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 I originally made this for a typing-test project (I didn’t want to store code snippets manually), but it turned out to be useful in other contexts too, like: - Stress-testing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
Show HN: I built an open source drag and drop editor for Genkit AI flows Hi, I have been building small AI Agents for quite some time now using various frameworks and one thing that always bugged me was that iterating on small things like prompts, flows, tools etc always took a code change + deployment of the app. While the prompt part can be solved with Langfuse I haven't found a good way to keep the flow management remote (and open source). Lately I have been working with Genkit ( https://ift.tt/6pEVhIM ) and love how modular it is. So I thought why not build a UI builder on top of that that can handle simple flows, prompts and basic tracing. And here we are with a first early version: https://flowshapr.ai Repo: https://ift.tt/UZv2zDE This first release can - Manage and execute simple flows remotely - Works with GoogleAI, Anthropic or OpenAi - Integrate with remote MCP tools - API Endpoint to execute flows remotely - Flows and flow urls are compatible with the genkit client sdk Upcoming - Support for Ollama - Support for various vector stores - More complex multi agent flows - Session management Any feedback and suggestions are welcome! September 14, 2025 at 12:24AM
Show HN: 47jobs – A Fiverr/Upwork for AI Agents Hi HN, I’ve been working on something I’d love to share: 47jobs ( https://47jobs.com ) – a marketplace where you can hire AI agents to do tasks instead of human freelancers. Why? I kept noticing that many tasks on Upwork/Fiverr—coding, content generation, data analysis, automation—can now be handled by AI in minutes, not hours. But there wasn’t a platform built around hiring AI directly. So I built 47jobs: 100% AI agents doing the work (no humans in the loop). Jobs get delivered 10x faster, at transparent prices. You can “hire” an agent for coding, automation, research, etc. I’d love your thoughts: Does a pure AI-agent marketplace make sense? What types of jobs would you want AI agents to handle first? Any UX or trust issues you’d expect with this model? This is an early version, and I’m here to learn from your feedback. Thanks! https://47jobs.xyz September 13, 2025 at 01:29AM
Show HN: Lumro – AI agents for customer support, sales, and more Hey HN, We just launched Lumro, a platform that lets you create AI agents that actually do things, not just chat. With Lumro you can: Handle customer support instantly, 24/7 Capture leads and qualify them Book demos or route tickets automatically The idea is to take repetitive work off human teams so they can focus on strategy and relationships. We launched yesterday and so far: 200+ people checked it out 15 signed up Our agent booked 1 demo Our agent captured 2 leads It’s early days, but we’re excited about the traction. Would love your feedback especially on what you’d want to see in an AI agent for your business. https://www.lumro.co/ September 12, 2025 at 09:46PM
Show HN: Kafkatop, top-like CLI for Kafka Hey HN, for those of you tired of running kafka-consumer-groups.sh and similar tools, here's a small real-time monitoring CLI tool for Apache Kafka, that displays consumer lag and event rates in a clean, top-like interface. You can quickly assess which consumers are lagging and when they will catch up. I've made this to quickly assess the health of remote on-premises clusters which most of the time lack proper monitoring. The tool can be found here: https://ift.tt/VkKWgw6 I'd be very interested to hear your feedback or any features you think would add value to this tool! https://ift.tt/VkKWgw6 September 11, 2025 at 11:33PM
Show HN: Real-time texture compression in Three.js With the latest three.js update (r180) the use of the Spark GPU codecs is now straightforward and integration into existing gltf loaders requires just one line of code. This blog post outlining the few steps involved, goes over some of the surprises I encountered, and takes a close look at performance. The spark.js GitHub repository now includes three.js examples that are trivial to run, just: ``` npm install npm run dev ``` https://ift.tt/hlXRCJz September 11, 2025 at 11:50PM
Show HN: Story to Manga – Paste a story, get a manga I’ve been hacking on a fun side project: Story to Manga The idea is simple: Paste a short story. Choose a style (manga or comic). Get back panels with consistent characters, settings, and mood. It analyzes your text, builds character references, storyboards the panels (dialogue, camera angle, mood), and then generates full manga pages. The hard part—and what makes it actually usable—is keeping characters consistent across panels. We’ve used it to turn micro-stories, hackathon recaps, and silly inside jokes into legit manga chapters. It’s still early, but fun enough that we thought HN might enjoy playing with it. Star our github here: https://ift.tt/D4Z6w5X https://ift.tt/fBuSRNg September 11, 2025 at 11:26PM
Show HN: Haystack – Review pull requests like you wrote them yourself Hi HN! We’re Akshay and Jake. We put together a tool called Haystack to make pull requests straightforward to read. What Haystack does: -- Builds a clear narrative. Changes in Haystack aren’t just arranged as unordered diffs. Instead, they unfold in a logical order, each paired with an explanation in plain, precise language -- Focuses attention where it counts. Routine plumbing and refactors are put into skimmable sections so you can spend your time on design and correctness -- Provides full cross-file context. Every new or changed function/variable is traced across the codebase, showing how it’s used beyond the immediate diff Here’s a quick demo: https://youtu.be/w5Lq5wBUS-I If you’d like to give it a spin, head over to haystackeditor.com/review! We set up some demo PRs that you should be able to understand and review even if you’ve never seen the repos before! We used to work at big companies, where reviewing non-trivial pull requests felt like reading a book with its pages out of order. We would jump and scroll between files, trying to piece together the author’s intent before we could even start reviewing. And, as authors, we would spend time to restructure our own commits just to make them readable. AI has made this even trickier. Today it’s not uncommon for a pull request to contain code the author doesn’t fully understand themselves! So, we built Haystack to help reviewers spend less time untangling code and more time giving meaningful feedback. We would love to hear about whether it gets the job done for you! How we got here: Haystack began as (yet another) VS Code fork where we experimented with visualizing code changes on a canvas. At first, it was a neat way to show how pieces of code worked together. But customers started laying out their entire codebase just to make sense of it. That’s when we realized the deeper problem: understanding a codebase is hard, and engineers need better ways to quickly understand unfamiliar code. As we kept building, another insight emerged: with AI woven into workflows, engineers don’t always need to master every corner of a codebase to ship features. But in code review, deep and continuous context still matters, especially to separate what’s important to review from plumbing and follow-on changes. So we pivoted. We took what we’d learned and worked closely with engineers to refine the idea. We started with simple code analysis (using language servers, tree-sitter, etc.) to show how changes relate. Then we added AI to explain and organize those changes and to trace how data moves through a pull request. Finally, we fused the two by empowering AI agents to use static analyses. Step by step, that became the Haystack we’re showing today. We’d love to hear your thoughts, feedback, or suggestions! https://ift.tt/QFaZdiL September 10, 2025 at 11:51PM
Show HN: Strange Attractors – a maths side-project in Threejs I went down the rabbit hole on a side project and ended up building this: [Strange Attractors]( https://ift.tt/TEecm31 ). It’s built with three.js. Working on it reminded me of the little "maths for fun" exercises I used to do while learning programming in early days. Just trying things out, getting fascinated and geeky, and being surprised by the results. I spent way too much time on this, but it was extreme fun. My favorite part: someone pointed me to the Simone Attractor on Threads. It is a 2D attractor and I asked GPT to extrapolate it to 3D, not sure if it’s mathematically correct, but it’s the coolest by far. I have left all the params configurable, so give it a try. I called it Simone (Maybe). If you like math-art experiments, check it out. Would love feedback, especially from folks who know more about the math side. https://ift.tt/TEecm31 September 10, 2025 at 11:27PM
Show HN: Superagents – connect spreadsheets to any database, API or MCP server Hi HN, I’m Eoin, founder of Sourcetable ( https://sourcetable.com ). Today, we’re launching Superagents. You can now connect your spreadsheet to any database, API or MCP server on the Internet. All of that data is available inside your spreadsheet, and you can use AI to analyze it and build models, reports and visualizations. The reason I started the company is because I spent 10 years at startups across engineering and operations roles and realized that Excel and Sheets weren't architected for the modern information environment. This creates a tremendous amount of nuisance and busywork cobbling together SaaS tools, reporting suites, and the misery of endless coordination meetings to make it all happen. (Boo meetings!) Spreadsheets aren’t just a business application: they’re the original thinking tool. The quality of these tools has a downstream impact on analytical thinking and creativity writ large, so this is a problem worth solving. Fast forward to today, we’re a 6 person team taking on Excel, Sheets and ChatGPT, so we’re excited to hear what you think! Who are Superagents for? Analysts, operators, and anyone doing data-centric work in spreadsheets. We see a tonne of finance people, of course, but also students, researchers and mom & pop shops. Sourcetable's superagents democratize data access and analysis, which is nice because our company’s mission is to make data accessible to everyone. Why “Superagents”? Because they can plan and orchestrate other task-specific agents to complete your work for you. We have a lot of different AI tools and agents inside Sourcetable, but there’s a whole lot more on the Agentic Web. Superagents are like the conductor that coordinates them all and calls on them when needed. Also, it’s a fun feature name (thanks, Alyssa!) If you remember the linked-data dream of the semantic web movement, that future is now: all of your business data is available and connected in Sourcetable. How does it work? Sourcetable is running a python virtual machine under the hood. Everything is sandboxed, and there are hundreds of AI tools and libraries our AI can access. Superagents are also doing code-gen on the fly to solve problems. The closest system we have found is Replit’s sandboxed operating systems. Beyond that Mixtral, ChatGPT and Anthropic offer some limited data connectivity features, except these AI chat services lack the storage, compute, and code execution that Sourcetable and Replit provide. This is all very new. How is this different to your previous data connectors, etc? We started out using ETL services to sync data and provide a GUI-driven PowerBI like experience in your spreadsheet. This was useful for people who knew SQL and how to write joins to combine fragmented data, but for everyone else (read: practically everyone), this solution just didn’t provide the frictionless, self-serve experience that we wanted. Our choices were to switch the GTM motion or change the product, so we shelved that reporting suite and focused on our AI spreadsheet and waited for models to catch up with our ambitions. Now that they have, we’re re-launching Sourcetable with our original goal in mind: building a spreadsheet-based operating system for the Agent Web, with fully networked data access for everyone on your team. AI is the great UX enabler. Caveats: * We heavily use Postgres, Google Analytics, Stripe and Google Search Console with Superagents. * We haven’t tested every endpoint on the Internet. We find that mainstream, well documented applications work best. * Yes, you can write data back to 3rd party applications and databases. We generally advise against this unless you understand the risks involved in giving AI write-access to your data. Bonus round: * All data connectors added during this launch week are FREE. (Regular AI messaging limits still apply.) Product Feedback? eoin@sourcetable.com https://ift.tt/uWYjiL7 September 10, 2025 at 12:25AM
Show HN: An Open Source XR(AR/VR) Operating System We're two college students building an XR(AR/VR) native Operating System with a custom kernel. We're also Open Source so feel free to check our GitHub Repository- https://ift.tt/nr01tZS . The journey hasn't exactly been easy, we've been criticized by a lot saying that whatever we're doing is impractical and that we're too ambitious. Regardless, we've been committed to reach our goal. Here to answer all questions and doubts. Answering one question beforehand because we know someone is going to ask it - Q: Why use your own kernel/ Why don't you use Linux/ Why are you trying to reinvent the wheel? A: Using our own kernel helps us get rid of the baggage of legacy codes, bring the most optimal performance on our target hardware (XR/AR/VR) and achieve more efficiency than what we would've achieved on an existing kernel. We're not trying to reinvent the wheel, but just building Formula One racing tyres for it. https://ift.tt/xgy3rDs September 7, 2025 at 04:39PM
Show HN: Paper's Heat Map Shader Paper is a new design tool. We launched into open alpha today. Anyone can now sign up and use Paper. We started Paper about 1 year ago with the goal to bring more creativity back into design tools. It feels like the existing options are becoming increasingly corporate. To celebrate to launch, we published a new shader that lets anyone see their logo in Apple's new heat map animation style. There is no sign-up needed at heat.paper.design. We're always looking for feedback from anyone who uses Sketch, Figma, Photoshop, or Illustrator, about what they most need in their professional design tools. Have fun with the new shader and please send me anything you make! https://ift.tt/7uYzQn0 September 9, 2025 at 11:33PM
Show HN: C++ Compiler Support Page Hi HN, I have created a webpage that displays all C++ features since C++20 in a simple, searchable table. It is intended to serve as a quick reference for C++ developers, whether as support for cross-platform development or simply to track the current support status out of curiosity. I created it as a simpler, more structured, and more up-to-date alternative to the cppreference compiler support site. Please note that the page intentionally does not list LWG and CWG papers. This might change as I am continually updating the site and trying out new ideas. Questions, feedback and suggestions are appreciated, either here or in the form of GitHub issues. https://cppstat.dev September 8, 2025 at 12:42PM
Show HN: Gemini connected to 18 native iOS tools and shortcuts I built an iOS voice assistant that connects your action button to Gemini Live with 18 native iOS tools like location, calendar, and so on. It also connects to any shortcuts you have on your phone. Totally free, no account, no setup. https://saturn-live.app September 8, 2025 at 10:44PM
Show HN: I made a simple ASCII-art analog clock in Emacs Just a toy, showing how easy it is to leverage built-in Emacs features (most notably Artist mode, which provides a set of functions for creating ASCII-art vector graphics) and things like trigonometric functions and timers to create something nice. A short blog post mentioning some background (and showing a screenshot): https://ift.tt/AsZDxwR . https://ift.tt/0I14MZY September 8, 2025 at 11:48PM
Show HN: The World After 3, 5, 10, 25, 50, and 100 Years Ft. AI AI is arguably the greatest invention in modern human history. Humanity has always evolved in hockeystick curves, each major discovery unlocking an entirely new trajectory of progress. But what does this mean for us, Humans ? dive in for more info here⬇ https://ift.tt/kArghHv... https://ift.tt/Fd48BlW September 8, 2025 at 12:24AM
Show HN: rm-safely – A shell alias that moves files to trash instead of deleting I made rm-safely, a simple shell wrapper that moves files to trash instead of permanently deleting them. It prevents accidental deletions from autocomplete mishaps or hasty rm -rf commands. Should work as a drop-in replacement for rm but safer. Would appreciate any feedback! https://ift.tt/9eIYhzk September 4, 2025 at 12:38PM
Show HN: A livestream of all image descriptions (alt text) on Bluesky In 2019, an academic paper by Gleason et al. found that only 0.1% of Twitter image posts had any form of image description (alt text) [1]. I wanted to see the analogous number for Bluesky today - my full blog post is here [2], but I found looking at the live stream was illuminating and fun too: * Bluesky image posts are frequent enough to keep moving, but not so frequent that it's an unreadable blur. * There's lots of bot content for things like ADS-B feeds (planes nearby), radio station "Now playing", and good old-fashioned affiliate link spam. * There is a lot of detailed descriptions for sexual content. This was a surprise to me! [1] https://ift.tt/4J1pI8g [2] https://ift.tt/ZdSqPOs https://bobbiec.github.io/bluesky-alt-text.html September 7, 2025 at 10:59PM
Show HN: 60-Second Linux Analysis, Supercharged with Nix and LLMs Hello HN, I'm sharing a little open-source utility I wrote recently. I'm a huge fan of Brendan Gregg's "BPF Performance Tools" book. However, every time I SSH into a fresh server, most of the diagnostic tools aren't installed there and installing them can be really annoying. I decided to use Nix package manager and LLMs to make this process straightforward. My utility first downloads a "toolbox" of Linux utilities (built with Nix), runs Brendan Gregg's famous "60-second Linux analysis" playbook and then summarizes the results with an LLM. So "60-second Linux analysis" now becomes a single one-line command and actually takes less than 60 seconds! The utility can execute all commands in parallel and the LLM can analyze them faster than a human would. I have a few ideas for the future, for example implementing more powerful playbooks - thanks to Nix I can easily bundle all tools I need and LLMs have no trouble analyzing outputs of tens of commands. I'd love to get your feedback and hear any ideas you have. Thanks for checking it out. You can launch the utility with this command: $ curl -fsSL https://ift.tt/YJgowvS | sh https://ift.tt/B1je60r September 6, 2025 at 09:23PM
Show HN: Dumb Site to Rate Horses I wanted a project to learn the Dioxus framework. It needed to be relatively simple and fun. Here is a site that lets you rate horses. The horse people I know have taken issue with this site because they say all horses are beautiful. What do you think? Images are from an open source AI training dataset of horses, so there are some odd ones in there... https://hhn.bustin.tech September 6, 2025 at 11:02PM
Show HN: I built a public and open llms.txt endpoint for every domain And yes, I know, literally no AI uses llms.txt right now. But hear me out: if you want it just in case, or if you would like to add your sites to some llms.txt directories, you can use this endpoint. That way, you do not need to keep updating your own llms.txt, especially as I improve the API. Here is how it works: Enter any domain: https://get.llms.page/{example.com}/llms.txt The API will parse your homepage (if allowed in robots). Using internal links, descriptions, and other metadata, it will generate an Markdown llms.txt file. It does not rely on AI, because I want it to be fast and free. The API is open, free, runs on a CDN, and is powered by Cloudflare Workers for speed. I plan to open source the no-AI llms.txt generator later, since there is still a lot to improve. If you want to try it out or see some usage examples, visit: https://llms.page Let me know what you think! https://llms.page/ September 6, 2025 at 01:45AM
Show HN: Open-sourcing our text-to-CAD app Hey HN! I'm Zach from Adam ( https://adam.new/ ). We’re building an AI co-pilot for mechanical CAD software. As part of our broader research, we built a browser-based Text-to-CAD app ( https://ift.tt/D8xhEPy ) and are now open sourcing it. This is a React SPA with a Supabase backend. What it does: * Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references * Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension tweaking * Exports as .STL or .SCAD Under the hood: * Separate agents for conversation and code generation; simple parameter tweaks bypass AI entirely using deterministic regex-based updates * Runs fully in-browser by compiling OpenSCAD to WebAssembly and integrating Three.js with React Three Fiber for 3D rendering * Supports BOSL, BOSL2, MCAD libraries and custom font support (Geist) for text in models We’ve seen many developers trying to replicate this kind of functionality, so we’re releasing this to give the community a solid foundation to build on. Future improvements: * Expand geometry support - Move beyond CSG primitives to support curved surfaces, fillets, lofts, and constraint-driven modeling through CadQuery/Build123D * Better spatial context - UI for face/edge selection and viewport image integration to give LLMs spatial understanding * Enhanced capabilities - RAG on documentation and integration with more OpenSCAD libraries for features like proper threading You can clone the repo and run it locally! Contributions are welcome, and we’ll keep merging PRs as they come in. https://ift.tt/g5OXm3w September 5, 2025 at 10:39PM
Show HN: Swimming in Tech Debt This is the first half of my book, “Swimming in Tech Debt”. It is available at a pre-launch sale price of $0.99 ( https://ift.tt/ID4NCxO ). I have been working on it since January 2024. It is based on some posts in my blog, but expands on my ideas quite a bit. In September 2024, excerpts appeared in Gergely Orosz’s Pragmatic Engineer newsletter, which helped me get a lot of feedback that expanded the book from my initial idea. This half is about what I expected to do before that —- the rest of the book goes into team and CTO practices. https://ift.tt/QXGksaj September 5, 2025 at 11:03AM
Show HN: A small browser game (PC only) built with Phaser 3 Hi HN! This is my first game — something I’ve always wanted to do. It’s a small browser game built with Phaser 3, React, and the phaser template ( https://ift.tt/RhB89VC ). I made it in 2 days (like 8 hours in total real time) using gemini-cli. About 90% of the code was generated with AI, but I learned a lot by making fine tweaks. It only works on PC since it’s a typical WASD + R (reload) shooter. I’d love feedback on: - Gameplay (is it fun, too hard?) - Ideas for new features Thanks in advance! ps: I used cubes as a prototype, but now I kind of like them. Should I keep them or implement proper sprites? https://cubic-zombies.pages.dev/ September 5, 2025 at 02:44AM
Show HN: Trending rust NTP inspection CLI Hi y’all, Just came across a crate on crates.io that recently hit v1.0.0. It’s called rkik - basically a "dig for NTP". I hadn’t seen a tool like this in Rust before. Looks pretty handy: it can query and compare NTP servers, output JSON for monitoring, and even run continuous checks. Seems to be getting some traction in the Rust community - might be worth a look if you’re into System administration, networking or DevOps. https://ift.tt/v6ONagW September 4, 2025 at 12:49AM
Show HN: Entropy-Guided Loop – How to make small models reason TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave like expensive black boxes. Meanwhile, standard inference already computes useful signals both before softmax normalization and after it(logprobs), which we usually throw away. This loop tries the simplest thing that you could think of: use those signals to decide when (and where) to think again. GitHub (notebook + minimal code): https://ift.tt/iAYPceu Paper (short & engineer made): https://ift.tt/L9MCmyO Blog (more context): https://ift.tt/mraNZDP Requirements: Python, API that exposes logprobs (tested with OpenAI non reasoning 4.1). OPENAI_API_KEY and WEAVE for observability. Run the notebook; it prints metrics and shows which tokens triggered refinement. - Python, simple loop (no retraining). - Uses Responses API logprobs/top-k; metrics: perplexity, max token entropy, low-confidence counts. - Weave for lightweight logging/observability (optional). - Passing alternatives (not just “this looks uncertain”) prevents over-correction. - A simple OR rule (ppl / max-entropy / low-confidence count) catches complementary failure modes. - Numbers drift across vendors; keeping the method vendor-agnostic is better than chasing fragile pairings. - Needs APIs that expose logprobs/top-k. - Results are indicative—not a leaderboard; focus is on within-model gains (single-pass vs +loop). - Thresholds might need light tuning per domain. - One pass only; not a chain-of-thought replacement. - Run it on your models and ideas (e.g., 4o-mini, v3, Llama variants with logprobs) and share logs in a PR for our README in GitHub if you'd like, PRs welcome - I’ll credit and link. Overall let me know if you find making small models reason like this useful! https://ift.tt/iAYPceu September 3, 2025 at 10:49PM
Show HN: My first Go project, a useless animated bunny sign for your terminal Hi HN, I wanted to share my very first (insignificant) project written in Go: a little CLI tool that displays messages with an animated bunny holding a sign. I wanted to learn Go and needed a small, fun project to get my hands dirty with the language and the process of building and distributing a CLI. I've built a similar tool in JavaScript before so I thought porting it would be a great learning exercise. This was a dive into Go's basics for me, from package structure and CLI flag parsing to building binaries for different platforms (never did that on my JS projects). I'm starting to understand why Go is so praised: it's standard library is huge compared with other languages. One thing that really impressed me was the idea (at some point of this journey) to develop a functionality by myself (where in the javascript original project I choose to use an external library), here with the opportunities that std lib was giving me I thought "why don't try to create the function by miself?" and it worked! In the Js version I used the nodejs "log-update", here I write a dedicated pkg. I know it's a bit silly, but I could see it being used to add some fun to build scripts or idk highlight important log messages, or just make a colleague smile. It's easy to install if you have Go set up: go install github.com/fsgreco/go-bunny-sign/cmd/bunnysign@latest Since I'm new to Go, I would genuinely appreciate any feedback on the code, project structure, or Go best practices. The README also lists my planned next steps, like adding tests and setting up CI better. Thanks for taking a look! https://ift.tt/70gEFyj August 31, 2025 at 06:46PM
Show HN: Use "-f**k" to kill Google AI Overview Not sure this is the right way to post this, but I'm sure quite a few people are as frustrated as I am by the AI enshittification of Google search and would like to know this. I accidentally discovered in a fit of rage against Google Search that if you add an expletive to a search term, the SERP will avoid showing ads and also an AI overview. The good thing is that it works also with the "-" (minus) operator, so you can make sure the expletive is actually not included in the result pages. Try it yourself: search for a fairly generic query that gives you ads and AI overview, and add "-f*k" at the end, uncensored of course. Enjoy a much better search experience. It might be placebo, but it feels like the results are actually better sorted. Edit: edited to avoid HN pro-expletives filter :D September 1, 2025 at 02:24PM
Show HN: Pol/ite – /pol/ but posts are all polite What woud it be like to read fringe political views forcibly made polite by way of LLM? System prompt (gemini-2.5-flash-lite): "You are rewriting 4chan posts to be more polite while preserving their original meaning and tone. Don't add unnecessary verbosity; keep it concise. Make sure to preserve formatting including markdown, links and greentext." https://pol-ite.web.app August 31, 2025 at 09:52PM
Show HN: Oaki–job finder and resume maker Hi! I built Oaki about a year ago as a side project to solve my own frustration with job applications, and it’s now helping thousands of users with their job hunt. I had quit my previous (consulting) company when I decided to step back into the job market, and I HATED applying to jobs with a passion. Finding good jobs, sifting through all the crap, etc.etc. So I built a rough MVP and posted it on Reddit and got more paid users than I ever had with any other company/startup I was in. To top that off, I found a really awesome job (and landed many more interviews) with it, so I know from first-hand experience that it works! Oaki’s 3-step flow: 1. Import or build a modern, eye-catching resume in under 2 minutes with Oaki 2. Set preferences (role, location, salary, and more) 3. Oaki finds best-fit jobs daily, generates a slightly tailored resume for each, designed to amplify each users' uniqueness On that last point, we're really big on safe AI use; that means we never use it for spam or 'spray and pray' applications. On the surface it looks pretty simple, but Oaki is powered by some really cool tech, blending ML with LLMs, orchestration, hybrid search, and much much more from finding jobs to printing high quality dynamic resumes, and even helping you apply to jobs. While the job finder itself is free (and all accounts get a free no-credit card trial), I do have to charge people for the AI-generated resumes/applications part. For anyone who needs it or knows someone, I hope it can help with the job search; it's reeeally bad right now. You can also use code `ICAMEFROMHN20` to get 20% off, or DM/email me at nour@oaki.io (I read everything). Cheers! Nour https://www.oaki.io/ September 1, 2025 at 12:37AM
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