Show HN: I created a cross-platform GUI for the JJ VCS (Git compatible) Personally, I think the JJ VCS ( https://ift.tt/Nh3gj6v ) hit a point some time in this past year where I find it hard to find a great reason to continue using git. Over the years I've cobbled together aliases and bash functions to try to improve my git workflow, but after using jj, which works with ~any git repo and integrates great with Github repos, all of the workflow issues I ran into with git are not only solved, but improved in ways I couldn't manage with simple scripts. One example is the op log, which lets you go to any point in your repo's time and provides simple undo and redo commands when you want to back out of a merge, didn't mean to rebase, etc. Because I have a pretty strong conviction that JJ is at this point a cleaner and more powerful version of git, my hopes are that it continues to grow. With that, it seemed a proper full-featured GUI was missing for the VCS. There's some plugins that add some integration into VS Code, and there's one in the works to get Intellij support working, but many of the constructs JJ provides in my opinion necessitate a grounds-up build of a GUI around how JJ works. Right now, Judo for JJ is an MVP in an open beta. I did my best to support all of the core functionality one would need, though there's many nice-to-haves that I am going to add, like native merge support, native splitting, etc. Most of this will be based on feedback from the Beta. I'm really grateful for the great community JJ has built, alongside the HN community itself in the countless VCS-based posts I've read over the years, and am hoping for lots of input here during Beta under real usage - the goal is to be a full-featured desktop GUI for the VCS, similar to many of the great products that are out there for git. https://judojj.com October 20, 2025 at 09:05PM
Show HN: NativeBlend – Text to fully editable 3D Models that don't suck I'm a developer (not a 3D artist) who's been frustrated with current AI text-to-3D tools — most produce messy, monolithic meshes that are unusable without hours of cleanup. So I built NativeBlend, a side project aimed at generating editable 3D assets that actually fit into a real workflow. Key features: - Semantic Part Segmentation: Outputs separate, meaningful components (e.g., wheels, doors), not just a single mesh blob. - Native Blender Output: Generates clean, structured .blend files with proper hierarchies, editable PBR materials, and decent UVs — no FBX/GLB cleanup required. The goal is to give devs a usable starting point for game assets without the usual AI slop. I have a working demo and would love feedback: Does this solve a real need, or am I just scratching my own itch? Thanks for taking a look! https://native-blend-app.vercel.app/ October 21, 2025 at 12:27AM
Show HN: CheckHN – A checklist for the most popular Hacker News posts I realized that I'm more interested in the all-time top content on Hacker News than in whatever is popular right now. To better keep track of which posts I've already read, I built a small web app that displays all posts sorted by popularity and allows me to check them off or save them for later. https://ift.tt/CpibuLV October 19, 2025 at 10:58PM
Show HN: WP-Easy, framework to build WordPress themes The inspiration for this framework came from my brother, an amazing graphic designer who wanted to build WordPress themes using only his FTP-based code editor. He knows HTML and CSS really well, and some jQuery, but not modern JavaScript. In my experience, this is common for people whose jobs are tangential to frontend web development... designers, copywriters, project managers, and backend engineers. So this is for people who don't want to deal with the mess of modern build tools. It tries to nudge people into a more modern direction: component-based architecture, JS modules, SCSS, and template routing. WP-Easy lets people like my brother build professional, modern themes without the usual barriers, just code with your favorite editor and see the results instantly. Key features: 1. File-based routing - Define routes in router.php with Express-like syntax (/work/:slug/) 2. Single File Components - PHP templates with
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Show HN: Code review for AI native teams Bottleneck is a desktop app for code reviewing AI-written pull requests. The goal is to be able to track PRs on GitHub authored by agents (i.e. Codex, Devin, Cursor, Claude Code) and compare branches. So if you throw multiple coding agents at a ticket, this would be an easier way to let agents "bake off" against each other and pick the best one. (No need to open the Github website and switch between slow loading tabs). I'd love feedback from any power users who are deep with AI coding agents. https://ift.tt/DRKLdHz October 18, 2025 at 05:52AM
Show HN: I turned my resume into a catchy song. It's a game changer I turned my resume into a catchy pop song. Thought you'd all appreciate it. Worked directly on the Song Style prompt, which you can duplicate for your own fun catchy resume song. Just replace the lyrics! https://ift.tt/R5jP9xs October 18, 2025 at 02:22AM
Show HN: We packaged an MCP server inside Chromium Hey HN, we just shipped a browser with an inbuilt MCP server! We're a YC startup (S24) building BrowserOS — an open‑source Chromium fork. We're a privacy‑first alternative to the new wave of AI browsers like Dia, Perplexity Comet. Since launching ~3 months ago, the #1 request has been to expose our browser as an MCP server. -- Google beat us to launch with chrome-devtools-mcp (solid product btw), which lets you build/debug web apps by connecting Chrome to coding assistants. But we wanted to take this a step further: we packaged the MCP server directly into our browser binary. That gives three advantages: 1. MCP server setup is super simple — no npx install, no starting Chrome with CDP flags, you just download the BrowserOS binary. 2. with our browser's inbuilt MCP server, AI agents can interact using your logged‑in sessions (unlike chrome-devtools-mcp which starts a fresh headless instance each time) 3. our MCP server also exposes new APIs from Chromium's C++ core to click, type, and draw bounding boxes on a webpage. Our APIs are also not CDP-based (Chrome Debug Protocol) and have robust anti-bot detection. -- Few example use cases for BrowserOS-mcp are: a) *Frontend development with Claude Code*: instead of screenshot‑pasting, claude-code gets WYSIWYG access. It can write code, take a screenshot, check console logs, and fix issues in one agentic sweep. Since it has your sessions, it can do QA stuff like "test the auth flow with my Google Sign‑In." Here's a video of claude-code using browserOS to improve the css styling with back-and-forth checking: https://youtu.be/vcSxzIIkg_0 b) *Use as an agentic browser:* You can install BrowserOS-mcp in claude-code or Claude Desktop and do things like form-filling, extraction, multi-step agentic tasks, etc. It honestly works better than Perplexity Comet! Here's a video of claude-code opening top 5 hacker news posts and summarizing: https://youtu.be/rPFx_Btajj0 -- *How we packaged MCP server inside Chromium binary*: We package the server as a Bun binary and expose MCP tools over HTTP instead of stdio (to support multiple sessions). And we have a BrowserOS controller installed as an extension at the application layer which the MCP server connects to over WebSocket to control the browser. Here's a rough architecture diagram: https://dub.sh/browseros-mcp-diag -- *How to install and use it:* We put together a short guide here: https://ift.tt/foNBubc Our vision is to reimagine the browser as an operating system for AI agents, and packaging an MCP server directly into it is a big unlock for that! I'll be hanging around all day, would love to get your feedback and answer any questions! https://ift.tt/15Ta72t October 17, 2025 at 09:52PM
Show HN: Inkeep (YC W23) – Agent builder that works both visually and in code Hi HN! I'm Nick from Inkeep. We built an agent builder with true 2-way sync between code and a drag-and-drop visual editor, so devs and non-devs can collaborate on the same agents. Here’s a demo video: https://ift.tt/5PZvJHE . As a developer, the flow is: 1) Build AI Chat Assistants or AI Workflows with the TypeScript SDK 2) Run `inkeep push` from your CLI to publish 3)Edit agents in the visual builder (or hand off to non-technical teams) 4) Run `inkeep pull to edit in code again. We built this because we wanted the accessibility of no-code workflow builders (n8n, Zapier), but the flexibility and devex of code-based agent frameworks (LangGraph, Mastra). We also wanted first-class support for chat assistants with interactive UIs, not just workflows. OpenAI got close, but you can only do a one-time export from visual builder to code and there’s vendor lock-in. How I've used it: I bootstrapped a few agents for our marketing and sales teams, then was able to hand off so they can maintain and create their own agents. This has enabled us to adopt agents across technical and non-technical roles in our company on a single platform. To try it, here’s the quickstart: https://ift.tt/vTMaOVB . We leaned on open protocols to make it easy to use agents anywhere: An MCP endpoint, so agents can be used from Cursor/Claude/ChatGPT A Chat UI library with interactive elements you can customize in React An API endpoint compatible with the Vercel AI SDK `useChat` hook Support for Agent2Agent (A2A) so they work with other agent ecosystems We made some practical templates like a customer_support, deep_research, and docs_assistant. Deployment is easy with Vercel/Docker with a fair-code license and there's a traces UI and OTEL logs for observability. Under the hood, we went all-in on a multi-agent architecture. Agents are made up of LLMs, MCPs, and agent-to-agent relationships. We’ve found this approach to be easier to maintain and more flexible than traditional “if/else” approaches for complex workflows. The interoperability works because the SDK and visual builder share a common underlying representation, and the Inkeep CLI bridges it with a mix of LLMs and TypeScript syntactic sugar. Details in our docs: https://docs.inkeep.com . We’re open to ideas and contributions! And would love to hear about your experience building agents - what works, hasn’t worked, what’s promising? https://ift.tt/4yfcZim October 16, 2025 at 06:20PM
Show HN: Coordable – Get better geocoding results with AI cleaning and analytics I’ve been working on a tool called Coordable, which helps analyze and improve geocoding results. If you’ve ever dealt with geocoding at scale, you’ve probably hit two recurring problems: Garbage in = garbage out. Addresses are often messy (“2nd floor”, “/”, abbreviations, multiple addresses in one line…). Most geocoders will fail or return incorrect matches if the input isn’t perfectly normalized. A result isn’t always a correct result. Many providers return something even if it’s wrong — e.g. shifting a house number, or confusing similar street names. Assessing whether a geocoded result is actually right is surprisingly hard to automate. Coordable tries to address both issues with AI and analytics: Uses an LLM-based cleaner to normalize messy addresses (multi-country support). Automatically evaluates geocoding accuracy by comparing input and output like a human would. Lets you benchmark multiple providers (Google, HERE, Mapbox, Census, BAN, etc.) side by side. Includes a dashboard to visualize results, quality metrics, and exports. It’s not a new geocoder — it wraps existing APIs and focuses on data quality, comparison, and automation. It’s currently in beta with free credits. If you work with geocoding or address data, I’d love to hear how you handle these challenges and what kind of analytics would be most useful to you. https://coordable.co/ October 16, 2025 at 11:11PM
Show HN: How Useless Are You? A brutally honest skills check We built this to answer "am I a fit for this role?" after noticing how hard it is to get honest feedback when applying to a YC startup or something else entirely. It's a custom 5-minute challenge that roasts you after. Added a leaderboard for those who want to see how they stack up. Roast us below. https://ift.tt/rkuvTo4 October 16, 2025 at 11:04PM
Show HN: Achilleus – Security monitoring for agencies managing client websites Most security tools are either free-but-limited (SSL Labs) or enterprise-priced ($200+/month). Nothing existed for freelancers and small agencies managing multiple sites affordably. So I built it. It scans all your domains in ~30 seconds, shows you a simple security score, flags issues, and generates professional PDFs you can send to clients. No complex setup, no security expertise required. Currently $27/month for 10 domains with unlimited scans. The MVP is live and working well, but I want real feedback before pushing hard on growth. Looking for beta users—especially freelancers or small agency owners managing 5+ client sites. If you're interested, I'd love to hear what works and what doesn't: https://achilleus.so Happy to answer questions in the comments. https://ift.tt/dNgz46b October 16, 2025 at 07:34AM
Show HN: Pxxl App – A Nigerian Alternative to Vercel, Render, and Netlify Hi HN, I built Pxxl App — a free web hosting and deployment platform for developers in Nigeria and beyond. It’s a Nigerian alternative to Vercel, Render, and Netlify, designed for those who want a simple, fast, and barrier-free way to host both frontend and backend apps. With Pxxl App, you can connect your Git repo and deploy in seconds — no credit card, no limits. You’ll get a live subdomain like yourapp.pxxl.pro, automatic builds, and continuous deployment. It supports: • Frontend frameworks: React, Next.js, Vue, Svelte, and more • Backend projects: Node.js, PHP, and Python • Features like environment variables, CI/CD, and instant rollback The goal is to make cloud deployment accessible to African and global developers without the typical payment or region restrictions. It’s completely free to start, and I’d love to hear feedback from the HN community on how to improve it or what features you’d want next. Check it out: https://pxxl.app https://pxxl.app October 15, 2025 at 11:55PM
Show HN: Specific (YC F25) – Build backends with specifications instead of code Hi folks! Iman and I (Fabian) have been building Specific for a while now and are finally opening up our public beta. Specific is a platform for building backend APIs and services entirely through natural-language specifications and tests, without writing code. We then automatically turn your specs into a working system and deploy it for you, along with any infrastructure needed. We know a lot of developers who have already adopted spec-driven development to focus on high-level design and let coding agents take care of implementation. We are attempting to take this even further by making the specs themselves the source of truth. Of course, we can’t blindly trust coding agents to follow the spec, so we also support adding tests that will run to ensure the system behaves as expected and to avoid regressions. There is so much ground to cover, so we are focusing on a smaller set of initial features that in our experience should cover a large portion of backends: - An HTTP server for each project. Authentication can be added by simply stating in the spec how you want to protect your endpoint. - A database automatically spun up and schema configured if the spec indicates persistence is needed. - External APIs can be called. You can even link out to API docs in your specs. You currently can’t see the generated code, but we are working on enabling it. Of course, we don’t claim any ownership of the generated code and will gladly let you export it and continue building elsewhere. Specific is free to try and we are really eager to hear your feedback on it! Try it here: https://ift.tt/cAePvkf https://specific.dev/ October 15, 2025 at 10:51PM
Show HN: Cmux – Coding Agent Multiplexer HN, I'm stoked to share this product I've been working on non-stop for the past few weeks. It's an immersive GUI experience for working with many coding agents in parallel. The UX should be familiar to Claude Code users, but we took advantage of the GUI nature to add in a bunch more. cmux is early but certainly usable—almost all of our internal cmux development rolls through cmux itself. Please let me know your thoughts and feedback! https://ift.tt/fmnFbDS October 15, 2025 at 11:10PM
Show HN: Wispbit – Keep codebase standards alive Hey HN! Ilya and Nikita here. We're building wispbit ( https://wispbit.com ) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context. So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time. You can enforce these rules during code review, and because we have this rules system, you can run a CLI locally to review using these rules. You can think of it as a portable rules file that you can bring anywhere. We put a lot of work into making a system that produces good rules and avoids slop. For repository crawling, we have an agent that dispatches subagents, similar to Anthropic's research agent. These subagents will go through and look for common patterns within modules and directories, and report back to the main agent, which synthesizes the results. We also do a historical scan on your pull request comments, determine which ones were addressed, filter out comments that wouldn't make a good rule, and use that to create or update rules. Our early users are seeing 80%+ resolution rates, meaning that 80% of comments that wispbit makes are resolved. Long-term, we see ourselves being a validation layer for AI-written code. With tools like Devin and Cursor, we find ourselves having to re-prompt the same solution many times. We still don't know the long-term implications on AI-assisted codebases, so we want to get in front of that as soon as possible. We've opened up signups for free to HN folks at https://wispbit.com . We're also around to chat and answer questions! https://wispbit.com October 15, 2025 at 01:22AM
Show HN: Ark v0.6.0 – Go ECS with new declarative event system Ark is a high-performance Entity Component System (ECS) library for Go. Ark v0.6.0 introduces a new event system built around lightweight, composable observers. These allow applications to react to ECS lifecycle changes like entity creation/removal, component updates, relation changes using declarative filters and callbacks. Observers follow the same patterns as Ark’s query system, making them easy to integrate and reason about. Custom events are also supported. They can be emitted manually and observed with the same filtering logic, making them ideal for modeling domain-specific interactions such as input handling, and other reactive game logic. As a new performance-related feature, filters and queries are now concurrency-safe and can be executed in parallel. This release also includes a load of performance improvements, from faster archetype switching over optimized query and table creation to improved performance of bitmask operations. The new World.Shrink method helps reclaim unused memory in dynamic workloads. Docs have been expanded with a full guide to the event system, examples for both built-in and custom events, and an Ebiten integration example. A cheat sheet for common operations has been added. Finally, Ark now has 100% test coverage. Changelog: https://ift.tt/6dohaxl Repo: https://ift.tt/6loEsmL Would love feedback from anyone building games, simulations, or ECS tooling in Go. https://ift.tt/6loEsmL October 14, 2025 at 12:34PM
Show HN: Wordle but you have to predict your score before playing If you want to compare your results feel free to join the HN team. However you can also play without signing up for an account. Its a SvelteKit application running on Cloudflare Workers. Would love some feedback on the idea and execution! https://ift.tt/nv8WD6o October 14, 2025 at 08:56AM
Show HN: AI Toy I worked on is in stores Alt link: https://ift.tt/38pl2kR Video demo: https://www.youtube.com/watch?v=0z7QJxZWFQg The first time I talked with AI santa and it responded with a joke I was HOOKED. The fun/nonsense doesn't click until you try it yourself. What's even more exciting is you can build it yourself: libpeer: https://ift.tt/1DdIEQ9 pion: https://ift.tt/O6C0dbh Then go do all your fun logic in your Pion server. Connect to any Voice AI provider, or roll your own via Open Source. Anything is possible. If you have questions or hit any roadblocks I would love to help you. I have lots of hardware snippets on my GitHub: https://ift.tt/wOo3qLR . https://ift.tt/wC842ds October 12, 2025 at 07:45PM
Show HN: Pyreqwest – Powerful and fast Rust-reqwest based HTTP client for Python Python has lacked a batteries-included HTTP library that would have both async and sync clients. Httpx (httpcore), which has offered this, is unfortunately pretty much unmaintained and suffering from huge perf issues ( https://ift.tt/eDXhG7n ). I built pyreqwest HTTP client for Python that is fully Rust based on top of reqwest. It includes all features reqwest offers plus some more. Also including unit testing utilities (mocking, ASGI app support). Go check https://ift.tt/yqf0cJi :) https://ift.tt/yqf0cJi October 13, 2025 at 01:17AM
Show HN: I built a simple ambient sound app with no ads or subscriptions I’ve always liked having background noise while working or falling asleep, but I got frustrated that most “white noise” or ambient sound apps are either paywalled, stuffed with ads, or try to upsell subscriptions for basic features. So I made Ambi, a small iOS app with a clean interface and a set of freely available ambient sounds — rain, waves, wind, birds, that sort of thing. You can mix them, adjust volume levels, and just let it play all night or while you work. Everything works offline and there are no hidden catches. It’s something I built for myself first, but I figured others might find it useful too. Feedback, bugs, and suggestions are all welcome. https://ift.tt/ZWfmypA... https://ambisounds.app/ October 12, 2025 at 08:19PM
Show HN: Recallie AI – Duolingo for learning anything I built an app with a Duolingo-style structured learning system where users can generate full courses from photos, documents, or typed input. Each course includes quizzes, flashcards, and notes, and users can also turn their notes into an AI-generated podcast for audio learning. It’s designed to help students and anyone who wants to learn a topic study smarter and retain more through interactive lessons, quizzes, and podcasts tailored to their learning style. Built with React Native Expo. https://youtu.be/jsRk1vN1xNA?si=iMGZFhj_N2iwBp5n https://ift.tt/4wgaJvz October 12, 2025 at 11:13PM
Show HN: Vello's high-performance 2D GPU engine to .NET VelloSharp v0.5.0-alpha.1 is now available, delivering Vello’s high-performance 2D GPU engine to .NET atop the wgpu 3D backend. Integrates cleanly with Avalonia, WPF, and WinForms to modernize rendering pipelines without disruptive rewrites. https://ift.tt/IJ1L6W4 October 12, 2025 at 03:32AM
Show HN: Sprite Garden - HTML Canvas 2D sandbox and farming Sprite Garden: https://kherrick.github.io/sprite-garden/ A 2D sandbox exploration and farming game that runs entirely in the web browser. As a fully HTML, CSS, and JavaScript game, it is highly readable, hackable, and customizable. Included on "globalThis" is the "spriteGarden" global object with the game config and state readily available. Drawing with tiles is as easy as opening dev tools (use the menu in the browser as keyboard is captured), or entering the "Konami Code," for a full screen view and a map editor. - Share games from the world state manager - Explore unique procedurally generated biomes - Dig for resources like coal, iron, and gold - Use collected materials to place blocks and shape the world - Discover underground cave systems filled with resources - Plant and harvest different crops with "realistic" growth cycles Examples: - Preparing a QR Code to be mined: https://gist.github.com/kherrick/1191ae457e1f6e1a65031c38c2d... - Drawing a heart in the sky: https://gist.github.com/kherrick/3dc9af05bccc126b11cc26fb30a... - Entering the Konami Code (map editor / fullscreen): https://gist.github.com/kherrick/effbe1463d9b78da046f27c5d42... I'm unsure how the game should be taken further, or whether it should progress. Some potential ideas for the future include: - Input Box with JS Execution: Provide a safe, sandboxed input area in the game's UI where players can write small JS functions or scripts (instead of exposing it on globalThis). - API Exposure: Expose a controlled API or object representing game state and functions, like terrain manipulation, crop growth, player movement, to the user script so players can automate or modify behaviors. - Event Hooks: Allow players to register hooks into game events (e.g., world update, planting crops) where their custom code runs, enabling mods or custom automation. - Multiplayer: Use WebRTC to allow many players in the same world. - Actual gamification: Make reasons to play, health meter, powerups, plant combinations, enemies? - Better mobile controls: Currently on screen, no swiping for movement. - Easier building with blocks: Currently block position based on location of player. Also featured on: - Microsoft Store: https://ift.tt/zRWnIj5 - Wayback Machine: https://ift.tt/WsJhRyK.... Feedback is highly welcome, and source is available at: https://ift.tt/2KbFSg6 https://kherrick.github.io/sprite-garden/ October 12, 2025 at 03:15AM
Show HN: Multiple choice video webgame experiment Hey all, just wanted to share a little game experiment. It's a rooms & keys kind of adventure with a lot of random deaths. It plays a Veo3-generated video in response to clicks, with Gemini used for coding. Prompting the videos was fun, but trying to vibe code everything was not. In the future I'll go back to using LLMs more sparingly for isolated functions, or at least try not to have it create anything that requires seeing the output to debug. https://ift.tt/EwDdjXp October 10, 2025 at 10:39PM
Show HN: Modeling the Human Body in Rust So I Can Cmd+Click Through It I started this trying to understand two things: why my Asian friends turn red after drinking, and why several friends all seemed to have migraine clusters. I was reading medical papers and textbooks, but kept getting lost jumping between topics. I thought: what if I could just Cmd+Click through this like code? What if "ALDH2 gene" was actually clickable, and took me to the variant, the phenotype, the population frequencies? So I started modeling human biology in Rust with my Ralph agent (Claude in a loop, ty ghuntley). Turns out the type system is perfect for this. Every biological entity is strongly-typed with relationships enforced at compile time. After 1 day of agent coding: - 277 Rust files, ~95k lines of code - 1,561 tests passing - 13 complete organ systems - Genetics with ancestry-specific variants - Clinical pathology models Try it: git clone https://ift.tt/bNMJ9nF cd open_human_ontology cargo run --example ide_navigation_demo Then open `examples/ide_navigation_demo.rs` and Cmd+Click through: Understanding Asian flush: AsianGeneticVariantsCatalog::get_metabolic_variants() // Click through to: // → ALDH2 gene on chromosome 12q24.12 // → rs671 variant (Glu504Lys) // → 40% frequency in Japanese population // → Alcohol flush reaction // → 10x esophageal cancer risk with alcohol // → Acetaldehyde metabolism pathway Understanding migraines: Migraine { subtype: WithAura, triggers: [Stress, LackOfSleep, HormonalChanges], genetic_variants: ["rs2075968", "rs1835740"], ... } // Click through to: // → 17 migraine trigger types // → 12 aura symptom types // → Genetic risk factors // → Why clusters happen (HormonalChanges → Menstruation) Now I can actually navigate the connections instead of flipping through PDFs. Heart → CoronaryArtery → Plaque. VisualCortex → 200M neurons → NeuralConnection pathways. It's like Wikipedia but type-checked and with jump-to-definition. This isn't production medical software - it's a learning tool. But it's way more useful than textbooks for understanding how biological systems connect. The agent keeps expanding it. Sometimes it OOMs but that's part of the fun. Tech: Rust, nalgebra, serde, rayon, proptest I am not a dr or medical professional this is for my education you can commit to it if you want to or review and open some PR's if you find wrong information or want to add references. https://ift.tt/bNMJ9nF October 10, 2025 at 11:29PM
Show HN: Created macOS app to help you keep your distance from your screen Hey everyone, If you're anything like me, you spend a good chunk of your day (and night) on your computer. I often find that when I'm zoned in, my posture gets worse and worse and my face ends up being really close to the screen. And over a course of a workday, when I finally unplug, my eyes have a hard time focusing on things that are far away. This has become a big enough problem for me that I decided to create an app to help me keep my face far enough from the screen. Now, I could've gone with a simple notification with a timer built into it but, as with all reminder notification, they soon become noise for me and I end up just dismissing it. I needed something to actively force me to move back. Which is where FarSight comes in. It uses your camera to gauge your distance and blurs the entire screen if it detects that you are getting close enough for a certain period of time. I made it so that it won't be extremely annoying and disruptive (e.g. blurring the screen every time you cross the line) but just enough of a nuisance to be helpful. I've been using it everyday since creating it and it's definitely helped me with eye strain, double vision, and surprisingly, my posture as well. I'm not sure if I'll keep it free forever but I wanted to release it first to ask for feedback. I only have the app in MacOS so if it has enough interest, I'll invest into making Windows counterpart. https://ift.tt/pWDy20F... Also, in case anyone is wondering, no data is collected and the snapshots during the app's usage are not saved but only used to calculate the distance. October 10, 2025 at 01:57AM
Show HN: Open-source UI for running multiple coding agents Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially). After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces. I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions. So I built FleetCode! It uses git worktrees and let's you run multiple agents at once. It's made my multi agent coding workflow much easier. It's free and open source, would love some feedback! https://ift.tt/AT94uZ7 October 8, 2025 at 11:30PM
Show HN: KI Song Erstellen Kostenlos – AI Music Generator FüR Deutsche Musik Kostenloser KI-Musikgenerator für deutsche Songs. Text rein → professioneller Song in wenigen Minuten. Gebaut für Content Creator, die Copyright-freie Musik brauchen. https://ift.tt/g3Ptoxl GitHub: https://ift.tt/wEGrCAl Probiert es aus! https://ift.tt/g3Ptoxl October 8, 2025 at 10:26PM
Show HN: I built a local-first podcast app I worked on early podcast software in 2004 (iPodder/Juice) and have been a heavy podcast consumer ever since. I wanted a podcast app that respects your privacy and embraces the open web—and to explore what's possible in the browser. The result is wherever.audio, which you can try right now at the link above. How it works: It's a progressive web app that stores all your subscriptions and data locally in your browser using IndexedDB. Add it to your home screen and it feels native. Works offline with downloaded episodes. No central server storing your data—just some Cloudflare/AWS helpers to smooth out browser limitations. What makes it different: - True local-first: Your data stays on your device - Custom feeds: Add any RSS feed, not just what's in a directory - On-device search: Search across all feeds and episodes, including your custom ones - Podcasting 2.0 support: Chapters, transcripts, funding tags, and others - Auto-generated chapters: For popular shows that don't have them - AI-powered discovery: Ask questions to find shows and episodes (this feature does send queries to a 3rd party API, and also uses anonymized analytics while we work out the prompts) - Audio-guided tutorials: Interactive walkthroughs with voice guidance and visual cues The basics work well too: Standard playback features, queue management, speed controls, etc. I'm really interested in feedback—this is more passion project than business right now. I've been dogfooding it as my daily podcast app for over a year, and I'm open to exploring making it a business if people find it valuable. Curious if there are unmet needs that a privacy-focused, open web approach could address. https://wherever.audio October 8, 2025 at 10:16PM
Show HN: Rethinking audit trails in Django (structured and database-free) We were using django-easy-audit to track CRUD and API events in Django. The problem: every action meant an extra database write, which slowed transactions, increased infra costs, and left us with audit tables that weren’t great for analytics. I built django-activity-audit (PyPI) to fix this: - Extends Django’s logging system with custom AUDIT and API levels. - Captures CRUD + API request/response events as structured JSON logs. - Vector tails the logs and ships them into ClickHouse. - Grafana makes them queryable and visual. This removes the extra DB writes, gives structured data ready for analysis, and keeps costs down. Curious — how are others handling audit logging in Django (or other frameworks)? Do you log it, write it to a DB, or something else entirely? https://ift.tt/ocKCai3 October 7, 2025 at 10:25PM
Show HN: A Vectorless LLM-Native Document Index Method The word "index" originally came from how humans retrieve info: book indexes and tables of contents that guide us to the right place in documents. Computers later borrowed the term for data structures: e.g., B-trees, hash tables, and more recently, vector indexes. They are highly efficient for machines; but abstract and unnatural: not something a human, or an LLM, can understand and directly use as a reasoning aid. This creates a gap between how indexes work for computers and how they should work for models that reason like humans. PageIndex is a new step that "looks back to move forward". It revives the original, human-oriented idea of an index and adapts it for LLMs. Now the index itself (PageIndex) lives inside the LLM's context window: the model sees a hierarchical table-of-contents tree and reasons its way down to the right span, much like a person would retrieve information using a book's index. PageIndex MCP shows how this works in practice: it runs as a MCP server, exposing a document's structure directly to LLMs/Agents. This means platforms like Claude, Cursor, or any MCP-enabled agent or LLM can navigate the index themselves and reason their way through documents, not with vectors/chunking, but in a human-like, reasoning-based way. https://ift.tt/ydPw6fo October 5, 2025 at 10:09PM
Show HN: An open-source, RL-native observability framework we've been missing The RL ecosystem is maturing— verifiers are standardizing how we build and share environments. However, as it grows, we need observability tooling that actually understands RL primitives. Running RL experiments without visibility into rollout quality, reward distributions, or failure modes is a waste of time. Monitor provides live tracking, per-example inspection, and programmatic access—see what's happening during runs and debug what went wrong afterward. https://ift.tt/ZzNa4Ol October 5, 2025 at 03:05AM
Show HN: World Amazing Framework: Like Django for Civilization Any initial thoughts? This framework is meant to be a tool for construction, so if you want to play around with it for creating potential specific implementations, you can drop the contents of the website, the GitHub README, and the entire overview.md into an AI chat, and that should be enough to use the framework, at least conceptually. Would y'all want me to pre-prime a chat in Google AI Studio with the full context of the plan and some basic direction for discourse? I can share a link to a ready-to-go environment. The core documentation should answer most mechanical questions. And if you feed the docs into an AI chat, you can ask it any question you may have, or to simply ask it to explain something in different ways, or hypothesize solutions to any world issue, either systemic or regional. Gemini Pro 2.5 can take the full doc in one prompt, and its ability to co-create ideas is remarkable. I've been using it mostly through the AI Studio interface. Much of the overview is as much my work as it is a synthesis of my collaboration with Gemini Pro 2.5, ChatGPT-4o, and some early contributions from GPT-4 about a year ago. Before LLMs, I was building out pamphlet-style pages on a website (that are up at whomanatee.org, which is the base wrapper implementation of the framework), and I was planning to use them as talking points. I was anticipating that much of the deep thinking would have to happen in slow, public discourse. With LLMs, I've been able to stress-test these ideas from every possible angle, using any past event or theory to see if the framework could withstand scrutiny. At one point, a model argued that Adam Smith would have rejected this idea as fantasy. So I worked with it to develop an economic plan that "synthetic Adam" praised. It's incredible that we now have the ability to get synthesized thoughts from almost any perspective. You could ask it, "What would Barack Obama think of this plan? And using the framework, what would be your response to any hesitations he may have?" And it responds with incredible analysis, synthesis, and feedback. https://ift.tt/uXJKTbd October 5, 2025 at 03:44AM
Show HN: Run – a CLI universal code runner I built while learning Rust Hi HN — I’m learning Rust and decided to build a universal CLI for running code in many languages. The tool, Run, aims to be a single, minimal dependency utility for: running one-off snippets (from CLI flags), running files, reading and executing piped stdin, and providing language-specific REPLs that you can switch between interactively. I designed it to support both interpreted languages (Python, JS, Ruby, etc.) and compiled languages (Rust, Go, C/C++). It detects languages from flags or file extensions, can compile temporary files for compiled languages, and exposes a unified REPL experience with commands like :help, :lang, and :quit. Install: cargo install run-kit (or use the platform downloads on GitHub). Source & releases: https://ift.tt/Cn5M4Hl I used Rust while following the official learning resources and used AI to speed up development, so I expect there are bugs and rough edges. I’d love feedback on: usability and UX of the REPL, edge cases for piping input to language runtimes, security considerations (sandboxing/resource limits), packaging and cross-platform distribution. Thanks — I’ll try to answer questions and share design notes. https://ift.tt/Cn5M4Hl October 5, 2025 at 12:04AM
Show HN: Was pissed about Google Docs, So I made an Text Editor myself It’s been a while since I’ve started to write a book . The process of creation of it has not been easy , first because I’m not a writer , I’ve created well though out internet posts here and there, which ended up creating my first book. It was a good experience , but then I’ve started to think that a book that just gathered my thoughts online it’s not entirely “writing” a book , I needed more. And than I’ve opened google docs and start typing. Then I started to figure out what I wanted to write: should it be a fantasy story, a self-biography, or an observation of the world? I believe most writers have this figured out beforehand, but not me. I began writing pieces to see if they would fit together and make sense. I started gathering philosophical anecdotes based on my core beliefs and sensed something brewing. When I finally decided what the book would be about, and what I wanted to write, the type of writing I wanted to do, I saw an already sizable document with ideas scattered throughout it. That was good for me, as I could just join the pieces, but I didn’t want to be trapped in writing that could be repetitive. I wanted to have the ideas, philosophy, the whole reason why the book is like this, stored in a place I could easily access. I'm planning to use AI as a memory dump, where I can add information during a conversation. Then, whenever I consult it, I can check if I've already written something and if it reflects the temper and pace I want for my book. Everything seems fine, but we encountered a few problems. First, the AI's writing was a conundrum of errors. I could gain assistance and a sense of what to write, but the AI itself, due to our prolonged interchange, started to hallucinate and produce nonsense or "forget" our conversation. The second issue was that the AI couldn't consistently verify what was already written. As the text grew larger, the context window began to shrink, and the more I used the AI tool, the less helpful it became. So I decided to search for a tool that could do what I wanted. I found elements in each of the products I've used: some were extremely satisfying to write with, others had good features to enhance text, some allowed me to organize my book by scattering ideas effectively, and still others used AI for correction and proofreading tasks. The solutions for this market are diverse and offer numerous approaches. I could easily transition between tools, but I wanted something unified to keep my writing process in one place. That’s why I created this text editor and called it SourcePilot. It’s a tool that identifies your writing style as you write, allowing you to add notes, sources, and videos, and to use them as context for the AI, enabling more nuanced outputs tailored to your writing. It was interesting to build, and I’m providing a link you can try. It’s a desktop app, and you can use it for free, depending on the hardware you have. I’m looking for people who could give me feedback on what's wrong with it. People who could not install it (I’ve built it on Mac and could not test Linux and Windows), or have problems logging in. I keep getting loads of problems because I’m using the tool right now as I write this text. I'm planning to launch a new version soon, featuring an anti-slop algorithm I’ve developed, along with document branching. I just want to see if there are people interested in using it at the moment. If there aren't users, that's fine. I think I’ve made something for myself anyway. :) Thank you for your attention if you made it this far. You’re greatly appreciated. Cheers! https://sourcepilot.co/ October 4, 2025 at 01:28AM
Show HN: A VS Code Extension for Genesis DB – The event sourcing database I've been working on an extension that brings the full Genesis DB experience directly into Visual Studio Code. Genesis DB itself is a production-ready event-sourcing database engine, and with this extension you can now: - Manage multiple connections (dev, staging, prod) with token-based authentication - Explore events via a built-in Event Explorer UI - Commit new events, run GDBQL queries, and instantly view results - Manage schemas (register, browse, validate) directly in the editor - Use built-in GDPR features like event erasure, without leaving VS Code The goal: no more context switching between CLI, APIs, and docs, everything integrated into the editor you already use. You can check out the extension here: https://marketplace.visualstudio.com/items?itemName=patricec... I'd love to hear what you think: Is this something that would help your workflow? What would you expect from a database extension in VS Code? https://ift.tt/WuwFljX October 4, 2025 at 01:12AM
Show HN: FLE v0.3 – Claude Code Plays Factorio We're excited to release v0.3.0 of the Factorio Learning Environment (FLE), an open-source environment for evaluating AI agents on long-horizon planning, spatial reasoning, and automation tasks. == What is FLE? == FLE uses the game Factorio to test whether AI can handle complex, open-ended engineering challenges. Agents write Python code to build automated factories, progressing from simple resource extraction (~30 units/min) to sophisticated production chains (millions of units/sec). == What's new in 0.3.0 == - Headless scaling: No longer needs the game client, enabling massive parallelization! - OpenAI Gym compatibility: Standard interface for RL research - Claude Code integration: We're livestreaming Claude playing Factorio [on Twitch]( https://ift.tt/57bl2Js ) - Better tooling and SDK: 1-line CLI commands to run evaluations (with W&B logging) == Key findings == We evaluated frontier models (Claude Opus 4.1, GPT-5, Gemini 2.5 Pro, Grok 4) on 24 production automation tasks of increasing complexity. Even the best models struggle: - Most models still rely on semi-manual strategies rather than true automation - Agents rarely define helper functions or abstractions, limiting their ability to scale - Error recovery remains difficult – agents often get stuck in repetitive failure loops The performance gap between models on FLE correlates more closely with real-world task benchmarks (like GDPVal) than with traditional coding/reasoning evals. == Why this matters == Unlike benchmarks based on exams that saturate quickly, Factorio's exponential complexity scaling means there's effectively no performance ceiling. The skills needed - system debugging, constraint satisfaction, logistics optimization - transfer directly to real challenges. == Try it yourself == >>> uv add factorio-learning-environment >>> uv add "factorio-learning-environment[eval]" >>> fle cluster start >>> fle eval --config configs/gym_run_config.json We're looking for researchers, engineers, and modders interested in pushing the boundaries of agent capabilities. Join our Discord if you want to contribute. We look forward to meeting you and seeing what you can build! -- FLE Team https://jackhopkins.github.io/factorio-learning-environment/versions/0.3.0.html October 4, 2025 at 01:02AM
Show HN: YNOT – Free, Open-Source YouTube Downloader Hey HN! I built YNOT, a simple cross-platform YouTube downloader with a GUI. It's powered by yt-dlp and completely free/open-source (WTFPL license). Key features: - Simple GUI - just paste URL and download - Downloads HD/4K videos - Cross-platform (Windows, macOS, Linux) - No ads, no tracking, completely private - Lightweight and fast GitHub: https://ift.tt/GQ0dIMt I'd love to hear your feedback and suggestions! https://james-see.github.io/ynot/ October 3, 2025 at 04:26AM
Show HN: Uber for Flights My friend and I built BookMyFlight to finally modernize flight search + booking. Why we built this: - Personalization. I fly the same route every month, and there’s no platform that knows my preferences so that I can open it, find and book my flight, and close it within a minute. - Booking is slow. I hate seeing a long clunky airline form each time I need to book. I want booking a flight to feel more like booking an Uber. How it works: 1. Optionally make an account and save your traveler preferences. Personally, I've specified my routine route as SFO to CLE and that I only want red-eye direct flights for this route. 2. Search for flights using chat or the search panel. Chat feels especially time-saving when you have preferences saved (e.g. I just say “search my routine trip"). 3. Once you find the flight you want, use the one-click book feature which books your flight directly with the airline. The first time you book a flight, you’ll have to fill out your traveler info, but you won't see that form after that. Notes: - Your booking is directly with the airline (this means when something goes wrong, you get direct support from the airline—not a third-party) - You can add your rewards numbers for each airline to keep earning points/status The ultimate goal is to create the best possible experience that every traveler wants, but that OTAs and airlines don’t care to create. Also very receptive to hearing pain points from frequent flyers; we think this space is really outdated and could use some innovation. Try it out and let us know what you think :) https://bookmyflight.ai October 3, 2025 at 01:29AM
Show HN: Enhance – A Terminal UI for GitHub Actions I'm very excited to share what I've been working on lately! Introducing ENHANCE, a terminal UI for GitHub Actions that lets you easily see and interact with your PRs checks. It's available under a sponsorware model. Get more info on the site: -> https://ift.tt/HifE4ML This is an attempt to make my OSS development something sustainable. Happy to hear feedback about the model as well as the tool! Cheers! https://ift.tt/QCLftBe October 3, 2025 at 12:49AM
Show HN: Ubiquiti-themed memory game (fan-made, non-commercial) I built a small browser game in the style of memory/pexeso using images of Ubiquiti products. It's fan-made and non-commercial (I used to work at Ubiquiti) and made for my son to have fun. All product names and logos are trademarks of their respective owners. Would love feedback on UI/UX and performance tweaks. https://ui-game.com/ October 2, 2025 at 11:19PM
Show HN: Rostra is a P2P (f2f) social network A public instance is available at https://rostra.me/ . It will default to showing the interface from the perspective of my own identity, in a read-only mode. Click "Logout" and then "Random" to generate your own identity to play with. https://app.radicle.xyz/nodes/radicle.dpc.pw/rad%3AzzK566qFsZnXomX2juRjxj9K1LuF October 2, 2025 at 03:40AM
Show HN: Spit Notes – A songwriting app that keeps lyrics and audio together Any songwriter who uses the iOS Notes app to write their lyrics has a mess of New Recording 142 voice memos in their Voice Memos app. I made Spit Notes as basically the Notes app but with a built-in voice recorder that keeps your audio files neatly organized on the same line as your lyrics. Now you can quickly capture your song ideas while driving or when you wake up in the middle of the night without worrying about losing them in your pile of untitled voice memos. While you can attach audio to notes with other apps, adding and recording audio has a lot of friction, and often the layout of the audio elements in those apps are too pronounced to keep the text flowing seamlessly. This is not the case with Spit Notes. I've wanted this app to exist for years but I put off making it myself because I knew it would take me a lot of time to build manually without knowing Swift. In recent years I've been writing AI-assisted code, but with AI coding agents getting better and better, 3 months ago I decided to see if I could vibe code a full product. The code for this project was not AI-assisted, but human-assisted, with me providing the vision and feel of the app, while the AI agent takes that, makes a pass at the code base, and then I QA it, letting the AI know what worked/didn't work, and iterating. I started with paying for Cursor and using Opus 4 but after getting insanely good initial results with Opus 4 and seeing my cursor costs start to rise, I remembered this post https://ift.tt/ZPExvW3 and took the plunge with Claude Code max $200 plan. This turned out to be an incredible value because it allowed me to use claude basically without limit. However, Gemini still had the biggest context window and as the project grew I had to use Gemini to create plans for big features and find deep bugs across all of the AI-generated modules. Pro tip: create broad reference files for you and the AI, like an ARCHITECTURE.md where you keep a human-readable version of the technical big picture. You can then reference that for the AI so it stays aligned with your current progression. Once the Codex CLI became available on homebrew it was a wrap. I cancelled my claude code max plan and have been happily coding without ever hitting any rate limits (other than when they made that update that accidentally reduced rate limits instead of increase them). Today, I pay for for chatgpt plus and gemini $20 plan and am able to clear most obstacles on the first or second prompt. I haven't tried opus 4.5 but since I am not really getting stuck with codex, for now I'll stick with that. https://ift.tt/FvufGDb October 1, 2025 at 10:12PM
Show HN: I got tired of spreadsheets, so I built a Python GUI to track invoices Hey HN, As a freelancer, I found myself spending time every month manually opening PDF and Word invoices, copying the details into a spreadsheet, and tracking payments. It was tedious and error-prone. I decided to build a simple desktop app to automate this. It's a GUI built with Python and Tkinter that points to a folder of invoices, parses the key details (invoice #, amount, date), and stores everything in a local SQLite database for tracking and analysis. It's been quite a time- and headache-saver for me. A Note on Simplicity & Caveats I'm sharing this in case it's useful to any other freelancers or businesses, but I want to be upfront about its limitations: The UI is very basic. It's built with vanilla Tkinter and is all about function over form. It's not the prettiest app, but it gets the job done. The core automation relies on a "patterns" feature that matches invoice prefixes to clients. This is super useful for my own workflow but might be a bit niche if your invoice naming is less consistent. You can still use manual entry if patterns don't work for you. The stats dashboard is Euro-centric right now and aggregates all currencies into a total shown in Euros (€). I plan to fix this later. It's a simple personal project that solves a personal problem. The code is on GitHub, and I'd love to hear any feedback or suggestions you might have. https://ift.tt/RnMdjob September 30, 2025 at 08:33PM
Show HN: Resrap – A Parser but in Reverse I built Resrap, a Go package that takes a grammar in ABNF format and generates infinitely long sequences of syntactically correct code...either completely randomly or with seeds for a deterministic generation. ABNF is a modified version of EBNF( https://ift.tt/UzcK0VA... ) I made for this project, basically means you can specify when generating code 20% of lines will be if{} blocks and 50% will be while{} blocks which allows for more natural code generation, plus support for infinite generation of code. It’s very fast...it generated ~40 million tokens of C syntax in about 26 seconds on my laptop and supports multithreading which actually saw boosts in performance since its very easy to parallelize. I originally made this for a typing-test project (I didn’t want to store code snippets manually), but it turned out to be useful in other contexts too, like: - Stress-testing parsers and linters - Creating non-copyrighted “lorem ipsum” code for tech demos - Generating those endless “hacker” code scenes you see in movies Curious what other cool things people might do with it! Github: https://ift.tt/8AMtNGu Website: https://ift.tt/bWg5tBM https://ift.tt/bWg5tBM September 30, 2025 at 12:20AM
Show HN: Agentsmd – Local preferences and templates for AGENTS.md Hi HN I built agentsmd for developers who use AGENTS.md but want a way to manage personal preferences and reusable templates on top of the canonical repo version. For example, I don’t want my agents to run npm run dev for Next.js. Another developer might want that step included. Those kinds of preferences should live in my local .agentsmd, not in the shared AGENTS.md. The standard only defines looking at AGENTS.md files, which are git-tracked, so this tool helps get around the problem. Ideally, the AGENTS.md standard should also look at local .agentsmd files to account for local preferences. I've already opened an issue: https://ift.tt/diUq2fv I’d love feedback on: - How you separate personal vs. shared guidance in your projects - Whether templates like this would help in your workflow - What other features would make managing AGENTS.md easier Thanks for checking it out! https://ift.tt/3TVJDl8 September 30, 2025 at 02:00AM
Show HN: Free developer-first OneNote alternative Hey Everyone, been working on a note-taking app called janta (Just Another Note Taking App) the past few months. You can try it out at app.janta.dev (you will be redirected to app.janta.dev/canvas/temporary, which is the locally-stored whiteboard you can access) I felt limited with OneNote, Excalidraw, and other infinite-canvas style apps, so I built an alternative. You have access to code-editors, Desmos graphs, and rich text editors (SlateJS). This is because the canvas is designed in a way that allows web components to exist on the same layer as pen-strokes, so you can annotate code, circle points-of-inflection, and programmatically generate graphs using matplotlib.pyplot! This is a beta release, and feedback would be awesome! https://app.janta.dev September 29, 2025 at 07:34AM
Show HN: Automatically set real iOS alarms for calendar events I kept missing appointments and meetings because calendar notifications are too easy to ignore. Alarms, on the other hand, always break through silent mode/DND and force you to acknowledge them — but setting them manually every day was another chore. With iOS 26’s new AlarmKit, I built Beacon: it automatically syncs with your Apple Calendar and converts important events into real iOS alarms. You can define simple rules (like “only events with ‘Interview’ in the title” or “meetings with 3+ attendees”), and Beacon sets the alarms for you — no extra work required. Would love feedback! https://ift.tt/0byC6RY September 29, 2025 at 06:41AM
Show HN: Lizard Button Clicker Game The Lizard Button Clicker is the most authentic recreation of the viral Lizard Button meme. This addictive clicking game features the original Lizard Button sounds and mechanics, allowing you to experience the hypnotic Lizard Button phenomenon while tracking your clicks per second and earning points. https://ift.tt/ftAl9Y0 September 28, 2025 at 09:08AM
Show HN: Blognerd – search posts, blogs and export OPML I indexed a lot of blogs and posts for another project so thought I'd put together a way to make them searchable and surf-able. Some things you can do with blognerd - search blogs and posts - surf blogs that are similar to other blogs - find posts similar to other posts - export RSS feeds as OPML, CSV It's rough around the edges and sometimes a bit janky, but would love feedback / ideas to make it (more) useful! Thanks! https://blognerd.app September 27, 2025 at 10:46PM
Show HN: A web version of Pips game (NYT domino game) Hi everyone, I’m an indie developer learning Next.js and a big fan of the NYT game Pips. Inspired by it, I built https://pipsgamer.com — a responsive web version of Pips with smooth gameplay on both desktop and mobile. What makes this project different from NYT’s version is that you can play it infinitely under three difficulty levels: Easy / Medium / Hard. This is the first time I’ve built a game. Along the way I ran into many difficulties: implementing the game logic, configuring the UI, matching layouts for small and large screens, etc. I spent many lonely nights and sometimes even doubted whether I could complete the whole project. After 24 days of persistent effort, the project is finally finished. No signup required — just go and play. If you try it out I’d really appreciate your feedback: what you like, what bugs you see, what could be improved. Thanks! https://pipsgamer.com September 27, 2025 at 06:53AM
Show HN: Family Chess: Play across firewalls and Internet cultures Hi HN! I built a simple chess game so that my son in Singapore can play chess with his grandfather in China. Why? There is currently no service or open source software that has all of the following: * All processing and assets on a single server (Critical to workaround a firewall) * No email account required (Chinese Internet services typically login via WeChat) * Works on Android browser * Simple to install and config I built it, together with Claude Code, using simple and boring technologies (Django + Client-side JS). I hope that when you use it, you will find it simple to understand (everything is done server-side), deploy, play, and maybe even hack. :) Live demo: https://ift.tt/rbzR2dy (Please be gentle, it's a tiny 2GB VPS!) https://ift.tt/X1kN983 September 27, 2025 at 04:54AM
Show HN: Font Tester – Preview fonts on custom content I've been looking for new fonts to use for a new project, but there weren't any great tools for seeing how a particular serif font for headers would look with another sans font for paragraph text, so I built a tool that lets you compare, adjust, and tinker with the way you'd use a font in your specific project before downloading it/setting it up. This is only using the free Google fonts for now. If there are other open-source fonts I should add, let me know and I'll add them! https://fonts.tomhadley.link/ September 27, 2025 at 12:39AM
Show HN: Aqtos – business OS for SMBs and teams Small businesses use 10+ apps to run their operations. CRM, project management, invoicing, team chat, reporting - all disconnected. Besides this, they don't have any system in place. That's why we offer much more than a SaaS PM tool, a business OS. Built specifically for 5-150 person teams (not enterprise bloat) Plug n play setup Priced like a single tool, replaces 5-7 Try it: aqtos.com Questions? Happy to answer anything about the tech stack, business model, or SMB pain points we're solving -> https://ift.tt/vuFhZSy https://aqtos.com/ September 25, 2025 at 08:47PM
Show HN: Phishcan, Canada's first open and free threat intelligence platform Phishcan provides crucial threat intelligence, and it currently tracks phishing domains for: • Scotiabank, Desjardins, RBC, Interac… • Telecom providers, provincial power and health services... • Federal & provincial services, CRA, Canada Post, Service Canada, Revenue Québec... How Phishcan works: • Parsing millions of domains: Continuously scanning and analyzing vast numbers of domains to detect suspicious patterns and potential phishing sites. • Monitoring threat actors : close watch on cyber‑criminal infrastructures and their new domain registrations. • Data enrichment : adding contextual insights and connections to improve the information • Feeds are updated every 12 hours. • You can use the API freely at: https://ift.tt/nDFpgmY Data is also available on: https://ift.tt/DdZlfL6 I plan to improve the whole platform with more data during my free time! https://phishcan.com/ September 25, 2025 at 04:58PM
Show HN: Dayflow – A git log for your day Hi HN! I've been building Dayflow, a macOS app that automatically tracks what you're actually working on (not just which apps you have open). Here's what it does: - It creates a semantic timeline of your day; - It does it by understanding the content on your screen (with local or cloud VLMs); - This allows you to see exactly where your time went without any manual logging. Traditional time trackers tell you "3 hours in Chrome" which is not very helpful. Dayflow actually understands if you're reading documentation, debugging code, or scrolling HN. Instead of "Chrome: 3 hours", you get "Reviewed PR comments: 45min", "Read HN thread about Rust: 20min", "Debugged auth flow: 1.5hr". I was an early Rewind user but rarely used the retrieval feature. I built Dayflow because I saw other interesting uses for screen data. I find that it helps me stay on track while working - I check it every few hours and make sure I’m spending my time the way I intended - if I’m not, I try to course correct. Here’s what you need to know about privacy: - Run 100% locally using qwen2.5-vl-3b (~4GB model) - No cloud uploads, no account - Full source available under MIT license ( https://ift.tt/FvPUh4y ) - Optional: BYO Gemini API key for better quality (stored in Keychain, with free-tier workaround to prevent training on your data) The tech stack is pretty simple, SwiftUI with a local sqlite DB. Uses native macOS apis for efficient screen captures. Since most people who run LLMs locally already have their tool of choice (Ollama, LLMStudio, etc.), I decided to not embed an LLM into Dayflow. By far the biggest challenge was adapting from SOTA vision models like Gemini 2.5 Pro to small, local models. My constraints were that it had to take up <4GB of ram and have vision capabilities. I had to do a lot of evals to figure out that Qwen2.5VL-3B was the best balance of size and quality, but there was still a sizable tradeoff in quality that I had to accept. I also got creative with sampling rates and prompt chunking to deal with the 100x smaller context window. Processing a 15 minute segment takes ~32 local LLM calls vs 2 Gemini calls! Here’s what I’m working on next: Distillation: Using Gemini's high-quality outputs as training data to teach a local model the patterns it needs, hopefully closing the quality gap. Custom dashboards where you can track answers to any question like "How long did I spend on HN?" or "Hours until my first deep work session of the day I'd love to hear your thoughts, especially if you've struggled with productivity tracking or have ideas for what you'd want from a tool like this. https://github.com/JerryZLiu/Dayflow September 24, 2025 at 08:23PM
Show HN: Inferencer – Run and deeply control local AI models (macOS release) Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms. Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ Would love to hear any feedback or feature requests from the community. https://inferencer.com/ September 24, 2025 at 11:26AM
Show HN:[Feedback Request] Chrome extension for structured learning with ChatGPT hey everyone, This is a demo of a chrome extension(it's currently under review) which allows anyone to create structured step-by-step learning plan for any goal and time commitment. Once a learning plan has been created, you can follow the step by step instruction, by clicking on the task within the extension, which will automatically inject a prompt in chatgpt to generate learning materials. The tool provides: 1. Structured learning plan creation. 2. Progress tracking 3. Creates and injects prompt in ChatGPT for generating learning materials for each step. I would like feedback on whether this sort of an extension would be useful for your day to day learning. I launched a web app for this a couple of weeks back: https://ift.tt/q2tLkY9 The extension has been submitted to Google for review, but if anyone is interested to try, here is the extension source code: https://ift.tt/T1x3u0t https://www.youtube.com/watch?v=YvL65pdc16U September 24, 2025 at 06:09AM
Show HN: BX Live Server – VS Code live reload with embedded preview Hello HN, a quick share from my weekend project. TBX Live Server is an extension that bakes a browser-like webview right into VS Code, keeps multiple servers in sync, and reloads on the fly. Developers can run parallel environments, toggle ports per workspace, and stay in the editor while testing. In the last 24 hours it picked up 19 new downloads and 2 stars, so early adopters seem to be finding it useful. Repo: https://ift.tt/CTkrJey Marketplace install: https://marketplace.visualstudio.com/items?itemName=Thinkbac... Happy to answer questions or hear what workflows you’d like to see supported next. https://marketplace.visualstudio.com/items?itemName=Thinkback.tbx-live-server September 24, 2025 at 04:48AM
Show HN: Inflow – invoke an LLM with your viewport just by typing Hey HN, I built this simple tool for fun over the weekend after getting tired of breaking my flow to copy and paste what I was reading in a Claude tab. My goal was to make the process as frictionless as possible so you don't expend cognitive load thinking about the tool. To that end, there are no hotkeys or buttons to initiate the chat widget, the extension just detects natural language as you type and populates the widget after a threshold. The LLM gets the text content in your current viewport as context. https://ift.tt/GDLB0pX September 24, 2025 at 01:05AM
Show HN: Zenode – an AI-powered electronic component search engine TL;DR - My cofounder Collin and I built an AI version of Digi-Key to help PCB designers find and use parts, except with a way bigger catalog, modern refinement tools, and an AI that can actually read the damn datasheets for you. *The problem* Modern circuit board design is filled with absurdly tedious tasks, where one small mistake can brick a project and cost thousands. The worst (in our opinion) is reading datasheets, which eats up to 25% of the first part of any project: 1. First, you slog through catalogs to find viable parts, using search tools that are still stuck in the dark ages. There are ~80M unique components in today’s supply chain, yet the tools we have to look through them are just digitized versions of the same paper catalogs our grandparents got in the mail. 2. During the design, you spend a ton of time flipping between different 10-100-page PDFs for every component in every subcircuit, hoping like hell you don’t miss some tiny spec in a footnote somewhere that kills your design. 3. And god help you when the requirements inevitably change and now you have to figure out what subsystems are affected! *What we built* Zenode is an AI-powered electronics search engine that actually helps engineers find and understand components. Our core features: 1. Largest and Deepest Part Catalog → We have merged dozens of existing part catalogs and documents from major distributors and manufacturers 2. Discovery Search → natural language queries to quickly find categories, set filters, and rank results 3. Modern Parametric Filters → rebuilt from scratch to move off the string values pervasive in industry and build numeric ranges that actually work. 4. Interactive Documents → AI constrained to a single part’s datasheet/manuals. Ask a question, get the answer with a highlighted source for quick reference. 5. Deep Dive → search across dozens of parts simultaneously (“what’s the lowest-power accelerometer available?”) instead of slogging one by one. *What we learned* 1. By far the hardest part of the last 2 years has been wrangling 3 TB of messy, inconsistent data into something usable. We had to teach the AI how to handle hand-drawn figures, normalize different unit variables and names that mean the same thing, and navigate conflicting information present between different datasheet versions of the same part. It’s been a nightmare 2. We originally built custom PDF parsers and AI extractors, which were best in class for ~3 months until generalized AI passed them. So we stopped reinventing wheels and doubled down on data quality instead. 3. The killer feature wasn’t the AI searching a single part, but what we heard repeatedly from users is that they want the AI to read across multiple parts, hence why we’ve launched deep dive! *Where it’s strong* - Speed: rips through a 1,000-page microcontroller datasheet in seconds. - Breadth: 40M+ part sources unified into one catalog, and more than just datasheets, application notes, errata, etc. - Comparisons: Deep Dive lets you ask across multiple parts, not just one at a time. *Where it’s not* - Pricing/availability: currently outdated (for now we expect folks to check existing aggregators like Octopart). - Accuracy: good enough to match my mediocre skills; not yet at Collin's level, but we're starting tuning and this will improve rapidly! *Try it* It’s live today (zenode.ai). Sign up for a free account and If you put “Hacker News” in during signup in the “where did you hear about us” field, we’ll give you 1,000 bonus credits (once we finish building that, so sometime this week ). *Feedback we’d love* 1. Should Deep Dive results auto-become filters you can refine further? 2. Do you want the ability to mark preferred parts / exclude others? 3. Is “Deep Dive on a BOM” (alt discovery + manufacturability checks on a list of known components from different categories) the killer feature? https://zenode.ai/ September 22, 2025 at 08:27PM
Show HN: Chat with Any YouTube Video I built a Chrome extension that lets you chat with the transcript of any YouTube video. Instead of sitting through like a 2 hour video, you can just ask a question and get an instant answer. The Problem: I built it mainly for myself: I often watch long-form videos like lectures or tutorials on YouTube, and I want a fast way to extract the information I need without scrubbing through timestamps or rewatching sections. For example, I recently used it with a 3.5-hour lecture and got the exact answers to my questions in seconds. Another example is that nowadays YouTubers often create videos around one or two key ideas, and I can now figure out whether a video is worth watching by asking what those key ideas are in advance. How it works: 1. The extension gets the video transcript. 2. An AI model summarises it, and makes the content ready for chat 3. You can switch between chat mode and auto-generated summaries depending on how deep you want to go. What’s different: 1. It’s not just a summarizer: you can interact with the content in real time and ask follow-up questions 2. It saves a huge amount of time if you’re studying or just watching a long video and curious about a specific part of it. Feedback: If you find it useful, I’d really appreciate your feedback on your experience with it and what you’d improve. Thanks! https://ift.tt/2EsTW41 September 22, 2025 at 11:11PM
Show HN: Gocd – a lightweight Go-based CI/CD tool that runs on your dev machine I built a small project called gocd because I wanted an easy way to deploy changes from GitHub pull requests without spinning up a full CI/CD stack. The idea is simple: instead of setting up runners, servers, or cloud infrastructure, you can just run it on your laptop (or a small server). It integrates with GitHub issues and PRs, automates builds and deploys, and makes it easy to access the running app remotely (e.g. over something like Tailscale). For me, this solved the problem of quickly testing and deploying code from issues/PRs in a lightweight way. Existing CI/CD systems felt like overkill for that use case. Repo: https://ift.tt/lS5BD8n I’d love feedback from the community — especially on whether this minimal approach to CI/CD is something others would find useful, and what features you’d expect in a tool like this. https://ift.tt/lS5BD8n September 22, 2025 at 02:51AM
Show HN: The Atlas – I Built a 3D Universe Simulation with Python and Three.js Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for weeks, restart, and planets have still been orbiting. Open the same world on multiple devices and you’ll see identical cloud formations, lava flows, even particle effects—always perfectly synchronized (if your clocks are synced). The simulation applies real physics, Kepler’s laws, tidal locking, Roche limits, hydrostatic relaxation for moons, and orbital temperature variations. Scale is mind-boggling, 300 tredecillion potential planets, far beyond anything that could ever be explored. The backend runs on Python/Flask with Hypercorn, the frontend on React + Three.js, connected via a custom MIT-licensed “vite-fusion” plugin we made. Everything is generated in real time, no storage needed. The Atlas includes 26+ planet types, fictional elements, moons evolving over geological timescales, and rare life forms that display Arecibo-style messages when analyzed. There’s resource mining and spaceship progression as gamification features. At its core, it’s a playable implementation of Einstein’s block universe theory, all moments exist simultaneously in the mathematical structure, you’re just moving through different temporal slices. You can try the live demo or run your own universe locally. When installed, you can choose between Core Continuum (a shared seed universe evolving since 1986, my birth year) or Design the Multiverse (your own unique cosmos with a fresh seed). I’d love feedback on the procedural generation algorithms and ideas for expanding the physics simulation! - GitHub: https://ift.tt/QuY8BOE - Docker: bansheetech/atlas:latest - Demo: https://the-atlas.koyeb.app - Alt Demo: https://ift.tt/K9FYA8C Thanks for reading this far! <3 https://github.com/SurceBeats/Atlas September 21, 2025 at 09:26PM
Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots I built WAFlow to prototype WhatsApp-style chatbots locally with plain webhooks. Repo: https://ift.tt/fqZEFyu Docker up → chat in browser → simulator posts a webhook to your bot → bot replies via API → export/import transcripts. Stack: .NET 8 + Blazor. MVP: Polling UI, single user, text-only. Would love feedback on what’s missing for your workflow. September 21, 2025 at 01:10AM
Show HN: OS layer for running multiple Codex agents in parallel We built an open source layer to orchestrate multiple Codex agents in parallel. Found myself and some friends running Codex agents across multiple terminals. Thats why me and a friend built emdash. Each agent gets its own isolated workspace, making it easy to see who’s working, who’s stuck, and what’s changed. https://ift.tt/Cu63is2 September 20, 2025 at 01:12AM
Show HN: RustNet, a network monitoring TUI with process identification Hi HN! I built RustNet, a Terminal UI based network monitor written in Rust that shows real-time connections with process identification and protocol detection. What may make it interesting: • Deep packet inspection for HTTP, HTTPS/TLS (with SNI), DNS, and QUIC protocol detection • Process identification using eBPF on Linux (experimental) and PKTAP on macOS which does also catch short-lived processes that polling procfs or lsof would miss • Multi-threaded packet processing with lock-free data structures for the UI • Cross-platform (Linux, macOS, Windows but process identification so far only on Linux/macOS) The eBPF implementation was a bit more tricky to implement than using PKTAP, but it was very interesting to learn about how to hook into tcp_connect, udp_sendmsg, etc. in order to catch process info before connections disappear. I built this as a lightweight Wireshark alternative for quick TUI based network inspection with process identification. Install: cargo build --release, run with sudo or set capabilities. Homebrew tap also available. Would love feedback on the project and any ideas for additional protocol detection or any other suggestions. Thanks https://ift.tt/3ajnF5t September 19, 2025 at 09:51PM
Show HN: Continuum Game (68k Mac) Ported to JavaScript This was an interesting porting project for a few reasons (IMO): - The original game is/was awesome and, from a programming perspective, a wonder -- smooth scrolling arcade game on a 128kb Mac in 1984... - The port was done with a lot of help from AI (mostly Claude Code, but some Gemini CLI as well). I'm a programmer; it wasn't vibe-coded. But I couldn't have done the port of 68k assembly without it. FWIW, Claude seemed better at actually porting the 68k assembly but Gemini was better at finding bugs. YMMV. - I love Redux and Redux Toolkit for state management. For the port, I put the entire game state in Redux, including all the physics, movement, etc. Every thing that happens in the game is a little redux action. You can watch the whole game get played in the RTK debugger. For some reason that makes me happy. I've released all my code as MIT. Would love to make a "modern" version some day, but for now I've just tried to be faithful to the original. There are a few bugs, noted as issues in the github repo. Feel free to add more. https://continuumjs.com September 18, 2025 at 11:21PM
Show HN: SandBox – AI agents simulating possible futures Hi HN, I’ve been working on SandBox, a project that lets you explore possible futures using autonomous AI agents. You can build scenarios (environmental, social, governance, etc.), make decisions, and see how things might unfold under different paths. Some of the things you can do: Generate speculative news and events under your scenario settings Visualize how small decisions ripple over time Run multiple agent-based simulations in parallel Built with Python, LangGraph + Azure OpenAI, plus a front-end for visualization. Still in active development; feedback, critiques, ideas & contributions are very welcome. Live demo: https://sandboxes.live/ Github: https://ift.tt/FqeQrv4 If you like it, a helps me know this is worth pushing further. Thanks! https://ift.tt/FqeQrv4 September 18, 2025 at 10:37PM
Show HN: One prompt generates an app with its own database Hey HN, manyminiapps is the world first massively multiplayer online mini app builder (MMOMA) *Here’s what it does:* You load the page. You write 1 prompt and you get a mini app back in under 2 minutes. There’s no sign up, and you can see what everyone’s creating in real-time! Each mini app comes with it’s own database and backend, so you can build shareable apps that save data. *What’s different* There are a lot of app builders that promise you’ll build production software for others. But we think true production software can take a long time to get right. Even if you don’t need to program there’s a lot of work involved. What if we turned the promise around? Instead of “you vibe code software companies”, it’s “you build fun software for yourself”. If you cut the problem right, LLMs as they are today can already deliver personal software. manyminiapps is meant to be an experiment to demonstrate this. You may wonder: do you really need personal software? We’re not 100% sure, but it’s definitely an interesting question. Using manyminiapps so far has been surprising! We thought our friends would just try to build the common todo app, but instead we found them building wedding planners, chord progression helpers, inspiration lists, and retro games. *How it works* Instead of spinning up VMs or separate instances per app, we built a multi-tenant graph database on top of 1 large Postgres instance. All databases live under 1 table, on an EAV table (entity, attribute, value). This makes it so creating an “app” is as light as creating a new row. If you have heard of EAV tables before, you may know that most Postgres experts will tell you not to use them. Postgres needs to know statistics in order to make efficient query plans. But when you use EAV tables, Postgres can no longer get good statistics. This is usually a bad idea. But we thought it was worth solving to get a multi-tenant relational database. To solve this problem we started saving our own statistics in a custom table. We use count-min sketches to keep stats about each app’s columns. When a user writes a query, we figure out the indexes to use and get pg_hint_plan to tell Postgres what to do. *What we’ve learned so far* We’ve tried both GPT 5, Claude Opus, and Claude Sonnet for LLM providers. GPT 5 followed the instructions the best amongst the models. Even if you told it a completely nonsensical prompt (like “absda”, it would follow the system prompt and make an app for you. But GPT 5 was also the “most lazy”. The apps that came out tended to feel too simple, with little UI detail. Both Claude Opus and Sonnet were less good at following instructions. Even when we told them to return just the code, they wanted to returned markdown blocks. But, after parsing through those blocks, the resulting apps felt much better. To our surprise, we didn’t notice a difference in quality from Opus and Sonnet. Both models did well, with perhaps Sonnet following instructions more closely. To get good results we iterated on prompts. We initially tried giving point-by-point instructions, but found that a prompt with a full example tended to do better. Here’s what we landed on: https://gist.github.com/stopachka/a6b07e1e6daeb85fa7c9555d8f... Let us know what you think, and hope you have fun : ) https://ift.tt/J9cgx73 September 18, 2025 at 09:56PM
Show HN: Web-based 2D geometry calculator I often find myself trying to solve a geometry problem where the constraints are really simple to understand, but solving it algebraic is really hard and tedious. I built this whole thing from scratch with Claude Code. It's my first time trying it and I literally did not write a single line of code... That said, it still would be hard build this as a novice. I had to guide things along the happy path, but it saved me a ton of time! The code is open source! Let me know if you run into any issues. https://ccorcos.github.io/geocalc/ September 17, 2025 at 10:18PM
Show HN: Quizquestions.org – A free library for quiz questions Hey HN! I'm Salim, a content marketer, and I’m working on a website called [quizquestions.org]( https://ift.tt/dg19xaQ ). It's my project for building the biggest library of quiz questions. This is not a quiz website per se, but a library for people who make quizzes. You see, I make quizzes occasionally. There are many quiz makers, but not many resources for quizzes. And most of the resources are just blogs. So I've wanted to create a more structured website just for this. Here’s what the site offers at the moment: - A quiz card: Instead of browsing them, you can get quiz questions in a quiz format - Quiz categories: https://ift.tt/NjwQZWv - AI question generator: https://ift.tt/AkZlCBs - A blog page for guides: https://ift.tt/biyKxJO - Saving questions: To use them later for creating a quiz - Sending questions: To send your own questions - Statistics about categories: https://ift.tt/eHaJUC6 This is my first website, so any feedback is welcome! https://ift.tt/H8wGLoQ September 16, 2025 at 11:53PM
Show HN: AI Code Detector – detect AI-generated code with 95% accuracy Hey HN, I’m Henry, cofounder and CTO at Span ( https://span.app/ ). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how to drive proficiency, improve ROI, and allocate resources relating to AI tools will become at least as important as parallel processes on the talent side. Getting true visibility into AI-generated code is incredibly difficult. And yet it’s the number one thing customers ask us for. So we built a new approach from the ground up. Our AI Code Detector is powered by span-detect-1, a state-of-the-art model trained on millions of AI- and human-written code samples. It detects AI-generated code with 95% accuracy, and ties it to specific lines shipped into production. Within the Span platform, it’ll give teams a clear view into AI’s real impact on velocity, quality, and ROI. It does have some limitations. Most notably, it only works for TypeScript and Python code. We are adding support for more languages: Java, Ruby, and C# are next. Its accuracy is around 95% today, and we’re working on improving that, too. If you’d like to take it for a spin, you can run a code snippet here ( https://ift.tt/iTsfdjl ) and get results in about five seconds. We also have a more narrative-driven microsite ( https://ift.tt/UPp3sTS ) that my marketing team says I have to share. Would love your thoughts, both on the tool itself and your own experiences. I’ll be hanging out in the comments to answer questions, too. https://ift.tt/iTsfdjl September 16, 2025 at 11:48PM
Show HN: Datadef.io – Canvas for data lineage and metadata management Hi HN, I’ve been working on https://datadef.io , a tool to help data team (engineer, architect, project manager) make sense of their data universe. The problem: - Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast). Datadef.io aims to fix that by providing: - Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table/column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export/share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs. It’s still early, and I’d love feedback from the HN community. In particular: What’s missing for you in lineage/metadata/documentation tools? How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)? I’d really appreciate your thoughts, feature requests, and criticism. Thanks! https://datadef.io/ September 14, 2025 at 11:59PM
Show HN: Allzonefiles.io – download 307M registered domain names - 307M registered domain names across 1570 domain zones total (.com, .net, .io, .ai, .sh, etc) - 78M registered domain names across 312 ccTLD domain zones (.uk, .de, .io, .ai, .sh, etc) - daily lists of newly registered domain names - daily lists of expired domain names - download all domain lists as one huge .zip file (1.2 Gb size) https://allzonefiles.io September 16, 2025 at 12:12AM
Show HN: AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://ift.tt/XS9pxiO ) https://ift.tt/4qtBJvZ... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers - MCP servers (Brave search, GitHub, filesystem, etc.) as tools - A2A communication between services - Minimal UI for experimentation for Tech Trend - repo analysis I built this repo because most agent frameworks look great in isolated demos, but fall apart when you try to glue agents together into a real application. My goal was to help people experiment with these patterns and move closer to real-world use cases. It’s not production-grade, but would love feedback, criticism, or war stories from anyone who’s tried building actual multi-agent systems. Big questions: Do you think agent-to-agent protocols like MCP/A2A will stick? Or will the future be mostly single powerful LLMs with plugin stacks? Thanks — excited to hear what the HN crowd thinks! https://ift.tt/oLjH6cb September 15, 2025 at 02:47AM
Show HN: PaperSync, making ArXiv papers collaborative Demo: https://youtu.be/pnznDL9SZvI PaperSync was a project was made by two CS freshmen, Matthew Li (me!) and Michael Li, in 24 hours during HackCMU. At a high level, we built PaperSync to make reading research papers easier and more collaborative. Users can reference any part of the paper, ask anything they want, and have other users reply, all within the paper itself! If you are interested in our work, we would love to talk! Reach out to us at mqli@andrew.cmu.edu or mdli2@andrew.cmu.edu. https://hackcmu25.vercel.app/ September 15, 2025 at 05:19AM
Show HN: From selling AI to QA teams to building a smooth test-management app Hey HN, Bootstrapped founder here. I've got a bit of a story for you. We started desplega.ai to build a sophisticated AI platform that could automate E2E testing. We spent the last few months talking to dozens of QA leaders, and trying to learn what are their actual challenges. We've got one consistent feedback from large teams: their daily reality is a living hell of slow, clunky tools. We're talking about teams at major companies still managing tests on spreadsheets. Or they're stuck in a Jira instance so customized and slow you can “make a full pot of coffee” while a page loads (and that’s why they acquired arc! t3.gg said it first). On top of that, they're paying 2k/mo+!? for these tools that feel like they were designed in ‘05. Soon, it became obvious that our AI tool was way too advanced for them, and why it was much easier for younger startups to start using us. But we didn't want to give up on them just yet so... Because I grew up when the internet was still free, and I actually miss that a lot, we decided to create a free test management tool. Our vision is still AI, but we learned AI is not the silver bullet large teams are wishing for. (We wrote something about it at https://ift.tt/8awVeBA ). Our hypothesis right now is that we can be that team building the right tools for each QA team, leveraging AI. We would love to hear your thoughts on (a) Should we make the project open-source? Any key features? (b) Would you ever trust an entity to do your QA first pass? Cheers, https://ift.tt/aOGuc4H September 15, 2025 at 12:12AM
Show HN: council - ai groupchat of ctos (no more asking ai to roleplay) i made a council of advisors to help me code. as a self taught dev, ive been heavily reliant on ai for the past two years. found myself often prompting claude to take on different personalities, so i built a web app. it's great for the step before telling cursor what to do and reviewing prs once theyre ready. PLEASE DON"T NUKE MY APY KEY. ty https://ift.tt/DrJ0Pvf September 14, 2025 at 02:08AM
Show HN: MediaMouth – I created a comment section for movies and TV shows I tend to watch TV shows months or sometimes years after they air, and by that time, all the discussions are lost in internet oblivion. I wanted a space where I could join the conversation anytime. So I created one. MediaMouth makes it fun and easy to talk about the media you love. Conversations are organized season by season, episode by episode, so you never have to scroll through chaotic hashtags to join in. We’re looking for feedback on usability, ways to improve, and hopefully gain some new users. We’d love to hear your thoughts! You can download the iOS Beta or watch the video walk-through on our website: www.mediamouthapp.com https://ift.tt/OpohaY8 September 14, 2025 at 01:06AM
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