical papers accessible with AI https://hexplain.ai/ June 9, 2025 at 02:40AM

Show HN: CurveFit Pro – Advanced nonlinear curve fitting in the browser https://ift.tt/kRIxuKe

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/Jig0YD6 June 8, 2025 at 09:01PM

Show HN: Small tool to query XML data using XPath https://ift.tt/31KZFLx

Show HN: Small tool to query XML data using XPath https://ift.tt/6s0XJWy June 8, 2025 at 02:23AM

Show HN: AI that extracts brand identity from websites to generate ads https://ift.tt/Tm6LerB

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: A free, fast, and modern vehicle diagnostics tool https://ift.tt/84TOiRA

Show HN: A free, fast, and modern vehicle diagnostics tool https://ift.tt/udDMmpr June 7, 2025 at 11:57PM

Show HN: Solomon's Agent - a CLI to simplify the web https://ift.tt/dHfP9ZI

Show HN: Solomon's Agent - a CLI to simplify the web https://ift.tt/3RnqKX1 June 6, 2025 at 10:54PM

Show HN: AI game animation sprite generator https://ift.tt/WQYnhAE

Show HN: AI game animation sprite generator I tried to build AI game animation generator last year ( https://ift.tt/VCIAUnG ), 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/P5VeI38 June 7, 2025 at 01:00AM

Show HN: Lightweight Durable Workflows Built on Postgres https://ift.tt/yzbElje

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/KHtu8Uj June 6, 2025 at 10:39PM

Show HN: MCP-Cloud – One-click hosting for MCP servers (50 templates) https://ift.tt/SotdEBx

Show HN: MCP-Cloud – One-click hosting for MCP servers (50 templates) https://mcp-cloud.ai/ June 6, 2025 at 01:47AM

Show HN: Create LLM graders and run evals in JavaScript with one file https://ift.tt/0knyjTt

Show HN: Create LLM graders and run evals in JavaScript with one file Hi HN! Run it: OPENROUTER_API_KEY="sk" npx bff-eval --demo We built a tool to help people take LLM outputs and easily grade them / eval them to know how good an assistant response is. We've built a number of LLM apps, and while we could ship decent tech demos, we were disappointed with how they'd perform over time. We worked with a few companies who had the same problem, and found out scientifically building prompts and evals is far from a solved problem... writing these things feels more like directing a play than coding. Inspired by Anthropic's constitutional ai concepts, and amazing software like DSPy, we're setting out to make fine tuning prompts, not models, the default approach to improving quality using actual metrics and structured debugging techniques. Our approach is pretty simple: you feed it a JSONL file with inputs and outputs, pick the models you want to test against (via OpenRouter), and then use an LLM-as-grader file in JS that figures out how well your outputs match the original queries. If you're starting from scratch, we've found TDD is a great approach to prompt creation... start by asking an LLM to generate synthetic data, then you be the first judge creating scores, then create a grader and continue to refine it till its scores match your ground truth scores. If you’re building LLM apps and care about reliability, I hope this will be useful! Would love any feedback. The team and I are lurking here all day and happy to chat. Or hit me up directly on Whatsapp: +1 (646) 670-1291 We have a lot bigger plans long-term, but we wanted to start with this simple (and hopefully useful!) tool. Run it: OPENROUTER_API_KEY="sk" npx bff-eval --demo https://ift.tt/QDwMlVI June 5, 2025 at 09:50PM

Show HN: Magix – Chrome extension to add any feature to any website https://ift.tt/pAgtoj9

Show HN: Magix – Chrome extension to add any feature to any website Hey guys! I'm Kishan, I built this chrome extension that lets you add any feature to any website I asked it to do these: a text transcription button(which used deepgram) to lovable using this extension. an auto scrolled for every 5 sec in medium. dark mode to stripe dashboard. Yea did quite a lot. But i wanna know how it works for others and if its truly useful by any chance. So guys feel free to use it. My last show hn post was a flop so decided to try it again after returning from bathroom, so yeah Thx :) and if u run out of credits just let me know, i'll get u sorted -> https://ift.tt/saML08t https://trymagix.com/ June 5, 2025 at 01:24AM

Show HN: Smart Palette – Reimagining AI Art https://ift.tt/HPtOhFQ

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/k1xzdOK?... https://ift.tt/kG1A2jo June 5, 2025 at 12:58AM

Show HN: Cloudflare Workers Compatible MCP Boilerplate with OAuth & PostgreSQL https://ift.tt/3wp5y7i

Show HN: Cloudflare Workers Compatible MCP Boilerplate with OAuth & PostgreSQL https://ift.tt/MgfTRd8 June 5, 2025 at 12:26AM

Show HN: I'm Building Ahrefs for AI Search Results https://ift.tt/nwHq6SK

Show HN: I'm Building Ahrefs for AI Search Results AI search results are quickly becoming more important than SEO, but as businesses, we have no visibility over it! That's why I'm building "Ahrefs for AI search results". Track keyword performance on AI tools like ChatGPT, Claude, Perplexity & more https://linrush.com/ June 3, 2025 at 11:55PM

Show HN: pgarrow – A SQLAlchemy PostgreSQL dialect for ADBC https://ift.tt/M5EdkyX

Show HN: pgarrow – A SQLAlchemy PostgreSQL dialect for ADBC https://ift.tt/ZNFP5wa June 3, 2025 at 11:40PM

Show HN: I build one absurd web project every month https://ift.tt/KFgY1xD

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 https://ift.tt/Y2NJZ3e

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/9mkJwB0 " # Returns clean markdown: curl " https://ift.tt/K7pD4ei " ``` *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/UeHYpdo 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: Detect leaked asyncio tasks, threads, event loop blocks in Python https://ift.tt/zlQSW8L

Show HN: Detect leaked asyncio tasks, threads, event loop blocks in Python https://ift.tt/qUvk5Cr June 2, 2025 at 10:24PM

Show HN: MBCompass - Android Compass App https://ift.tt/oFRYALX

Show HN: MBCompass - Android Compass App Hey HN, I built MBCompass, a lightweight, privacy-friendly compass app for Android. It works fully offline, doesn’t ask for unnecessary permissions (no GPS, no internet), and is open source. Most compass apps out there are bloated or ad-heavy. I wanted something clean, fast, and featurish. So I made this! It’s only ~1.7 in size and uses a low-pass filter to smooth sensor readings. I’d love feedback or thoughts – especially from others building simple, privacy-first apps! https://ift.tt/tmN6oqI https://ift.tt/FqtBDvP https://ift.tt/FqtBDvP June 2, 2025 at 09:28AM

Show HN: I built an AI Agent that uses the iPhone https://ift.tt/WvXuin4

Show HN: I built an AI Agent that uses the iPhone It’s powered by OpenAI’s GPT 4.1 model. Uses Xcode UI tests + accessibility tree to look into apps, and performs swipes, taps, etc to get things done. https://ift.tt/Lc5Ftzr June 2, 2025 at 08:07AM

Show HN: Moon Phase Algorithms for C, Lua, Awk, JavaScript, etc. https://ift.tt/1ZykS69

Show HN: Moon Phase Algorithms for C, Lua, Awk, JavaScript, etc. https://ift.tt/JEH5Tst June 2, 2025 at 04:52AM

Show HN: You2Aanki – Turn Videos into Anki Vocabulary Flashcards https://ift.tt/dOjtKGi

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