Show HN: Glyde – MCP based AI website builder that uses 21st.dev Hi HN, I’m building Glyde – an AI landing page builder that makes really cool pages in one shot. It uses 21st.dev’s MCP (Model Composition Protocol) to build awesome pages with clean layouts and smooth animations — without needing to be a pro at writing prompts. Most tools like Lovable or Bolt.new feel kinda templated or boring unless you know how to write long, tricky prompts. Glyde fixes that. Glyde – Landing pages that don’t feel AI-made Goals: Help creators and devs launch fast Make pages that feel real and unique No prompt gymnastics — just type a few words Supports fun stuff like animations and effects Great for product launches, portfolios, and more You get a working landing page in one shot — no coding needed. It just works. Website: https://glyde.world Demo Landing page built with Glyde in One Shot: https://ift.tt/bv7hnd6 Would love your feedback and ideas! https://glyde.world May 31, 2025 at 03:00AM
Show HN: Hackertuah – I made a Hacker News CLI in Rust You may have seen this earlier with it's initial release: https://ift.tt/C9TH5XO Now new features: Instant search/filter: Press / or use the command palette to filter stories as you type Command Palette: Press Ctrl+K to access all commands, including search, section switching, and more Options menu for each story (summarize, open, close) Section switching: Top, Ask, Show, Jobs Easy install & run with Cargo Feedback, comments, feature requests welcome. https://ift.tt/Rg3vhC6 May 31, 2025 at 02:11AM
Show HN: Icepi Zero – The FPGA Raspberry Pi Zero Equivalent I've been hacking away lately, and I'm now proud to show off my newest project - The Icepi Zero! In case you don't know what an FPGA is, this phrase summarizes it perfectly: "FPGAs work like this. You don't tell them what to do, you tell them what to BE." You don't program them, but you rewrite the circuits they contain! So I've made a PCB that carries an ECP5 FPGA, and has a raspberry pi zero footprint. It also has a few improvements! Notably the 2 USB b ports are replaced with 3 USB C ports, and it has multiple LEDs. This board can output HDMI, read from a uSD, use a SDRAM and much more. I'm very proud the product of multiple weeks of work. (Thanks for the pcb reviews on r/PrintedCircuitBoard ) (All the sources on github under an open source license :D) PS. See some more pics on reddit https://ift.tt/6HycjT4... https://ift.tt/dTI8jOl May 28, 2025 at 07:01PM
Show HN: Asdf Overlay – High performance in-game overlay library for Windows I am making a open source overlay library. Game overlay is for rendering contents on top of game screen. Representative examples are Discord and Steam in-game overlay. They are complicated because it has to hook rendering part of a game. Asdf overlay provides easy to use interfaces for rendering on top of game screen. I recognize game performance degradation due to overlay rendering, so GPU shared texture was used to avoid CPU framebuffer copy. Asdf Overlay is capable of rendering full screen overlay without noticeable performance loss. https://ift.tt/d8mOPe1 May 30, 2025 at 11:57PM
Show HN: Clean Simple DNS Lookups Hey HN, Last weekend I vibe-coded a cool website that lets you do easy DNS record lookups. I know you can just use dig or nslookup, but oftentimes I'm too lazy to remember the syntax, and there are less technical users who need to manage DNS entries but aren't comfortable with the command line. We debug customer DNS issues often at ImprovMX, and we typically link to tools like mxtoolbox.com to point out DNS record issues. But those tools seem quite bloated and from the 2000s. I wanted something super clean & simple, and there were a few features I thought were ergonomically needed but lacking: - no confusing dropdowns or syntax for DNS lookup, just put in your domain or subdomain - click-to-copy for all values - header-links so we can provide URLs that will direct another user to an exact domain and which record we want to reference This was SUPER FUN to vibe code! The frontend was pretty much one-shotted with lovable. It's amazing how good AI is when working on a clean slate with all the latest popular frameworks (react, tailwind, shadcn, etc.). And I spent the next few hours making small tweaks with cursor. The backend is a dead simple python flask server. Both are hosted on render.com <3 I love how simple and value-oriented render.com is. It's always the provider that gives me the least headache when I want to just launch and forget something. Give it a try and let me know what you think! https://inspector.improvmx.com May 30, 2025 at 12:21AM
Show HN: Willow Voice (YC X25) – Personalized Dictation You Can Use Anywhere Hi HN, we're Lawrence and Allan, and we're building Willow Voice, a voice dictation tool for people who type a lot and want to move faster. We started out building for healthcare—first assisted living, then SNFs, then outpatient clinics—but the idea that stuck wasn’t the vertical. It was voice. We watched elderly patients use dictation to stay connected, and doctors reclaim hours with AI scribes. That’s when we realized dictation shouldn’t be limited to healthcare. If it were fast, accurate, and personal enough, everyone could benefit. Willow is not basic speech-to-text. It runs in the cloud for low-latency, supports technical terms and custom dictionaries, and learns your formatting and syntax preferences over time. Our users say it feels like it “just works,” even if they’ve never used dictation before. Some things we’ve already built: 1. Real-time dictation with extremely fast output 2. Context-aware text generation 3. Automatic formatting and structure detection Privacy is our absolute top priority - we do not store or retain voice data by default. Here are a few simple demos: 1. https://youtu.be/yFxH5HY-72Y?si=krI9WNFKBQE1Hvph 2. https://youtu.be/l2zlECbQQcU?si=fJLX-oYrflOI02kj 3. https://youtu.be/yKTIVCZbwHY?si=ohRMpuAUS8eqceAQ We’d love feedback from the HN community, technical questions, product ideas, and more! You can try it at https://willowvoice.com . Happy to answer any questions in the comments! https://ift.tt/xyo4FOq May 30, 2025 at 03:05AM
Show HN: I built an AI tool that generates click-worthy YouTube thumbnails Hey HN! Software engineer here. As an amateur youtuber, I've been struggling with thumbnails, especially since I don't have any design or editing skills. Decided to give it a try and make my own automatic thumbnail generator. Me being an ADHD person, made sure that there's no parameter tuning and shape choosing and fuss like that, just simply give prompt and generate thumbnail. Increased my CTR from 1.2% to 2.3% (faceless fantasy books niche on youtube) Thumbnail X (completely free for now) - https://thumbnailx.com/ Just wanna add that this is by no means a perfect thumbnail maker for huge YouTube moguls with millions of subscribers but I'm sure it's gonna be extremely helpful for beginner youtubers and medium size channels struggling with thumbnails. Tools used: 1. Cursor for development (shoutout to claude oppus 4.0) 2. Few image generators (primarily ideogram, but leonardo ai, deep ai and gpt 4o as fallbacks) 3. Few llms (chatgpt, claude, gemini for validating images and prompt enhancement) 4. AWS and Redis for storage & caching 5. Digital ocean for hosting and db 6. Python https://thumbnailx.com/ May 29, 2025 at 02:51AM
Show HN: Octogen: e-commerce capabilities for agents Hi HN, We just released a public beta of e-commerce capabilities for AI agents — aimed at developers building shopping agents or personal assistants. It’s early and buggy, but we’d love your feedback. Try a live demo here: https://ift.tt/R7PgDea --- ## Why we built this We believe the biggest *technical* bottleneck in building consumer e-commerce agents is fragmented product data and inconsistent schemas across online stores. So we created a high-fidelity yet unified interface for *e-commerce catalog + checkout*, regardless of the underlying platform. --- ## What it does We currently offer two core capabilities: ### 1. Unified product catalog (for LLM-style search) - Octogen automatically wrangles any ecommerce site into a common schema — a superset of `schema.org/Product`. - It works across platforms and is available today for hundreds of sites. - You can request new stores — ~95% are processed fully autonomously. - Useful for agents doing RAG-based product search with rich attribute awareness. ### 2. Agentic checkout (closed beta) - Works on *any ecommerce site* using virtual cards (Visa only for now). - Enables agents to complete checkout flows much faster than browser-based "computer agents." - We're working on support for additional vaults/wallets/payment APIs. --- If you’re working on agentic commerce, autonomous checkout, or personal AI shoppers — we’d love your feedback and ideas. More at: https://octogen.ai https://octogen.ai May 29, 2025 at 12:25AM
Show HN: Free mammogram analysis tool combining deep learning and vision LLM I've built Neuralrad Mammo AI, a free research tool that combines deep learning object detection with vision language models to analyze mammograms. The goal is to provide researchers and medical professionals with a secondary analysis tool for investigation purposes. Important Disclaimers: - NOT FDA 510(k) cleared - this is purely for research investigation - Not for clinical diagnosis - results should only be used as a secondary opinion - Completely free - no registration, no payment, no data retention What it does: 1. Upload a mammogram image (JPEG/PNG) 2. AI identifies potential masses and calcifications 3. Vision LLM provides radiologist-style analysis 4. Interactive viewer with zoom/pan capabilities You can try it with any mass / calcification mammo images, e.g. by searching Google: mammogram images mass Key Features: - Detects and classifies masses (benign/malignant) - Identifies calcifications (benign/malignant) - Provides confidence scores and size assessments - Generates detailed analysis using vision LLM - No data storage - images processed and discarded Use Cases: - Medical research and education - Second opinion for researchers - Algorithm comparison studies - Teaching tool for radiology training - Academic research validation The system is designed specifically for research investigation purposes and to complement (never replace) professional medical judgment. I'm hoping this can be useful for the medical AI research community and welcome feedback on the approach. Address: https://ift.tt/lRvXo1i https://ift.tt/lRvXo1i May 27, 2025 at 08:43PM
Show HN: CodeNow – CoderPad over WebRTC and WASM I was doing a lot of Leetcode this winter, and got the idea of building something like it that used wasm in the browser rather than having to manage the complexity of executing remote code securely on a server. Once I figured that out, I thought it would be neat to make it collaborative, like Coderpad — that part was a bit tougher, but it mostly works now, using WebRTC. I'm not sure whether other people will think this is cool, but I had fun building it and learning more about wasm + WebRTC. https://ift.tt/luhExUA May 27, 2025 at 02:08AM
Show HN: Personalized Newsletters About Anything I work in a highly regulated and rapidly changing space and found that I spent quite a bit of time keeping up with trends, etc. Decided to make something that automatically sends me updates on a weekly basis. Essentially like if a personal assistant wrote me a weekly/daily email about everything that's happening. How it works: specify the topic you're interested in, set the cadence for how often to send updates, and that's it. Works best for niche interests with frequent news/updates. Happy to open this up to the general public if others find this interesting. https://ift.tt/cSlN5Yd May 26, 2025 at 10:46PM
Show HN : A noise free Hackers News newsletters + catch up page Hey HN, I built HN500 because I wanted a no-fuss way to stay updated on major HN stories — especially after taking time off. It’s a newsletter and a catch-up tool with a few handy features: Set your own point threshold (250/500/750/1000) to get only the most upvoted posts. - Choose daily or weekly email updates. - Each email includes 3 random stories to help surface underrated gems. - The catch-up page lets you filter by points, time range, sort order, and more — great if you’ve been away for a while. It’s free, lightweight, and designed to stay out of your way. Feedback is welcome! https://ift.tt/2wqycGC May 26, 2025 at 01:47AM
Show HN: I built a chill place online to work on your ideas I used to watch hundreds of hours of lofi beats on youtube while I was coding, but I got really sick of all the ads. I decided to build a better alternative - It's a configurable space for you to hang out online while you work, with a ton of relaxing music and backgrounds. Its got useful tools built in like a timer to keep track of how long you've been locked in, and a notepad for todos or scribbling down ideas while you work. Honestly this is the first tool I've built that I personally use every day, so I'm hoping some of you out there can get some use out of it too! https://lofizone.com May 25, 2025 at 04:08AM
Show HN: DeepShot – NBA game predictor with 71% accuracy using ML and stats Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://ift.tt/YUPfWo0 And if you like it, here’s my Buy Me a Coffee: buymeacoffee.com/saccofrancesco Would love any feedback — especially from folks who’ve built sports models or worked on real-time stat tools. Also open to ideas on where to take this next (player-level modeling? betting advice dashboard?). Thanks! https://ift.tt/YUPfWo0 May 25, 2025 at 02:30AM
Show HN: 1min Workouts for People Who Sit All Day I am a software developer and in the last few months after recently becoming a father I was barely finding time for a proper workout. Recently I was reading about new research on Snack Exercises and how beneficial mini workouts of less than 2mins every so often, during the day are to our body. So, I decided to build an iOS App for me and others to help with this. The app generates a list of exercises that I need to tick to complete daily or loose my streak. The algorithm takes into account muscle groups and balancing the exercises to hit most main muscles. I also stayed going through all exercises and adding a couple of alternative exercises in case I don't feel like the recommended exercise. Since I'm not a trainer I commissioned professional exercise posture video guides and animations by an exercise expert which I attached to each exercise. I uploaded the app on the app store for free and no ads. If this is something that interests you, I want to hear how you balance a long day on your desk vs exercise. https://shortreps.com May 25, 2025 at 02:11AM
Show HN: Can AI Help Designers Ideate Better? We Spent 5 Wks Finding Out We set out to answer a simple but deep question: Can AI actually practically help product designers improve during the discovery and ideation phase of the design process? So we spent 5 weeks running an experiment. We mapped every tool we use for discovery: Mobbin, Dribbble, Pinterest, Twitter, Behance We broke down typical design thinking and brainstorming workflows We reviewed every prototyping or idea-capturing tool we’ve used Then we tried building lightweight AI workflows with various LLM tools and frameworks Result: Yes. Used well, AI can significantly improve design thinking — especially for junior/mid-level designers — by offering faster idea generation, design critiques, and creative merges. Out of that research, we built Moonchild: A discovery-stage design ideation tool that: Generates thoughtful UI concepts from minimal prompts Allows asking design questions and getting structured critique Merges styles, flows, and interaction patterns from multiple directions Outputs great Figma-ready screens and UX flows, fast Try it (private beta): https://moonchild.ai Use code 'hackernews' for early access. Would love feedback — especially from product designers, PMs, and UX folks doing early-stage work. May 25, 2025 at 12:36AM
Show HN: Advanced Chunking in JavaScript/TypeScript with Chonkie Hi HN, We’re Shreyash and Bhavnick. We built Chonkie, an open-source library for advanced chunking and embedding of text and code. It was previously Python-only, but we just released a TypeScript version: https://ift.tt/kgzf1Tp Many AI projects in JS/TS (like those using Vercel's AI SDK or Mastra) rely on basic text splitters. But better chunking = better retrieval = better performance. That’s what Chonkie is built for. Current native chunkers (in TS): - Code Chunker – handles Python, TypeScript, etc. - Recursive Chunker – rule-based, hierarchical splitting - Token Chunker – split by token count (fully customizable) - Sentence Chunker – split on sentence boundaries. Delimiters are customizable, so it works for multiple languages. All chunkers support custom tokenizers, chunk overlap, delimiters, and more. Coming soon in native TS (already available via the API client): - Semantic Chunker – splits texts wherever it detects a shift in meaning. - SDPM Chunker – merges semantically similar disjoint chunks - Late Chunker – generates context-aware embeddings for each chunk - Slumber Chunker – LLM-refined recursive chunks. Significantly reduces token usage (and thus cost) while maximizing chunk quality. - Embeddings Refinery - Embed chunks with any embedding model - Overlap Refinery – Create overlaps between consecutive chunks for better context preservation. Chonkie is free, open-source, and MIT licensed. GitHub: https://ift.tt/kgzf1Tp We’d love your feedback, ideas, or contributions. Thanks! May 24, 2025 at 01:33AM
Show HN: DoubleMemory – more efficient local-first read-it-later app DoubleMemory started as an experiment to see if I can somehow automatically save all double cmd + c, as I often do instinctively, so I don't need extensions to save links and text into an app, and avoiding flooding the capture history as regular clipboard managers does. My motivation was not to create a read-it-later app, yet it evolved into this unique yet cohesive form of a read-it-later + bookmarking organizer + clipboard manager + card based note-taking app over the last 6 months. It also launches from the menu bar with a shortcut and navigates with keyboard shortcuts. My favorite part is instead of rendering a list of article titles, everything is rendered as pretty preview cards in a translucent Pinterest-like mood board. It also has a nifty iOS app, that will allow you to swipe with your thumbs between articles just like on iOS Safari... Now that Pocket is closing, this is after Instapaper going back to indie and Omnivore and UpNext and numerous others closing over the years. All of these are cloud-hosted services, which got me reflecting: maybe this local-first architecture would be well positioned to build in this space. Here is my not-so-scientific comparison: ## Domain $10 vs $1M = 100,000x difference. ## Server running cost No servers other than what's running by iCloud vs $1M per year = 1mX difference ## Platforms Apple only (mac + iphone + ipad) vs Multi platforms (windows, linux, android also supported) = 20X maintenance cost difference ## Capturing No browser extensions required v.s. maintain all extensions for various browsers and extension stores = 5x difference ## Architecture App receives the link, Apple generates the rich preview cards for thousands of different types of links, app caches these preview cards. vs. Someone write some custom code for each link type or with Open Graph, one designer created one generic card that works for all links. = 100x cost difference. I know, Apple is coming for clipboards with more restrictions, which is basically a shared global state on Mac systems, DoubleMemory does also support other ways to capture: drag-n-drop to app/menubar icon/app icon, right click->Services menu, or Share sheet. We will add more auto-importers. Also vibe coded some importers for Pocket, Omnivore and ReadWise here: https://ift.tt/0ZVDraO Everything in the app is free with no limits. Capturing is really step 0. You giving us a chance to save your content, doesn't mean you are getting any values out of it (ain't that the typical story of read-it-later apps? save-it and never-read-it). the eventual goal is to easily retrieve these content, and eventually consuming them. I hope to eventually launch paid features that aligns with these value generating workflows. App Store link: https://ift.tt/0uj89Ar Let me know what you think... https://ift.tt/YMpXgiW May 24, 2025 at 12:25AM
Show HN: hcker.news – an ergonomic, timeline-based Hacker News front page Hi folks, I've built an alternative Hacker News front page. It is inspired by and meant to be a replacement for hckrnews.com. I built this because HN is woefully underfeatured, but most sites that try to improve it seem to assume that the visual design is the problem. hcker.news tries to maintain HN's familiarity while adding useful enhancements. There are three primary views: - Timeline View: Browse top stories by votes or comments grouped by day, week, or month (e.g., top 20 per day, top 100 per week). - Aggregate View: See top stories by votes or comments over custom time ranges. - Front Page View: The original HN front page, untouched. Feed Filtering: - Custom Keyword Filters: Include/exclude keywords (e.g., include "Rust," exclude "DOGE") or set a minimum score threshold. - No HN Algorithm: Timeline and Aggregate Views show stories usually downranked by the HN algo (e.g., flagged posts or those with too many comments). UI: - Unread Flags: Quickly spot new stories or ones you haven't seen. - Two Layouts: Classic HN style or a compact story view inspired by hckrnews.com. - Multi-column & High-density Modes: Fit more content on screen. - Themes: Light, Dark, and Manila. I'd love your feedback and suggestions. Cheers! https://hcker.news May 24, 2025 at 12:14AM
Show HN: Free Text-to-Video for Learning Anything(Inspired by 3Blue1Brown) I'm a huge fan of 3B1B and how he creates appealing and easy-to-understand videos. But he doesn't have a video for every single topic. Whenever I needed help in math or physics, I would try to watch his videos but the issue is that are just not specific enough to my content or curriculum. This issue applies to every single video explanation out there, they just aren't personalized. Most educational videos explain general topics, but they don’t align perfectly with the specific question I have or the way I need it explained. That’s the gap I wanted to fill. So I built a tool that generates high-quality, visually engaging explainer videos that are tailored exactly to the question you ask. Whether it's a niche math problem, a concept from your physics class, or something your textbook didn't explain well, this tool creates a custom explanation in the style of channels like 3B1B, but made just for you. The tool is free to use for some time. Me and my cofounder have dedicated a portion of our savings to this project and unless we get external funding in the near future, we would have to add a paid tier for the product or completely shut it down. Also, would love it if you show some support at our discord server. Thanks for your time! The tool is free to use for some time. Me and my cofounder have dedicated a portion of our savings to this project and unless we get external funding in the near future, we would have to add a paid tier for the product or completely shut it down. You can try it out yourself here --> https://trytorial.com/ . Also, would love it if you show some support at our discord server. Thanks for your time! https://trytorial.com/ May 22, 2025 at 11:30PM
Show HN: Pi Co-pilot – Evaluation of AI apps made easy Hey HN — 2 months ago we shared our first product with the HN community ( https://ift.tt/Dmdwthj ). Despite receiving lots of traffic from HN, we didn’t see any traction or retention. One of our major takeaways was that our product was too complicated. So we’ve spent the last 2 months iterating towards a much more focused product that tries to do just one thing really well. Today, we’d like to share our second launch with HN. Our original idea was to help software engineers build high-quality LLM applications by integrating their domain knowledge into a scoring system, which could then drive everything from prompt tuning to fine-tuning, RL, and data filtering. But what we quickly learned (with the help of HN – thank you!) is that most people aren’t optimizing as their first, second, or even third step — they’re just trying to ship something reasonable using system prompts and off-the-shelf models. In looking to build a product that’s useful to a wider audience, we found one piece of the original product that most people _did_ notice and want: the ability to check that the outputs of their AI apps look good. Whether you’re tweaking a prompt, switching models, or just testing a feature, you still need a way to catch regressions and evaluate your changes. Beyond basic correctness, developers also wanted to measure more subtle qualities — like whether a response feels friendly. So we rebuilt the product around this single use case: helping developers define and apply subjective, nuanced evals to their LLM outputs. We call it Pi Co-pilot. You can start with any/all of the below: - a few good/bad examples - a system prompt, or app description - an old eval prompt you wrote The co-pilot helps you turn that into a scoring spec — a set of ~10–20 concrete questions that probe the output against dimensions of quality you care about (e.g. “is it verbose?”, “does it have a professional tone?”, etc). For each question, it selects either: - a fast encoder-based model (trained for scoring) – Pi scorer. See our original post [1] for more details on why this is a good fit for scoring compared to the “LLM as a judge” pattern. - or generates Python functions when that makes more sense (word count, regex etc.) You iterate over examples, tweak questions, adjust scoring behavior, and quickly reach a spec that reflects your actual taste — not some generic benchmark or off-the-shelf metrics. Then you can plug the scoring system into your own workflow: Python, TypeScript, Promptfoo, Langfuse, Spreadsheets, whatever. We provide easy integrations with these systems. We took inspiration from tools like v0 and Bolt: natural language on the left, structured artifacts on the right. That pattern felt intuitive — explore conversationally, and let the underlying system crystallize it into things you can inspect and use (scoring spec, examples and code). Here is a loom demo of this: https://ift.tt/3Ld5JUv We’d appreciate feedback from the community on whether this second iteration of our product feels more useful. We are offering $10 of free credits (about 25M input tokens), so you can try out the Pi co-pilot for your use-cases. No sign-in required to start exploring: https://withpi.ai Overall stack: Co-pilot next.js and Vercel on GCP. Models: 4o on Azure, fine tuned Llama & ModernBert on GCP. Training: Runpod and SFCompute. – Achint (co-founder, Pi Labs) https://withpi.ai/ May 22, 2025 at 06:01PM
Show HN: Super (YC W18) - Turn company data into answers & agents for your team Hey there, Chris here We're known for our straightforward yet powerful Knowledge Base, Slite(YCW18).We launched our AI-powered search in Feb 2023 and after getting great response and usage, we dove deeper into solving the challenge of knowledge retrieval in daily work. That's why we're now launching our second major product, Super( https://www.super.work ). Super seamlessly connects your existing tools, providing accurate answers, streamlined workflows, automated digests, and much more. You might wonder: Why not just link your apps together using something like an MCP? The problem is that MCPs can't handle complex knowledge retrieval effectively. MCPs are basically LLMs equipped with API toolbelts. If you've ever tried asking a complicated question through an MCP, one that needs data from multiple different tools, you've likely faced frustrating delays. MCPs slowly make API calls one after another, causing long waits while they collect data from each endpoint. By contrast, Super quickly searches through all the data that actually matters from all of your tools simultaneously. This means you'll get your accurate answer in seconds, not minutes. The limitations of MCP-based solutions become clear when you try to deploy them reliably within a team. They either won't index your critical content effectively, won't do it fast enough, or won't cover all your tools at once. Properly chunking, embedding, querying, and filtering data from various sources is still essential. MCPs triggering APIs can't match this integrated approach for speed and accuracy. Moreover, Super understands the value of running multiple tasks simultaneously through LLMs. For example, one step may involve identifying search filters, while another simultaneously uses an LLM to aggregate and refine information. This parallel process quickly shapes the final, accurate answer for users. Additionally, MCPs aren't designed for enterprise-grade use. Businesses need standardized experiences, fine-grained user permissions, and consistent access controls across multiple tools. Super addresses these requirements by indexing data beforehand while still respecting each user's access permissions. Super offers: - Perplexity-like search experience on your team data - A growing selection of integrations with popular data sources - Customizable AI assistants tailored to your specific needs - An extension to embed Super directly into external websites you're already using - A clear path for your company to adopt AI strategically, rather than letting individual employees scatter across different, incompatible tools. And of course... It does comes with its MCP, which makes your agentic workflows actually able to properly tap on your data. Here's a quick video showing Super in action: https://www.youtube.com/watch?v=L5A6BRW90K4 Have you hit such walls with standard MCPs? Have you try building your own solutions? https://super.work May 21, 2025 at 07:48PM
Show HN: I made "Who's Hiring?" searchable using GPT and Metabase I vibe-coded a small project that turns the “Ask HN: Who is hiring?” thread into searchable job data using OpenAI, PostgreSQL, and Metabase. It pulls the thread using the Hacker News API, uses GPT to extract fields like company, role, location, salary, and contact, stores everything in PostgreSQL, and spins up Metabase so you can explore and search the results. Right now it runs locally, but would anyone be interested if I built this out a bit more and made a public dashboard? https://ift.tt/mVp85ts May 21, 2025 at 09:37PM
Show HN: Bricks – One Click Dashboards from Your Data Using AI Hi HN We’ve been building Bricks to make dashboard creation as simple as dropping a file. You upload your data and Bricks does the rest: • Detects the structure • Picks the most useful charts and tables • Generates plain language insights and summaries • Applies a theme • Lets you add blocks using a natural language prompt • Exports to PDF or shares as a live link We built this because creating clean dashboards from spreadsheets felt way harder than it should be. We’d love your feedback on: • How useful the first dashboard feels • Any missing chart types or formats • Anything else that could make it better Thanks for taking a look. https://ift.tt/kmLsI82 May 21, 2025 at 12:39AM
Show HN: Porting Mutable Instruments to Arduino, RP2040 I'm sharing this since it's been eating at me since about 2021 :) A little background and example sounds at https://ift.tt/wB63O8h In short, Volker Boehm had done some ports of the MI synthesis code in 2020, unbeknownst to me. Once I discovered it a bit over a month ago and compiled his supercollider port, I realized, no excuses, get to it. The intention is to keep the source as simple to use in an arduino context, so it's NOT as nice from a c++ developers vantage point. But, I think it's becoming approachable for less adept programmers. Niek from Sluisbrinke has pushed me along, wanting to build a 'Meta-Mi' module: https://ift.tt/y70mf2u I just play these things on my scarp. https://ift.tt/fdRFPDE May 21, 2025 at 12:09AM
Show HN: A native Hacker News reader with integrated todo/done tracking Hey HN! I'm excited to share a tool I've been working on - a native Hacker News reader built with Rust and egui. As a daily HN reader, I've always struggled with keeping track of interesting posts I want to read later. Browser tabs pile up, bookmarks get forgotten, and I lose track of what I've already read. I needed a way to: 1. Browse HN efficiently (across all sections - hot, new, show, ask, jobs, best) 2. Quickly mark posts as "todo" for later reading 3. Mark posts as "done" when finished 4. Filter and search effectively I couldn't find a tool that combined all these features, so I built one. It's been tremendously helpful for my own HN reading workflow, and I thought others might find it useful too. Features: - *Integrated todo tracking*: Mark stories as "todo" and "done" to manage your reading progress - *Search functionality*: Filter stories by keyword in title, domain, or author - *Multiple sections*: Browse all HN sections (hot, new, show, ask, jobs, best) - *Threaded comments*: View comments in a Reddit-like threaded format - *Dark/light mode*: Easy on the eyes in any environment - *Keyboard shortcuts*: Efficient navigation with keyboard-centric design (1-6 for tabs, Ctrl+F for search) - *Auto-loading*: Automatically loads more content when scrolling - *Color-coding*: Stories color-coded by score for easy scanning - *Native app*: Fast, responsive, and works offline with local caching Built with Rust and the egui UI framework, with SQLite for local storage. The app scrapes Hacker News HTML directly rather than using the official API to capture the full story context. Screenshot  Check out the GitHub repo ( https://ift.tt/mBHo7LG ) for installation instructions and source code. Built and tested on macOS, Linux, and Windows. I'd love your feedback, feature suggestions, or contributions! --- This started as a personal tool to solve my own HN reading habits, but I hope others find it useful too. The code is MIT licensed and contributions are welcome. https://ift.tt/4FbuXLt May 19, 2025 at 11:53PM
Show HN: MCP Server for Document Processing via Natural Language Hey, I'm Nick from Nutrient, I want to share our newly released MCP Server that enables document workflows using natural language — things like redacting, merging, signing, converting formats, or extracting data. While many MCP servers have traditionally been developer-focused, we recognized that the technology could be highly effective in promoting the adoption of tools that are often hidden from end-user interfaces. We’re really interested to see if this side of the protocol could continue to mature. One thing we struggled with was the inability to receive documents from the client (no client -> server resource support), thus we had to resort to file system support. (See this GitHub discussion: https://ift.tt/gV0cIS3... ) I’d love to know the communities thoughts on this. It’s designed for Claude Desktop on macOS, but since it’s built on the Model Context Protocol, it’d be interesting to hear of other MCP client use cases. So feel free to reach out! GitHub: https://ift.tt/1qY7AhF NPM: https://ift.tt/pFQWXEV More details + demo video: https://ift.tt/AQqaEHf All thoughts, feedback, and issue reports welcome! :) https://ift.tt/1qY7AhF May 19, 2025 at 10:26PM
Show HN: Python Simulator of David Deutsch’s "Constructor Theory of Time" Hi HN, I turned the freshly published paper “The Constructor Theory of Time” by David Deutsch and Chiara Marletto (arXiv, 13 May 2025) into an executable Python library. What you’ll find • One-to-one translation of the paper’s formalism: Substrates, Attributes, Tasks, Constructors, and task-algebra operators • Possibility / impossibility predicates and counterfactuals encoded exactly as defined • Test suite that mirrors every lemma and example (>95 % coverage, mypy-typed) • Reproductions of key results: time-keeping substrates, irreversibility proofs, quantum branching tasks, and a self-replicating constructor Why share? Reading the paper is tough going; expressing each definition in code clarified the ideas and surfaced a couple of questions for discussion. Hoping it helps others and sparks extensions. Looking for feedback: • Did I miss any subtleties in the formalism? • Which additional theorems or examples would you like implemented next? Repo: https://ift.tt/JG5mZvX Thanks for taking a look—issues and PRs welcome! https://ift.tt/JG5mZvX May 19, 2025 at 01:52AM
Show HN: Stack Error – ergonomic error handling for Rust Stack Error reduces the up-front cost of designing an error handling solution for your project, so that you focus on writing great libraries and applications. Stack Error has three goals: 1. Provide ergonomics similar to anyhow. 2. Create informative error messages that facilitate debugging. 3. Provide typed data that facilitates runtime error handling. https://ift.tt/38IhVmD May 19, 2025 at 12:16AM
Show HN: Vaev – A browser engine built from scratch (It renders google.com) We’ve been working on Vaev, a minimal web browser engine built from scratch. It supports HTML/XHTML, the CSS cascade, @page rules for pagination, and print-to-PDF rendering. It even handles calc(), var(), and percentage units—and yes, it renders Google.com (mostly). This is an experimental project focused on learning and exploration. Networking is basic ( http:// and file:// only), and grid layouts aren’t supported yet, but we’re making progress fast. We’d love your thoughts and feedback. https://ift.tt/67DapgG May 18, 2025 at 11:24PM
Show HN: Blacklight – secret scanner for code, databases, drives, and slack We often ran pattern matching searches for secrets and keys across codebases, databases etc. Therefore, we thought about converting that workflow into a tool that we could just easily generate a SARIF report and share with our customers. Blacklight is a powerful secret, key, and sensitive data scanning tool that helps you detect and prevent sensitive information leaks in your codebase, databases, cloud storage, and communication platforms. The idea is that one can add their custom rules around their governance and compliance requirements. The platform comes with 114 matching criteria, but this can be extended easily. https://ift.tt/jed8twF May 18, 2025 at 12:10AM
Show HN: I built a knife steel comparison tool Hey HN! I'm a bit of a knife steel geek and got tired of juggling tabs to compare stats. So, I built this tool: https://ift.tt/opziyl1 It lets you pick steels (like the ones in the screenshot) and see a radar chart comparing their edge retention, toughness, corrosion resistance, and ease of sharpening on a simple 1-10 scale. [Maybe attach the screenshot here if HN allows, or link to it] It's already been super handy for me, and I thought fellow knife/metallurgy enthusiasts here might find it useful too. Would love to hear your thoughts or any steel requests! Cheers! https://ift.tt/opziyl1 May 17, 2025 at 10:43PM
Show HN: Self-Funded Game with Homemade Engine – Play Online, Steam Coming Hi HN! I’ve been building a 2D game using a custom engine I wrote from scratch – no Unity, no frameworks. It’s fully self-funded and will be released commercially on Steam. Engine source code (MIT): https://ift.tt/hMKrLna I’d love feedback on the gameplay, visuals, performance, or anything else. Thanks! https://bereprobate.com May 17, 2025 at 03:10AM
Show HN: Solidis – Tiny TS Redis client, no deps, for serverless Hey everyone! Over the past two years I threw myself back into full-time engineering with a simple goal: write code that gives back to the community. After a lot of late-night FOMO (“AI will do it all for us, right?”) and some painful production incidents, I finally turned my weekend project into an open-source library. [ What is Solidis ? ] - Super-light (< 30 KB) RESP2/RESP3 client with zero runtime deps and first-class ESM/CJS support. - Fully tree-shakable – import only the commands you need. - Written with SOLID principles & full TypeScript typings for every command. - Designed for cold-start sensitive serverless platforms (small bundle + tiny memory footprint). [ Why I built it ] 1. node-redis & ioredis pain - ESM is still an after-thought. - Hidden deadlocks on RST, vague error surfaces. - Everything gets bundled, even commands you’ll never call. 2. I refuse to add a dependency I don’t fully understand – I literally read candidates 10× before `npm i`. 3. Serverless bills love to remind me that every KB and millisecond matters. [ Key features ] - Protocols: RESP2 and RESP3 (auto-negotiation) - Bundle size: `<30 KB` (core) / `<105 KB` (full) - Dependencies: 0 - Extensibility: Drop-in command plugins, custom transactions - Reliability: Auto-reconnect, per-command timeouts, type-checked replies [ Roadmap / Help wanted ] - Benchmarks against `node-redis` & `ioredis` (PRs welcome!) - More first-class Valkey love - Fuzz-testing the parser - Docs site – the README came first; I’d love help polishing full docs This might be my last big OSS push for a while, so stars, issues, and PRs mean the world . If Solidis saves you some cold-start time or just scratches a TypeScript itch, let me know! Repo: https://github.com/vcms-io/solidis License: MIT Thanks for reading, and happy hacking! (Feel free to AMA in the comments – I’m around.) https://github.com/vcms-io/solidis May 17, 2025 at 02:50AM
Show HN: KVSplit – Run 2-3× longer contexts on Apple Silicon I discovered that in LLM inference, keys and values in the KV cache have very different quantization sensitivities. Keys need higher precision than values to maintain quality. I patched llama.cpp to enable different bit-widths for keys vs. values on Apple Silicon. The results are surprising: - K8V4 (8-bit keys, 4-bit values): 59% memory reduction with only 0.86% perplexity loss - K4V8 (4-bit keys, 8-bit values): 59% memory reduction but 6.06% perplexity loss - The configurations use the same number of bits, but K8V4 is 7× better for quality This means you can run LLMs with 2-3× longer context on the same Mac. Memory usage scales with sequence length, so savings compound as context grows. Implementation was straightforward: 1. Added --kvq-key and --kvq-val flags to llama.cpp 2. Applied existing quantization logic separately to K and V tensors 3. Validated with perplexity metrics across context lengths 4. Used Metal for acceleration (with -mlong-calls flag to avoid vectorization issues) Benchmarked on an M4 MacBook Pro running TinyLlama with 8K context windows. Compatible with Metal/MPS and optimized for Apple Silicon. GitHub: https://ift.tt/lrwKBMp https://ift.tt/lrwKBMp May 17, 2025 at 01:34AM
Show HN: Inconveniently operating my computer with voice and hand gestures Introducing Iron OS: it's like a regular computer, but much more inconvenient Created with threejs, rosebud AI, web speech API, and mediapipe computer vision Any feedback would be appreciated! I've been having fun experimenting with computer vision and voice control lately. https://twitter.com/measure_plan/status/1923452731248795856 May 17, 2025 at 12:46AM
Show HN: Easel – Code multiplayer games like singleplayer For the past 3 years, I've been creating a new 2D game programming language where the multiplayer is completely automatic. The idea is that someone who doesn't even know what a "remote procedure call" is can make a multiplayer game by just setting `maxHumanPlayers=5` and it "just works". The trick is the whole game simulation, including all the concurrent threads, can be executed deterministically and snapshotted for rollback netcode. Normally when coding multiplayer you have to worry about following "the rules of multiplayer" like avoiding non-determinism, or not modifying entities your client has no authority over, but all that is just way too hard for someone who just wants to get straight into making games. So my idea was that if we put multiplayer into the fabric of the programming language, below all of your code, we can make the entire language multiplayer-safe. In Easel the entire world is hermetically sealed - there is nothing you can do to break multiplayer, which means it suits someone who just wants to make games and not learn all about networking. I've had people make multiplayer games on their first day of coding with Easel because you basically cannot go wrong. There were so many other interesting things that went into this project. It's written in Rust and compiled to WebAssembly because I think that the zero-download nature of the web is a better way of getting many people together into multiplayer games. The networking is done by relaying peer-to-peer connections through Cloudflare Calls, which means Cloudflare collates the messages and reduces the bandwidth requirements for the clients so games can have more players. I also took inspiration from my experience React when creating this language, here's how you would make a ship change color from green to red as it loses health: `with Health { ImageSprite(@ship.svg, color=(Health / MaxHealth).BlendHue(#ff6600, #66ff00)) }` There is a lot of hidden magic that makes the code snippet above work - it creates a async coroutine that loops each time Health sends a signal, and the ImageSprite has an implicit ID assigned by the compiler so it knows which one to update each time around the loop. All of this lets you work at a higher level of abstraction and, in my opinion, make code that is easier to understand. Speaking of async coroutines, my belief is that they don't get used enough in other game engines because their lifetimes are not tied to anything - you have this danger where they can outlive their entities and crash your game. In Easel each async task lives and dies with its entity, which is why we call them behaviors. Clear lifetime semantics makes it safe to use async tasks everywhere in Easel, which is why Easel games often consist of thousands of concurrently-executing behaviors. In my opinion, this untangles your code and makes it easier to understand. That's just the beginning, there is even more to talk about, it has been a long journey these past 3 years, but I will stop there for now! I hope that, even for those people who don't care about the multiplayer capabilities of Easel, they just find it an interesting proposal of how a next-generation game programming language could work. The Editor runs in your web browser and is free to play around with, so I would love to see more people try out making some games! Click the "Try it out" button to open the Sample Project and see if you can change the code to achieve the suggested tasks listed in the README. https://ift.tt/rl9xqfX May 14, 2025 at 04:01PM
Show HN: AsianMOM – WebGPU Vision-LLM app that roasts you like ur mom in-browser Randomly got inspired yesterday seeing SmolVLM working on WebGPU and had the silly idea for this project. it's not perfect and super limited because of the current limitations of WebML (and admittedly, because I suck at prompting, but that's why it's Open Source haha) but it is 1.5B WORTH OF AI (SmolVLM 500M and LLama 3.2 1B) working RIGHT IN YOUR BROWSER with you not having to install anything! In fact, the whole thing is actually just an index.html that you can install and even use directly! It might be a little bit slow on first try (takes about 3 mins) when it installs models, but it caches it so it's way faster the second time (also, it's available offline after it's cached haha) Works on any modern web browser It may be a funny little project, but it's genuinely taught me so much about WebML and Vision models, and the technologies we're getting with WebML will 100% democratize AI access and make it way simpler and easier to be used everywhere :p GH Repo in case you're interested: https://ift.tt/Xhlm0Oj https://ift.tt/ewQyUqj May 16, 2025 at 12:50AM
Show HN: Doxxer – CLI tool for dynamic SemVer versioning using tags Hi, first time poster here! Wanted to share a small CLI utility in Rust: doxxer! It is a tool for working with Git repositories, more specifically, extracting and calculating current/upcoming semantic versions for your repo's tags. It is heavily inspired by the output from "git describe --tags". Why use anything else then? The output is not fully SemVer compliant and therefore I was modifying it in all my projects separately, which I wanted to avoid. Single binary, single predictable output. It does not currently have pre-built binaries, so you have to install it via cargo, but it's in the roadmap! https://ift.tt/0Xlg9xT May 14, 2025 at 08:40PM
Show HN: LTXV 13B Distilled – Generate 5s Videos in Under 10s Hey HN, after our 13B release we've been working on a faster version of our open-source video model and we're excited to share it. We started with a 13B base model that already had competitive generation speeds (e.g. 55s for a 5s video on an H100 — faster than any other model out there). But we wanted to push it further to allow everyone to quickly iterate over their video generations. So we built a distilled version focused on speed without sacrificing temporal or spatial coherence. With the Distilled model, you can now generate 5-second 720p videos in about 9.5 seconds on an H100, and around 1.5 minutes on a consumer GPU like an RTX 5090. Because the base and distilled models are interoperable, you can mix and match them in a single rendering pipeline. That gives you three modes: - Distilled Pipeline: Fastest. Uses just 4–8 steps end to end. Ideal for rapid iteration and experimentation (~9.5 seconds on H100, ~1.5 min on RTX 5090). - Mixed Pipeline: Starts with the base model to capture accurate motion, physics, and detail, then switches to distilled at higher resolutions for faster rendering. A good middle ground. (~20s on H100, ~2.5 min on RTX 5090) - Base Pipeline: Full-fidelity generation from start to finish. Best quality, best for final renders. (~43s on H100) All pipelines are compatible with our multiscale rendering system, which allows you to first render a lower resolution video and upscale it as needed. The project is open source and available on GitHub ( https://ift.tt/p1YUQxw ) and Hugging Face ( https://ift.tt/wblgGWn ). You can also enjoy our Comfy integration here ( https://ift.tt/gdlwztp ) and our open source LTXV trainer ( https://ift.tt/lNdBrM4 ). Would love to hear your thoughts — especially around performance, integration into your own tools or workflows, or any creative uses you're exploring. We're actively working on tuning and adding new configurations, and early feedback is super helpful. https://ift.tt/Itrq6mk May 14, 2025 at 11:08PM
Show HN: Litelytics – A nice GA4 dashboard (better Looker Studio) My friend and I built Litelytics, a clean, simple Google Analytics(GA4) dashboard that looks great and works out of the box. No BigQuery, no setup—just connect and go. Would love your feedback! https://litelytics.io/ May 14, 2025 at 12:59AM
Show HN: Put macros.menu/ in front of any restaurant menu URL I’ve been tracking my macros every day since January 1st. Weighing and measuring at home is a breeze but eating out is a total pain. I built this tool for myself but a lot of likeminded people have loved it. Please note macros are estimated by gen AI. Image menus not supported yet. https://macros.menu May 14, 2025 at 12:49AM
Show HN: Helixdb – Open-source vector-graph database for AI applications (Rust) Hey HN, we want to share HelixDB ( https://ift.tt/aLuxfJc ), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://ift.tt/4ZWaV35 . Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g. key-value stores vs. node-and-edge tables). However, many AI-driven applications need both similarity and relationship queries. For example, you might use vector-based semantic search to retrieve relevant legal documents, and then use graph traversal to identify relationships between cases. Developers of such apps have the quandary of needing to build on top of two different databases—a vector one and a graph one—plus you have to link them together and sync the data. Even then, your two databases aren't designed to work together—for example, there’s no native way to perform joins or queries that span both systems. You’ll need to handle that logic at the application level. Helix started when we realized that there are ways to integrate vector and graph data that are both fast and suitable for AI applications, especially RAG-based ones. See this cool research paper: https://ift.tt/1TUSvW3 . After reading that and some other papers on graph and hybrid RAG, we decided to build a hybrid DB. Our aim was to make something better to use from a developer standpoint, while also making it fast as hell. After a few months of working on this as a side project, our benchmarking shows that we are on par with Pinecone and Qdrant for vectors, and our graph is up to three orders of magnitude faster than Neo4j. Problems where a hybrid approach works particularly well include: - Indexing codebases: you can vectorize code-snippets within a function (connected by edges) based on context and then create an AST (in a graph) from function calls, imports, dependencies, etc. Agents can look up code by similarity or keyword and then traverse the AST to get only the relevant code, which reduces hallucinations and prevents the LLM from guessing object shapes or variable/function names. - Molecule discovery: Model biological interactions (e.g., proteins → genes → diseases) using graph types and then embed molecule structures to find similar compounds or case studies. - Enterprise knowledge management: you can represent organisational structure, projects, and people (e.g., employee → team → project) in graph form, then index internal documents, emails, or notes as vectors for semantic search and link them directly employees/teams/projects in the graph. I naively assumed when learning about databases for the first time that queries would be compiled and executed like functions in traditional programming. Turns out I was wrong, but this creates unnecessary latency by sending extra data (the whole written query), compiling it at run time, and then executing it. With Helix, you write the queries in our query language (HelixQL), which is then transpiled into Rust code and built directly into the database server, where you can call a generated API endpoint. Many people have a thing against “yet another query language” (doubtless for good reason!) but we went ahead and did it anyway, because we think it makes working with our database so much easier that it’s worth a bit of a learning curve. HelixQL takes from other query languages such as Gremlin, Cypher and SQL with some extra ideas added in. It is declarative while the traversals themselves are functional. This allows complete control over the traversal flow while also having a cleaner syntax. HelixQL returns JSON to make things easy for clients. Also, it uses a schema, so the queries are type-checked. We took a crude approach to building the original graph engine as a way to get an MVP out, so we are now working on improving the graph engine by making traversals massively parallel and pipelined. This means data is only ever decoded from disk when it is needed, and parts of reads are all processed in parallel. If you’d like to try it out in a simple RAG demo, you can follow this guide and run our Jupyter notebook: https://ift.tt/Tob6Wql... Many thanks! Comments and feedback welcome! https://ift.tt/aLuxfJc May 13, 2025 at 10:56PM
Show HN: GS-Base – A multifunctional database tool with Python integration A wide range of possible use: from simple contact/inventory lists, photo albums to editing CSV/text files and processing (transforming, splitting, merging, normalizing) large, multi-GB data tables in various file formats. Text, Numeric, Long Text / Memo fields, Image / File fields; Code fields for code snippets with syntax highlighting for 16 programming languages. You can analyze, query and consolidate data, generate pivot tables, perform calculations, merges and joins with up to 256 million rows, 16K columns and 4GB+ files efficiently using even older PC's. Several filtering methods, searching for duplicates, for unique values and their frequencies, search-as-you-type, random and quartile searches, full-text searches, fuzzy searches. RegEx filtering of millions of records in seconds regardless of the number of the returned found records. Searching for file duplicates, finding similar photos/images, music and video files using any EXIF tags and multimedia (e.g. mp3/mp4) tags. Playing filtered lists of mp3's. Very fast data consolidation - you don't have to bother with permanent indices; internal indexes are created automatically whenever aggregation and binary lookup functions need them. Generating disk/folder listings and monitoring all file changes with searchable history of modifications. Mass-renaming, -copying and -deleting files based on filtered file listings. GS-Base can be installed on any portable storage device and used without performing any registry modifications. Fully offline - doesn't need internet connection. To move it to another computer you can simply copy the installation folder containing a few files. Questions and suggestions are welcome. https://ift.tt/fgaGEZe May 13, 2025 at 02:32AM
Show HN: Jester – An RSS/Atom Reader and Content Management Tool Jester helps you follow and organize feeds, create AI text and audio digests (with sourcing), build custom feeds from non-RSS sources, and more. It is built to have most of the features you would expect from a modern RSS reader (with more on the way), but with an eye towards feed discoverability through popularity metrics and topic tagging. You can try it out with one click (no email registration/etc. required). Any feedback/questions/suggestions is very welcome! Edit: See https://ift.tt/87VpMX9... for an example digest you can create. https://ift.tt/Tr5ksMS May 13, 2025 at 12:52AM
Show HN: Lumoar – Free SOC 2 tool for SaaS startups We built Lumoar to help small SaaS teams get SOC 2-ready without paying thousands for Big 4 consultants or dealing with bloated compliance platforms. As a startup ourselves, we faced the usual issues: long security questionnaires, confusing audit requirements, and expensive tools that felt overkill. Lumoar is a simpler alternative: - Generate compliant SOC 2 policies automatically - Track your controls and progress in a clean dashboard - Upload evidence and get plain-language recommendations - Designed for engineers and founders, not compliance pros It's free to start — you can generate policies and explore the dashboard without a sales call or demo. Would love to hear what blockers you’ve faced with SOC 2 and what other frameworks you’re thinking about (e.g., ISO 27001, GDPR). All feedback is welcome. https://www.lumoar.com May 13, 2025 at 12:35AM
Show HN: The missing inbox for GitHub pull requests Mergeable is an improved inbox for GitHub pull requests. They can be organized according to your rules into any number of sections, each section being defined as an arbitrary search query. Data is refreshed periodically, and is kept locally in the browser. Mergeable is an open source project, which can be self-hosted very easily. A free public instance is also available to get started very quickly. https://ift.tt/61rv2Rz May 12, 2025 at 10:59PM
Show HN: AI-powered batch photo editor for real estate photographers I got tired of repetitive editing tasks, so I built a tool that simplifies bulk edits using text prompts and AI workflows. Now I can quickly handle things like virtual staging, changing backgrounds, adding/removing objects, adjusting brightness and exposure, color corrections, boosting contrast and clarity, fixing distortions, batch color grading and much more! But most importantly, I can do this to all selected images, tens, hundreds or more. I'm particularly interested in feedback on the workflow and UI from photographers/editors who handle large volumes of images. I've increased the free plan credits to 40 so you can edit up to 40 images, if you'd like to help me trial it out. Otherwise I'm happy to answer any questions about the implementation or roadmap. https://4ditor.com/ May 9, 2025 at 06:38AM
Show HN: Hackergrep.com – search Hacker News for tech jobs Hey HN, I built https://hackergrep.com and I think it's ready for some attention. What is it: I wanted a fast, flexible, and focused job search tool to find new tech jobs and I didn't see anything that really fit my needs, so I built this app because you can just do things. HackerGrep indexes several recent threads on HackerNews and combines the results into a feed matching your desired search filter criteria. The system can send you daily email updates when new search results for your queries are available; opt-in search query emails are sent for 30 days and then automatically stopped. New job alert emails are batched and sent daily, so you'll get one email per alert you configure until you unsubscribe or the 30 days are up. Key features: > no banner ads / clutter. > it's free to use. > no accounts/logins needed. > advanced search syntax and full-text search. > can notify you about new jobs matching your queries via email. > the search and alert emails always show the most recent results first. (To report bugs, suggest parser/logic improvements, offer me a job, or just say hi, etc, you can find my contact info on the https://ift.tt/tQ42ZGW page) You can try it from any web browser. It's optimized for desktops or tablets with a reasonable screen size but should function anywhere. https://hackergrep.com https://hackergrep.com May 10, 2025 at 11:42PM
Show HN: PLAttice, for assembling structures much larger than the 3D printer bed Struts, nodes, and pins are reversibly assembled into fully 3D printed lattices, trusses, and tree-like structures spanning up to a few meters. I used the system to build a stand for an overhead table lamp which supports a ~1 m cantilevered arm using a tensioned floor-to-ceiling column. If you want to give it a try, find the *.stl files at the bottom of the page; figure ~1 kg of PLA and ~1 day of print time per meter of box truss; pay attention to print orientation; plz respect the license; and definitely print the pin trimming jig. https://ift.tt/Gjtox2d May 11, 2025 at 01:48AM
Show HN: Miralis – a RISC-V virtual firmware monitor Miralis is a RISC-V firmware that virtualizes RISC-V firmware. In other words, it runs firmware in user-space (M-mode software in U-mode). The fact that this is even possible is interesting: indeed, not all ISAs are virtualizable, and the same applies for their firmware mode. It all boils down to the virtualization requirements [1], which is a great read if you haven't come across it yet. Arm's EL3 cannot be virtualized, for instance, because some instructions, such as `cpsid`, are sensitive but do not trap (`cpsid` is a nop in user-space). If you have a VisionFive 2 or a HiFive Premier P550, you can try it out, the instructions are in the documentation [2, 3]. Of course, it runs on QEMU too. As Miralis is a research project, we have also been using it as a vehicle to explore other research ideas, such as automated verification of hypervisors [4]. For instance, we verified instruction emulation by comparing Miralis' implementation with the reference RISC-V executable specification [5], which we translated to Rust. It has been fun working on Miralis, I hope you'll find it interesting too! [1]: https://ift.tt/xp7HJyG [2]: https://ift.tt/DF74O29... [3]: https://ift.tt/7hJWwHu... [4]: https://ift.tt/TxuBmjg... [5]: https://ift.tt/qV4Dyuf https://ift.tt/BZqO4x3 May 10, 2025 at 11:28PM
Show HN: Piny – Astro, React and Next Visual Editor for VSCode, Cursor, Windsurf Hi, Matjaz here. Piny is a visual editor that runs directly in Visual Studio Code, Cursor and Windsurf. It supports Tailwind CSS, Astro, React and Next.js. All edits happen directly in the code, so there are no abstractions, no cloud services and no lock-in. Piny doesn’t try to be all-in-one visual editor that would cover layout creation, styling, data, logic… That is no longer relevant in the age of AI coding agents. Instead, Piny focuses on two areas where it can really add value: # Tailwind styling Piny lets you easily style JSX / HTML with Visual Controls and Class Inspector (an editable tree view of all classes and states). This also works with any strings that contain Tailwind classes. For visual tasks (such as changing the text size) it is often much easier to directly change a visual property than to go back and forth about it with your AI agent. # Project navigation Navigate the project code by selecting elements directly in the built-in browser preview. Just click on a heading, image, icon, section etc in the preview and its source element is selected in Piny and in the code. This feature requires a small dev-only script to be inserted into the layout. React with Vite, any Next.js and Astro projects are supported at this time. Piny is based on Pinegrow Web Editor, our desktop visual editor for static HTML & WordPress that we’ve been actively developing for more than a decade. This makes Piny feature complete and robust, it’s not a MVP. # Piny Free and Pro The standard edition is completely free. You don’t even have to sign up. Just install it from the extension marketplace and you’re ready to go. Piny Pro adds Visual select (Project navigation, mentioned above), custom Tailwind theme import and other goodies. We’re running an Early Access deal with 60% discount that you get to keep forever. # Visual tools in the age of AI A lot has changed in web development. When Pinegrow was launched here on HN 11 years ago, Bootstrap was a shiny new framework. Today, visual tools should be designed to complement AI assisted development. This principle is reflected in Piny: - It runs in your IDE, where you already work - All changes happen in the code - Uses visual tools for visual tasks - Helps you jump to the relevant component / element in the code so that you can then edit it visually, in code or with AI - Piny is there when you need it and gets out of your way when you don’t # Getting started To take Piny for a spin, install it from extension marketplace, right-click anywhere in your code and choose “Edit in Piny”. Pro trial version is included if you want to try Visual select. Let me know if you run into any issues, or just want to get in touch! https://getpiny.com May 10, 2025 at 06:52AM
Show HN: Kivo – AI Canvas for Data Reports Our goal is to make the best tool for turning raw data into clean, insightful reports. We think data interfaces now are outdated, and chat UIs lack usability. Kivo is an AI powered text editor, that can help you turn, Excels, PDFs, and CSVs into insightful reports fast. - Clean and format your data - Generate complete first drafts, ready with charts and insights - Combine insights from multiple files, including PDFs and the web Give it a try for free. Any feedback is welcome! https://kivo.dev May 10, 2025 at 01:06AM
Show HN: Embracing the Chaos of Random Workouts This might look like just another workout app but my past weeks of dogfooding with it has at least spiced up my own home workouts and added some extra flavor to gym workouts. You can try it out without signing up and all feedback is welcome. https://ift.tt/NWqAZRg May 8, 2025 at 11:24PM
Show HN: Tree-walk interpreter (and formatter) written in C Hello HN, this is my first "completed" project since I took on this coding journey. Vern is a statically typed scripting language with lots of rough edges. You can try it out at https://vern.cal31.dev You can find the source code and some documentation at https://ift.tt/V3pSvzI https://ift.tt/V3pSvzI May 8, 2025 at 10:30PM
Show HN: A new social network just for AI memes Hi HN, We're making a new social network for AI-generated videos. While AI films are still a few years away, the niche of re-lipsynced AI videos is rampant and perhaps the fastest growing form of AI-generated content. Re-dubbed TV shows and movies are doing 10s of millions of views and have become their own new meme-format. In the last 7 days, videos made on the app did 1.1m views! We made eggnog.ai/remix for this reason. You can use the product to make funny videos to send to friends (cartoon remixes take < 20s to make) and live-action take 1-2 minutes (no sign-up required to make something). We also just launched our mobile app where you can reserve a username and see what other people are making! The mobile app feed is also a bit more real-time. You can download the app here: https://apps.apple.com/us/app/scenemix-voice-ai/id6742719343 We would love to hear your feedback HN :) https://www.eggnog.ai/remix May 8, 2025 at 02:38AM
Show HN: Cloi – free local debugging agent in your terminal Hey everyone! For the past two weeks my friend and I have been heads-down building Cloi, a fully local debugging agent that runs right in your terminal. You probably know the drill—every AI coding tool asks for API keys, subscriptions, and uploads your entire codebase to the cloud. Cloi does none of that: it runs entirely on your machine, with no cloud, no API keys, no subscriptions, and zero data leaving your system. What Cloi does: - Contextual error capture: Grabs your stack trace, local files, and environment to understand the issue. - Local LLM inference: Spins up Ollama on your box and generates targeted fixes—no external servers. - Safe patch application: Presents you with diffs and only applies changes when you explicitly approve. - Model‐agnostic: Ships with Phi-4 out of the box (surprisingly capable for its size!), but you can swap in any Ollama model you’ve installed. Why we built it: - Maintain full control over your code and data—ideal for security-sensitive projects - Avoid recurring subscription fees and cloud vendor lock-in - Keep your development flow entirely offline when you need it Highlights: We hit 202 stars in just 5 days, which tells us we're not the only ones who wanted this! Cloi is plug-and-play (just install and run), and we designed it to be completely unopinionated, meaning you can you whatever Ollama model you want. Get it now: npm install -g @cloi-ai/cloi If you find Cloi useful, we’d really appreciate a star on GitHub. Try it out, let us know what you think, and happy debugging! — Gabriel Cha & Mingyou Kim https://ift.tt/debfIpr May 7, 2025 at 10:55PM
Show HN: Kevin-32B – how to do multi-turn RL on writing CUDA kernels Hey – we just published a blog post about Kevin-32B = K(ernel D)evin. It's to our knowledge the first open-source model that's RL-trained on CUDA kernels. Our goal was to demonstrate multi-turn RL using GRPO. We used 180 Python->CUDA conversion tasks from the KernelBench dataset. The results were surprisingly strong! We were able to outperform top reasoning model like o3 & o4-mini. We're sharing our training setup and learnings in the blogpost. Also the model is on HuggingFace: https://ift.tt/4P2c0Bj https://ift.tt/2TYWtkZ May 7, 2025 at 01:18AM
Show HN: X402 – an open standard for internet native payments Hi HN – excited to announce x402, initially developed by Coinbase (YC 12) x402 lets any HTTP API charge per request without issuing API keys or storing credit cards. Buyers (humans or AI agents) keep funds in their own wallet and dynamically discover compatible endpoints, call them as usual, and automatically pay a microtransaction in USDC or other tokens to settle. 90 second demo: https://www.youtube.com/watch?v=PV-L2AfLhJg Problem: Every time we want to use a new API we have to: find the service online create a developer account, copy a secret key into env vars, pre-fund or hand over a credit card This flow blocks agents even more. They can’t solve CAPTCHAs or enter credit cards. It also hurts sellers: fraud, chargebacks, onboarding friction, and marketing to humans are huge pain points. Why buyers care Zero setup – Hit a new endpoint immediately. Runtime discovery – Because every x402 service exists in a common registry, an agent can search, compare, and invoke in one loop. Self-assembling agents become practical. Easily create proxy servers – Want an endpoint that isn’t supported? You can use our proxy server template to spin up an x402-compatible instance yourself using traditional API keys, and monetize it for others wanting access. Why sellers care Reach incremental demand – Long-tail bots, side projects, one-off scripts, all of which too small for an account/signup flow, can now pay you. Micropayments without fraud – All payments settle onchain, nothing for stolen credit cards or chargebacks to reverse. Embedded distribution – instead of marketing to humans, create a compelling service meeting demand for agents and watch the requests roll in. How we got here Last year we launched AgentKit (wallets for AI agents). Tens of thousands of agents now hold onchain balances, but they can’t pay for most web services. We revived the long-unused HTTP 402 (“Payment Required”) status code and wrote a spec to make it real. Marc Andresseen calls the lack of native value transfer “the original sin of the internet,” and we see x402 as the absolution of this sin. How it works: x402 specifies a standard response body to accompany a 402 status code. This response body contains machine understandable instructions for how to pay. Payments are signature based an included as an `X-PAYMENT` header in a subsequent request to the same API endpoint. The accepting server can verify and settle payment themselves, or delegate the onchain settlement to what we call a facilitator. This means you don't have to touch crypto as a developer, you can just integrate a middleware and start receiving stablecoin payments in as little as 1 line of code. Because x402 natively traverses your existing client / server requests, it can be implemented in any language, and doesn't require webhooks, or any other complex integration. Its literally this simple: `paymentMiddleware("0xYourAddress", {"/your-endpoint": "$0.01"})` Ask HN API providers – does the one-line integration fit your stack? What’s missing? Agent / infra builders – if a service isn’t available is the proxy server template sufficient? File issues, PRs welcome Everyone – poke holes in the trust and fee model; we’d love to iterate with your feedback Curious to learn more? Check out our documentation and repo for more information, and please don’t hesitate to reach out to get onboard. https://ift.tt/H9Me3Cd https://x402.org https://ift.tt/vg2LT0q... https://www.x402.org/ May 6, 2025 at 11:54PM
Show HN: Fast parser and generator for RSS, Atom, OPML and popular namespaces Hi HN! While working on a project that involves frequently parsing a lot of feeds, I needed a fast JavaScript-based parser to extract specific fields from feed namespaces. Existing Node packages were either too slow or merged all feed formats, losing namespace information. So I decided to write it myself and created this NPM package with a simple API. Feedsmith supports all feed formats and many popular namespaces, including: Podcast, Media, iTunes, Dublin Core, and more. It can also parse and generate OPML files. I am currently adding support for more namespaces and feed generation for RSS, Atom and RDF. The library grew into something bigger than I initially anticipated, so I also started creating a dedicated documentation website to describe all the features. https://ift.tt/e92EOks May 6, 2025 at 11:33PM
Show HN: Tired of bloated time trackers? Here's a dead-simple, free one I built Hey HN! I made TimeAnt because my dad needed a simple way to track his time at work and he didn’t like the other apps out there because they were too complicated or had way too many features. So, I built an app that just does the basics: track work hours, meetings, breaks, lunch and optionally lets you add notes - and that's it. It’s totally free, works both online and offline, and doesn’t require an account (but you can create one if you want). The goal was to keep it super simple and let you focus on tracking time without all the fluff. It also gave me a chance to learn Swift and build my first native iOS app! I’d love to hear what you think! Best, Viktor https://ift.tt/z75qonx May 6, 2025 at 01:21AM
Show HN: I built a mini macOS app to reveal my yearly subscription spending I built a macOS app to track my subscriptions after realizing I was spending over $XXXX annually on services I barely used. I wanted a simple, privacy-focused tool to help me stay on top of recurring charges without relying on third-party integrations or sharing financial data. Key Features: – Visual Calendar: See all upcoming charges in a monthly view. – Custom Notifications: Set reminders for upcoming payments. – Highlights: Flag subscriptions as annual, trial, or one-time. – Statistics: View projected yearly spending, average monthly costs, and peak spending months. – Custom Categories: Organize subscriptions with user-defined categories. – Multi-Currency Support: Convert prices on the fly to your preferred currency. – Status Management: Mark subscriptions as active or canceled, with accurate updates in your stats. – Quick Addition: Start typing a service name, and the app auto-suggests logos, categories, and colors. – Import and export data The app is free to use with some limitations. I’m currently working on additional features and would appreciate any feedback or suggestions from the community. https://ift.tt/5k90fWo May 5, 2025 at 11:31PM
Show HN: Open-lmake, a scalable, reliable build system with auto dep-tracking Hello Hacker News, I often hear people saying "all build-systems suck", an opinion I have been sharing for years, and this is the motivation for this project. I finally got the opportunity to make it open-source, and here it is. In a few words, it is like make, except it can be comfortably used even in big projects using HPC (with millions of jobs, thousands of them running in parallel). The major differences are that: - dependencies are automatically tracked (no need to call gcc -M and the like, no need to be tailored to any specific tool, it just works) by spying disk activity - it is reliable : any modification is tracked, whether it is in sources, included files, rule recipe, ... - it implements early cut-off, i.e. it tracks checksums, not dates - it is fully traceable (you can navigate in the dependency DAG, get explanations for decisions, etc.) And it is very light weight. Configuration (Makefile) is written in Python and rules are regexpr based (a generalization of make's pattern rules). And many more features to make it usable even in awkward cases as is common when using, e.g., EDA tools. Give it a try and enjoy :-) https://ift.tt/xH2MsOF May 3, 2025 at 09:41PM
Show HN: Traycer.ai – Turn GitHub Issues into a Step-by-Step Plan Hey everyone! We've built Traycer, a tool that transforms your GitHub issues—everything from descriptions and attached images to ongoing conversations—into clear, actionable implementation plans. You can easily import these plans into your IDE with our extension or use them with any other coding assistant you prefer. We'd love to hear your thoughts and feedback. Traycer is totally free for open-source projects, and we've got a 2-week free trial if you're working with private repos. Give it a try and let us know what you think! https://ift.tt/38e0HSX May 3, 2025 at 01:56AM
Show HN: I built a synthesizer based on 3D physics and launched the product I've been working on the Anukari 3D Physics Synthesizer for a little over two years now. It's one of the earliest virtual instruments to rely on the GPU for audio processing, which has been incredibly challenging and fun. In the end, predictably, the GUI for manipulating the 3D system actually ended up being a lot more work than the physics simulation. So far I am only selling it direct on my website, which seems to be working well. I hope to turn it into a sustainable business, and ideally I'd have enough revenue to hire folks to help with it. So far it's been 99% a solo project, with (awesome) contractors brought in for some of the stuff that I'm bad at, like the 3D models and making instrument presets/videos. The official launch announcement video is here: https://www.youtube.com/watch?v=NYX_eeNVIEU But if you REALLY want to see what it can do, check out what Mick Cormick did with in on the first day: https://ift.tt/TpXA4PR I've kept a fairly detailed developer log about my progress on the project since October 2023, which might be of interest to the hardcore technical folks here: https://ift.tt/RN512oB I also gave a talk at Audio Developer Conference 2023 (ADC23) that goes deep into a couple of the problems I solved for Anukari: https://www.youtube.com/watch?v=lb8b1SYy73Q https://anukari.com May 2, 2025 at 11:42PM
Show HN: Blast – Fast, multi-threaded serving engine for web browsing AI agents Hi HN! BLAST is a high-performance serving engine for browser-augmented LLMs, designed to make deploying web-browsing AI easy, fast, and cost-manageable. The goal with BLAST is to ultimately achieve google search level latencies for tasks that currently require a lot of typing and clicking around inside a browser. We're starting off with automatic parallelism, prefix caching, budgeting (memory and LLM cost), and an OpenAI-Compatible API but have a ton of ideas in the pipe! Website & Docs: https://ift.tt/nWNjFZQ https://ift.tt/kWmuCgx MIT-Licensed Open-Source: https://ift.tt/Pn5iY8c Hope some folks here find this useful! Please let me know what you think in the comments or ping me on Discord. — Caleb (PhD student @ Stanford CS) https://ift.tt/Pn5iY8c May 2, 2025 at 11:12PM
Show HN: Lichen – Manage and create code licenses on the CLI and with TOML Hey! I'm Miles, I built this tool to be a fast and reliable solution for generating licenses on the CLI. Licensing has always been a point of stress for me, with how much is at stake. If I copy one from the wrong website, the version I download is the wrong one, or any number of mishaps, my whole code is at risk. We see this fiasco play out all the time. We shake our saddened heads and go on. No longer! Lichen is designed to generate licenses sensibly with three words on the CLI. `lic gen MIT`. Or in a `.lichen.toml` in your project root. Add authors/maintainers with --authors, date it with --date, license specific parts with exclude patterns and double licenses. Project big or small, it's got everything (I think). (Tell me what it's missing please). It uses SPDX licenses for correctness. Written in Rust, you'll know you're safe, and if you want to be extra cautious, feel free to create license headers on all your files (Fast too! Can do this for the entire cargo project in 22s uncached). I'm happy to answer any questions/concerns/whatever about my tool, it's my biggest project to date (And therefore my most bug-ridden...) https://ift.tt/oLYQKEp May 1, 2025 at 10:25PM
Show HN: Keyboard Minesweeper – Speedrun the Classic, No Mouse Needed Hi HN! Here's a little hobby project of mine. I reimagined Minesweeper for the keyboard warriors out there. No mouse. No distractions. Just lightning-fast gameplay, tight controls, and a design built for speedrunners and puzzle lovers. Give it a try: https://ift.tt/HNX086L Would love your feedback, or see if you can beat my best times: 5.41s on small, 46.51s on medium. https://ift.tt/HNX086L May 1, 2025 at 01:29AM
Show HN: Jarvis-AI, an AI Agents network that kills admin work in big corporate Cheers HN, We're Oli and Pascal, two friends from ETH Zürich. We built a network of AI Agents for large organisations, that finally gets rid of all admin work for employees. Current features are: - Schedule, move or cancel meetings (via Google Calendar or locally) - Dynamically adapt meetings according to stakeholders’ availabilities (internal communication of the agents) - Summarize incoming mails (via Gmail) - Create a project plan (command: plan XXX = [project description]) including stakeholders, timeline and cost estimate - Plan, assign and view tasks - Do all of the above via audio We believe that the network point is the core of the product. If you're planning a new project, Jarvis should not only give ideas but also propose whom to work with based on the context information of all the other Jarvises in the company. Instead of sending mails, information flow happens between the Agents and the audio feature makes it super natural to speak to your Jarvis. This is very early stage, so any advice/feedback is much appreciated :) https://ift.tt/cxg20CZ May 1, 2025 at 12:19AM
Show HN: The $300K DevinAI Secret is Now Open Source You’ve probably heard of DevinAI’s new release, DeepWiki-a tool that analyzes GitHub repos and generates AI-powered documentation. The catch? It reportedly cost $300K in compute and is locked behind a paywall. I thought: why not make this accessible to everyone? Introducing Open DeepWiki: An open-source, self-hosted alternative that turns any GitHub repo into a comprehensive wiki with AI-generated docs, architecture diagrams, and code explanations. No cloud lock-in, no paywalls, just local, private analysis. Features: AI-generated documentation (supports GPT, Gemini, and local models) Visual diagrams (using Mermaid.js) Codebase Q&A with RAG-powered AI Works with private repos, runs entirely on your machine Repo: https://ift.tt/lzWOMoZ https://ift.tt/lzWOMoZ April 30, 2025 at 09:07PM
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