Sunday, November 30, 2025
Show HN: Free AI Coding with Open Source and Deca Models https://ift.tt/rOCFHtK
Show HN: Free AI Coding with Open Source and Deca Models Built this because AI coding shouldn't cost hundreds per month. It's Cline with free Open Source and Deca models plus cost tracking for when you need GPT-5/Claude. The free tier handles 70% of daily coding. Try it: https://ift.tt/jVCS7ED You can use a demo email and password for testing: (demo: agentica@genlabs.dev / agentica@123) Looking for feedback on where the free models fall short. Building sustainable AI tools for developers. https://ift.tt/jVCS7ED December 1, 2025 at 02:21AM
Show HN: Memory Lane – bootstrap your naive Claude instances with their history https://ift.tt/Wef50SE
Show HN: Memory Lane – bootstrap your naive Claude instances with their history https://ift.tt/2ryKd7Q December 1, 2025 at 01:04AM
Show HN: I Built Tinyfocus – A Minimal Tool to Help Solo Founders Focus https://ift.tt/zMAjIxo
Show HN: I Built Tinyfocus – A Minimal Tool to Help Solo Founders Focus Hi HN, I just launched Tinyfocus, a small productivity tool designed specifically for solo founders and builders. The goal is simple: help you focus on what matters and get more done in less time. Here’s what Tinyfocus does: Lets you track your top tasks and prioritize efficiently. Provides micro dashboards to keep your daily focus in check. Lightweight, no distractions, no fluff. I built it entirely by myself, iterating in public, and I wanted to share it with the community to get feedback. It’s been crazy seeing how a simple tool can make such a difference in daily focus, especially when you’re juggling multiple projects as a solo founder. Check it out here: tinyfoc.us I’d love to hear your thoughts – any feedback, feature ideas, or bugs you notice. Thanks! https://ift.tt/duvxWbG November 30, 2025 at 10:05PM
Saturday, November 29, 2025
Show HN: I made a free log anonymizer in the browser https://ift.tt/J6NpiXt
Show HN: I made a free log anonymizer in the browser https://ift.tt/8kOdwAW November 30, 2025 at 02:35AM
Show HN: No Environment Setups Anymore https://ift.tt/Szgo457
Show HN: No Environment Setups Anymore Hi everyone, for last 7 months, I have been learning all the attempts made to eliminate codebase environment setups. Here's my product which is a leap in the same direction and will help you run any codebase on relevant machine. Check it out on gitarsenal.dev/ and we got ranked 6th on Product Hunt as well. https://ift.tt/nyoS4Rw November 29, 2025 at 11:57PM
Show HN: Zero-power photonic language model–code https://ift.tt/oeadkRs
Show HN: Zero-power photonic language model–code The model uses a 1024-dimensional complex Hilbert space with 32 layers of programmable Mach–Zehnder meshes (Reck architecture) and derives token probabilities directly via the Born rule. Despite using only unitary operations and no attention mechanism, a 1024×32 model achieves coherent TinyStories generation after < 1.8 hours of training on a single consumer GPU. This is Part 1 - the next step is physical implementation with $50 of optics from AliExpress. https://zenodo.org/records/17764289 November 29, 2025 at 10:45PM
Friday, November 28, 2025
Show HN:TaskHub – Update https://ift.tt/PizuLpN
Show HN:TaskHub – Update https://ift.tt/Dy1Sdk8 November 28, 2025 at 11:39PM
Show HN: Local-first RAG for PDF user manuals, datasheets https://ift.tt/rTSLhAU
Show HN: Local-first RAG for PDF user manuals, datasheets I work on embedded firmware for my day job, and I've found LLMs to be useful for answering questions about technical errata. But, they tend to be bad at answering highly specific questions without using some kind of search tool (if they decide to use one at all), and some user manuals are far too large to fit into a context window. I built askdocs-mcp as a way to give agents a more direct route to searching through a project's source-of-truth documents. My design constraints were that it run 100% locally, as some manuals are under NDA. It should start up fast, and let me experiment with different embedding & language models. It was built with ollama in mind, but if you can't run models locally, it will work with any OpenAI compatible endpoint. Features: - Incrementally builds and caches the set of docs. Initial start up can take a while as PDFs are chunked and ran through an embedding model, but after that, startup is near instant. - Uses the filesystem as the database - you only need `ollama` running somewhere so the tool can access an embedding and natural language model. - Provides a tool `ask_docs` for getting natural-language answers back about what the documentation says, which are annotated with page numbers the information came from. Those can be used with tool `get_doc_page` to retrieve the full page if the agent needs additional context. Because I'm providing the exact set of documents that apply to my project, I see fewer hallucinations and rabbit-hole chasing. The agent isn't relying (as much) on its latent space to answer questions, and it avoids using a web search tool which might find subtly different part numbers or protocol versions. It saves precious context as well, because the parent agent gets a concise version of what it's looking for, instead of doing the "searching" itself by loading large chunks of the document into itself. I'm sure there are improvements that can be made e.g. document chunking or the "system prompt" the tool gives to the language model - I'd love to hear your feedback, especially if you find this useful. Thanks! https://ift.tt/itfoSwL November 28, 2025 at 10:47PM
Show HN: Design a commercial bakery in an afternoon, not for $10k https://ift.tt/R4mQNtl
Show HN: Design a commercial bakery in an afternoon, not for $10k Hi HN, I'm Rafael Mauricio, the founder of RF Modern Bakery Design. For the last decade, I've worked with hundreds of talented bakers. The same frustrating pattern kept emerging: they had the culinary skills to build a successful business, but were completely blocked by the monumental task of designing their commercial kitchen. A brilliant baker shouldn't have to also become a construction manager, HVAC expert, and workflow engineer. The traditional process is a black hole of time and money—taking 3-6 months and $10,000+ in consulting fees just to get a viable floor plan. Most independent operators can't afford this. We built RF Modern Bakery Design to bridge that gap. The Product: It's a dual-sided service. Custom Bakery Design: The time-tested, professional service for creating full, build-ready bakery concepts. Online Bakery Design Courses: This is the core of our "Show HN." We've productized our decade of expertise into video courses that teach the principles of efficient layout, equipment selection, and workflow optimization. It's like having a senior designer guide you through the entire process, empowering you to design your own space or intelligently manage a contractor. The Tech Stack: We keep it simple and focused on delivery: a static site that lets us pour 100% of our energy into creating high-quality, actionable lessons and resources. We're launching this to solve the "barrier to entry" problem in the food service industry. It's for aspiring bakery owners, culinary graduates, and even existing owners planning a renovation who need a clear, professional path to a functional and profitable layout without the prohibitive upfront cost. We'd love for you to check it out and are eager for any feedback: Landing Page: https://ift.tt/ZXfNWvn Happy to answer any questions about the business model, the design principles we teach, the build process, or the bakery industry in general https://ift.tt/ZXfNWvn November 28, 2025 at 11:01PM
Thursday, November 27, 2025
Show HN: FounderPace – A leaderboard for founders who run https://ift.tt/EZSUcdO
Show HN: FounderPace – A leaderboard for founders who run https://ift.tt/edluSzp November 28, 2025 at 03:48AM
Show HN: I built a free astro and tailwind static site for GitHub pages https://ift.tt/azNSACW
Show HN: I built a free astro and tailwind static site for GitHub pages Using my GitHub pro+ with vs code setup This is a demonstration of how good of a site can I build essentially 100% for free + free hosting (if coded manually without a 50$ subscription) And I went completely overboard on purpose its 99% useless for a real production deployment im sure but for mini blogs probably might be useful idk I dont even use the new GitHub spark or whatever to slow compared to 1k+ line edits every couple minutes im obviously working on a ton of other things I won't make public yet but will in the future https://tariqdude.github.io/Github-Pages-Project-v1/ November 28, 2025 at 02:17AM
Show HN: Whole-home VPN router with hardware kill switch (OpenWrt and WireGuard) https://ift.tt/DnglA9I
Show HN: Whole-home VPN router with hardware kill switch (OpenWrt and WireGuard) With internet censorship and surveillance on the rise, ie; UK Online Safety Bill (July 2025) and Australia's social media legislation (Dec 2025) introducing mandatory age verification (read: initial step on the pathway to social credit), I wanted a privacy-first solution that protects browsing history from ISPs and third-party verification services, but not one that requires you to be an Einstein to deploy. This stack turns a Raspberry Pi (or any OpenWrt-compatible device) into a network-wide VPN gateway. Key features: - Hardware kill switch: VPN down = no internet (not a software rule that can leak) - AmneziaWG obfuscation for DPI-resistant connections - Optional AdGuard Home for DNS filtering - Works for all devices including smart TVs and IoT that can't run VPN apps Not a techie? The README is optimized for AI-assisted deployment. Feed it to your LLM of choice (Claude, GPT, etc.) and it can walk you through the entire setup for your specific hardware. Mullvad-focused but works with any WireGuard provider. MIT license. Docker deploy in testing (coming soon) https://ift.tt/ayGZ4Fh November 28, 2025 at 02:50AM
Show HN: No Black Friday – A directory of fair-price brands https://ift.tt/aGt8iKh
Show HN: No Black Friday – A directory of fair-price brands The idea came from noticing how many brands inflate prices only to discount them later. Some companies refuse to do that, and I wanted a place to highlight them. If you know a company that doesn’t participate in Black Friday or similar discount events, please add it or share it here. I’d love to grow the list with help from the community. Manuel https://ift.tt/wDVYdBm November 28, 2025 at 01:20AM
Wednesday, November 26, 2025
Show HN: Ghostty-Web – Ghostty in the Browser https://ift.tt/WxYVUpg
Show HN: Ghostty-Web – Ghostty in the Browser https://ift.tt/JNt2IUg November 26, 2025 at 09:36PM
Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/0BQy1qj
Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/hgTaHxW November 26, 2025 at 11:34PM
Show HN: Yolodex – real-time customer enrichment API https://ift.tt/ZelMCgH
Show HN: Yolodex – real-time customer enrichment API hey hn, i’ve been working on an api to make it easy to know who your customers are, i would love your feedback. what it does send an email address, the api returns a json profile built from public data, things like: name, country, age, occupation, company, social handles and interests. It’s a single endpoint (you can hit this endpoint without auth to get a demo of what it looks like): curl https://ift.tt/Mv3Pdzj \ --request POST \ --header 'Content-Type: application/json' \ --data '{"email": "john.smith@example.com"}' everyone gets 100 free, pricing is per _enriched profile_: 1 email ~ $0.03, but if i don’t find anything i wont charge you. why i built it / what’s different i once built open source intelligence tooling to investigate financial crime but for a recent project i needed to find out more about some customers, i tried apollo, clearbit, lusha, clay, etc but i found: 1. outdated data - the data about was out-of-date and misleading, emails didn’t work, etc 2. dubious data - i found lots of data like personal mobile numbers that i’m pretty sure no-one shared publicly or knowingly opted into being sold on 3. aggressive pricing - monthly/annual commitments, large gaps between plans, pay the same for empty profiles 4. painful setup - hard to find the right api, set it up, test it out etc i used knowledge from criminal investigations to build an api that uses some of the same research patterns and entity resolution to find standardized information about people that is: 1. real-time 2. public info only (osint) 3. transparent simple pricing 4. 1 min to setup what i’d love feedback on * speed : are responses fast enough? would you trade-off speed for better data coverage? * coverage : which fields will you use (or others you need)? * pricing : is the pricing model sane? * use-cases : what you need this type data for (i.e. example use cases)? * accuracy : any examples where i got it badly wrong? happy to answer technical questions in the thread and give more free credits to help anyone test https://api.yolodex.ai November 24, 2025 at 06:02PM
Show HN: Safe-NPM – only install packages that are +90 days old https://ift.tt/RVFeBpU
Show HN: Safe-NPM – only install packages that are +90 days old This past quarter has been awash with sophisticated npm supply chain attacks like [Shai-Hulud]( https://ift.tt/Eq5ldj1... () and the [Chalk/debug Compromise]( https://www.wiz.io/blog/widespread-npm-supply-chain-attack-b... ). This CLI helps protect users from recently compromised packages by only downloading packages that have been public for a while (default is 90 days or older). Install: npm install -g @dendronhq/safe-npm Usage: safe-npm install react@^18 lodash How it works: - Queries npm registry for all versions matching your semver range - Filters out anything published in the last 90 days - Installs the newest "aged" version Limitations: - Won't protect against packages malicious from day one - Doesn't control transitive dependencies (yet - looking into overrides) - Delays access to legitimate new features This is meant as a 80/20 measure against recently compromised NPM packages and is not a silver bullet. Please give it a try and let me know if you have feedback. https://ift.tt/iBqQyhr November 24, 2025 at 02:14AM
Tuesday, November 25, 2025
Show HN: A WordPress plugin that rewrites image URLs for near-zero-cost delivery https://ift.tt/tnWBUDQ
Show HN: A WordPress plugin that rewrites image URLs for near-zero-cost delivery Hi HN, I built a WordPress plugin called Bandwidth Saver. It takes the images your site already has and serves them through Cloudflare R2 and Workers, which means zero egress fees and extremely low storage cost. The goal is to make image delivery fast and cheap without adding any of the complexity of traditional optimization plugins. The idea is simple. WordPress keeps generating images normally. The plugin rewrites the URLs on the frontend so images are served from a Cloudflare Worker. On the first request, the Worker fetches the original image and stores it in R2. After that, Cloudflare’s edge serves the image from its global cache with no egress charges. There’s no need to preload or sync anything, and if something fails, the original image loads. That’s the entire system. I built this because most image CDN plugins try to do everything: compression, resizing, AI transforms, asset management, custom dashboards, and monthly fees. That’s useful for some users, but it’s unnecessary for most sites that just want their existing media to load faster without breaking the bank. Bandwidth Saver focuses only on delivery, not transformations. It’s intentionally minimal. There are two ways to use it. The plugin is completely free if you want to run your own Cloudflare Worker. I included the Worker code and the steps needed to deploy it. If you don’t want to deal with any Cloudflare setup, there’s a managed option for $2.99 per month that uses my Worker and my R2 bucket. I’m trying to keep it accessible while also covering operational costs. The plugin works with any theme or builder and doesn’t modify the database. It only rewrites URLs on output. WordPress remains the system of record for all media. R2 simply becomes a cheap, durable cache layer backed by Cloudflare’s edge. I’m especially interested in feedback about the approach. Does the fetch-on-first-request model make sense? Is the pricing fair for a plugin of this scope? Should I prioritize allowing users to connect their own R2 buckets or the managed service? And for those with experience in edge compute or CDNs, I would love thoughts on how to improve the Worker or the rewrite strategy. Thanks for reading, happy to answer any questions. https://ift.tt/zNIjRT0 November 26, 2025 at 06:05AM
Show HN: I Figured It Out https://ift.tt/rWz01Ad
Show HN: I Figured It Out https://ift.tt/8o02cKV November 26, 2025 at 03:56AM
Show HN: MCP Security Scanning Tool for CI/CD https://ift.tt/1sCozh5
Show HN: MCP Security Scanning Tool for CI/CD https://ift.tt/CXomvgw November 26, 2025 at 12:41AM
Show HN: Secure private diffchecker with merge support https://ift.tt/su4FngN
Show HN: Secure private diffchecker with merge support Built a minimal diff checker with merge feature. 1. Supports 25K+ lines. 2. Character level instant diff. 3. Diff merge feature. 4. Share able links. 5. 100% secure, all diff computation happens in browser. No other website offering high quality diff checker and merge feature with just browser only implementation. Please review the website in detail and share feedback. https://diffchecker.dev November 25, 2025 at 11:00PM
Monday, November 24, 2025
Show HN: Hypercamera – a browser-based 4D camera simulator https://ift.tt/nLJpv12
Show HN: Hypercamera – a browser-based 4D camera simulator https://ift.tt/SO7KpuQ November 19, 2025 at 05:54PM
Show HN: TX-2 ECS – A web framework that treats your app as a world https://ift.tt/VMj6Fup
Show HN: TX-2 ECS – A web framework that treats your app as a world I’ve been building a different kind of web framework and would love feedback. TX-2 ECS is a TypeScript-first framework where your app is modeled as an ECS world (entities, components, systems) instead of a tree of UI components + ad-hoc state. A few things that might interest HN: - Single world model shared across server and client; systems run in both places. - Rendering is “just another system” that produces DOM; SSR + hydration are built in. - Built-in RPC + state sync that ships only deltas, on a tunable rate limit (aimed at reducing egress/CPU for real-time apps). - Designed for long-lived products where you care about dev velocity 5+ years in (features are usually new systems, not surgery on existing code). It’s aimed at apps that feel more like living systems than CRUD: multiplayer tools, dashboards, agents, simulations, collaborative editors, etc. Repo: https://ift.tt/xJABh9E I’m especially interested in: - “This will/ won’t work in production because…” from people who run real-time systems. - Critiques of the ECS-centered architecture for web. - Benchmarks or experiments you’d want to see before considering something like this. https://www.tx-2.dev/ November 25, 2025 at 04:20AM
Show HN: My first published app – track contraception ring cycle https://ift.tt/PYnHTK3
Show HN: My first published app – track contraception ring cycle My wife said she wished there was a big widget on her phone that told her when to take her Nuvaring out. So I vibe coded one. What other problems can it solve? https://ift.tt/d91xFvG November 25, 2025 at 03:43AM
Show HN: I built an interactive HN Simulator https://ift.tt/OCgiEPK
Show HN: I built an interactive HN Simulator Hey HN! Just for fun, I built an interactive Hacker News Simulator. You can submit text posts and links, just like the real HN. But on HN Simulator, all of the comments are generated by LLMs + generate instantly. The best way to use it (IMHO) is to submit a text post or a curl-able URL here: https://news.ysimulator.run/submit . You don't need an account to post. When you do that, various prompts will be built from a library of commenter archetypes, moods, and shapes. The AI commenters will actually respond to your text post and/or submitted link. I really wanted it to feel real, and I think the project mostly delivers on that. When I was developing it, I kept getting confused between which tab was the "real" HN and which was the simulator, and accidentally submitted some junk to HN. (Sorry dang and team – I did clean up after myself). The app itself is built with Node + Express + Postgres, and all of the inference runs on Replicate. Speaking of Replicate, they generously loaded me up with some free credits for the inference – so shoutout to the team there. The most technically interesting part of the app is how the comments work. You can read more about it here, as well as explore all of the available archetypes, moods, and shapes that get combined into prompts: https://news.ysimulator.run/comments.html I hope you all have as much fun playing with it as I did making it! https://news.ysimulator.run/news November 24, 2025 at 09:52PM
Sunday, November 23, 2025
Show HN: Real-time freelancer marketplace with per-second billing https://ift.tt/loZ90qb
Show HN: Real-time freelancer marketplace with per-second billing Hi HN! I'm launching Gigs.Quest, a platform where startups can hire freelancers instantly through live video rooms. Problem: Traditional freelancing platforms are slow. You post a job, wait for proposals, interview candidates, negotiate rates, then finally start work. For quick tasks, this is overkill. Solution: Create a room, describe what you need, and qualified talent joins live within 5-12 minutes. Collaborate via HD video and screen sharing. Pay per second ($0.02/sec = $72/hr). All sessions recorded. Why this works: • For startups: Get immediate help without hiring overhead • For freelancers: Monetize expertise without bidding/proposals • Trust: All sessions recorded, transparent earnings, Stripe-backed payments Real use cases from beta: • Debugging production outage (saved 3 hours vs hiring process) • Quick design mockup review (12 min session, $14 cost) • Architecture consultation for new feature (45 min, $54) Tech details: • Pre-authorization holds that scale (start at $5, double at 80% usage) • LiveKit for video infrastructure • Convex for real-time database • Stripe Connect for instant payouts Challenges I'm working on: 1. Quality control (how to prevent low-quality participants?) 2. Discovery (how do freelancers find rooms?) 3. Pricing (is $72/hr the right rate?) I'd love feedback from both sides of the marketplace. What am I missing? Live at: https://gigs.quest https://gigs.quest/ November 24, 2025 at 12:01AM
Show HN: Gitlogue – A terminal tool that replays your Git commits with animation https://ift.tt/PA1h9Dk
Show HN: Gitlogue – A terminal tool that replays your Git commits with animation Gitlogue is a CLI that turns your Git commits into a typing-style replay. It visualizes diffs line by line, shows the file tree, and plays back each edit as if it were typed in real time. Key points • Realistic typing animation • Syntax-highlighted diffs • File-tree view • Replay any commit • Self-contained CLI Demo video is in the README. Repo: https://ift.tt/YsmSHRT https://ift.tt/YsmSHRT November 18, 2025 at 04:47PM
Show HN: Search tool for "Ask HN: What Are You Working On?" https://ift.tt/Ab5480M
Show HN: Search tool for "Ask HN: What Are You Working On?" Hi all, I created a public dashboard for searching / chatting with "What are you working on?" posts. I'd love to hear any feedback that you have. https://ift.tt/CTP4J5y November 23, 2025 at 09:22PM
Saturday, November 22, 2025
Show HN: RealDeed – Tokenize Real Estate into Digital Assets https://ift.tt/fZKktvy
Show HN: RealDeed – Tokenize Real Estate into Digital Assets RealDeed is MENA’s advanced real estate tokenization platform, licensed under the Dubai International Financial Centre (DIFC). Our mission is simple: Make real estate “digitally alive” without forcing property owners or developers into securities, fundraising, or STO regulations on day one. Real estate globally is still stuck in PDFs, local land offices, and offline processes. Tokenization exists, but almost all solutions jump straight into securities, fractionalization, investor pooling, and STOs, which triggers regulation and makes experimentation nearly impossible. We built RealDeed because property owners kept asking us the same question: “Can I put my real estate on blockchain as a digital twin without selling ownership or offering securities?” So that’s exactly what we built. Today, we’re launching the RealDeed — a platform that turns physical real estate into digital assets or twins, represented as utility tokens pegged to land area. What RealDeed Actually Does :. RealDeed allows property owners and developers to: 1. Upload property documents Title deed, floor plan, DLD or RERA documents, etc. 2. Verify ownership KYC + property verification. 3. Define a tokenization model Example: 32 sqm → 320,000 utility tokens 120 sqm → 1,200,000 tokens Tokens represent digital land, not ownership. 4. Mint the digital twin on-chain We generate tokens on XRP Ledger & EVM networks. 5. Deliver tokens to the owner’s Web3 wallet 6. Optional integrations Where legally allowed, owners can connect their digital twins to: Broker-dealer platforms DeFi platforms Fintech apps Metaverse/spatial systems Partner proptech tools RealDeed creates the first interoperable property layer on blockchain where: A Dubai villa A Mumbai apartment A London flat …can all exist as standardized digital twins—usable across APIs, developer tools, and digital ecosystems. This enables: Global property mapping Unified digital registries Digital twin trading like gift deed and selling tokens(not property trading) Cross-border developer collaboration Blockchains finally have a way to “understand” property. Regulatory Positioning RealDeed is:Licensed under DIFC Innovation Licence (PropTech/DLT & Tokenization) (we don’t do financial services) Not a securities platform Not selling tokens Not accepting public funds Not fractional ownership Think of us as “Stripe for property tokenization.” Founded by Malhar Jajoo & Pratz (Prathmesh) Try It / Join the Waitlist realdeed.co https://ift.tt/pnG35E0 November 23, 2025 at 12:46AM
Show HN: HN Insights – HN front page summaries https://ift.tt/gGxAyUH
Show HN: HN Insights – HN front page summaries Hi HN, Sharing HN Insights, a webapp I built that highlights trending themes and summarizes discussion threads from the front page. This started earlier this week as a toy project to test out Gemini 3 Pro in aistudio. I found the POC useful, so I decided to productionize it. I've included the original seed prompt below: > Create an app that creates a summary of the comment threads for hacker news front page. The UX should be similar, but clicking the comments instead opens a summary. The summary is generated when clicked so it can gather new threads. To productionize, I used Claude Code and heavy use of Agent SOPs ( https://ift.tt/ndFui08 ). https://hn-insights.com November 23, 2025 at 12:34AM
Friday, November 21, 2025
Show HN: Skedular, a Smart Booking and Workspace Management Platform https://ift.tt/mFvBeLZ
Show HN: Skedular, a Smart Booking and Workspace Management Platform Hi HN I have been working on Skedular a platform that helps organizations councils co working spaces and local businesses manage bookings shared spaces and multi location operations in a simple modern way What Skedular does - Manage rooms desks studios sports facilities meeting spaces and any kind of bookable asset - Handle multi location multi team scenarios - Provide public booking pages for venues - Offer a clean dashboard for operators to manage availability payments customers and schedules - API first design for easy integration with existing systems - Built with modern tooling including Nextjs NET backend PostGIS and Kafka events Why I built it Most booking platforms are either too simple or too enterprise heavy Skedular is meant to sit in the middle powerful enough for councils or large organisations but simple enough for a local venue owner to use without training. I am currently onboarding early users and would love feedback from this community especially around UX data modelling and scaling patterns. Links - Public website https://getskedular.com - App website https://skedular.app Looking for feedback I would appreciate thoughts on the overall concept any edge cases I might be missing suggestions for UI and UX improvements and pain points you have experienced in managing bookings or shared resources Thanks for taking a look Morteza https://skedular.app November 22, 2025 at 09:04AM
Show HN: I made a Rust Terminal UI for OpenSnitch, a Linux application firewall https://ift.tt/0YeTRzm
Show HN: I made a Rust Terminal UI for OpenSnitch, a Linux application firewall I made a Terminal UI for OpenSnitch[1], an interactive application firewall for Linux inspired by Little Snitch. I’ve always wanted to create a TUI and found the perfect excuse to make this for usage on one of my headless servers. I wrote this in Rust to force myself to learn more, viz. async features. Super open to feedback and contributions! [1] https://ift.tt/rFpGxRa https://ift.tt/CLcJq70 November 22, 2025 at 03:48AM
Show HN: Even Turns, track your families turns https://ift.tt/8nNvwiW
Show HN: Even Turns, track your families turns I am a dad and have a hard time keeping track of who's turn it is, so I built this simple app to help, and you can try it out and use it for free! You can create a list, add turns (in order), and advance the turns in sequential or random order. That is pretty much it. I guess a to-do list or something could do something similar, but this is designed with 'taking turns' in mind. It's a PWA, so you can "Add to Homescreen" rather than download an app from the app store. Or use it in your browser. I've been using it every day for a bit now, thought I'd share. https://eventurns.com November 21, 2025 at 11:29PM
Show HN: OCR Arena – A playground for OCR models https://ift.tt/lLIV9Uw
Show HN: OCR Arena – A playground for OCR models I built OCR Arena as a free playground for the community to compare leading foundation VLMs and open-source OCR models side-by-side. Upload any doc, measure accuracy, and (optionally) vote for the models on a public leaderboard. It currently has Gemini 3, dots.ocr, DeepSeek, GPT5, olmOCR 2, Qwen, and a few others. If there's any others you'd like included, let me know! https://ift.tt/oJ5bwZR November 21, 2025 at 08:44PM
Thursday, November 20, 2025
Show HN: Roundible – A Space for Anonymous Discussions https://ift.tt/lDoAZSU
Show HN: Roundible – A Space for Anonymous Discussions https://roundible.com November 21, 2025 at 12:37AM
Show HN: A game where you invest into startups from history https://ift.tt/w4V6ZXm
Show HN: A game where you invest into startups from history https://ift.tt/EF3d5XB November 16, 2025 at 01:05AM
Wednesday, November 19, 2025
Show HN: An A2A-compatible, open-source framework for multi-agent networks https://ift.tt/il1IBcr
Show HN: An A2A-compatible, open-source framework for multi-agent networks https://ift.tt/0eLdsUB November 20, 2025 at 09:52AM
Show HN: F32 – An Extremely Small ESP32 Board https://ift.tt/M4pP3U7
Show HN: F32 – An Extremely Small ESP32 Board As part of a little research and also some fun I decided to try my hand at seeing how small of an ESP32 board I can make with functioning WiFi. https://ift.tt/C8VWyaT November 20, 2025 at 12:09AM
Show HN: PgEdge Control Plane, a declarative API for multi-region Postgres mgmt https://ift.tt/97d2fkK
Show HN: PgEdge Control Plane, a declarative API for multi-region Postgres mgmt https://ift.tt/EQduXp1 November 20, 2025 at 01:15AM
Tuesday, November 18, 2025
Show HN: Browser-based interactive 3D Three-Body problem simulator https://ift.tt/aJY8DFq
Show HN: Browser-based interactive 3D Three-Body problem simulator Features include: - Several preset periodic orbits: the classic Figure-8, plus newly discovered 3D solutions from Li and Liao's recent database of 10,000+ orbits (https://ift.tt/z2EGaC0) - Full 3D camera controls (rotate/pan/zoom) with body-following mode - Force and velocity vector visualization - Timeline scrubbing to explore the full orbital period The 3D presets are particularly interesting. Try "O₂(1.2)" or "Piano O₆(0.6)" from the Load Presets menu to see configurations where bodies weave in and out of the orbital plane. Most browser simulators I've seen have been 2D. Built with Three.js. Open to suggestions for additional presets or features! https://ift.tt/1qBV5EO November 18, 2025 at 07:00PM
Show HN: A subtly obvious e-paper room air monitor https://ift.tt/jiI0bEk
Show HN: A subtly obvious e-paper room air monitor In the cold season we tend to keep the windows closed. The air gets "stale": humidity often rises above 60 %, which can harm our wellbeing and promote mould. At the same time the CO₂ level in the air increases, which impacts our ability to concentrate. So I built a room air monitor that stays unobtrusive as long as everything is in the green zone, but becomes deliberately noticeable once thresholds are exceeded. For my personal love of statistics I also visualise the measurements in a clear dashboard. https://ift.tt/EgboXif November 18, 2025 at 11:14AM
Show HN: I am self-hosting a time-sorted list of top STEM, Arts and Design posts https://ift.tt/3btkC8a
Show HN: I am self-hosting a time-sorted list of top STEM, Arts and Design posts I built Lime Reader, a minimal site which displays time-sorted top posts from Hacker News, Tildes, Lobsters, Slashdot, Bear, and some science, tech & programming related subreddits. You can read more about the site by clicking the slogan at the top of my site "your daily compass for the STEAMD web": https://ift.tt/pmP4aRQ Previously, I have always used Rust or NodeJS for my backend and Postgres for database. This time, I used Swift for my backend to build a Website for the first time, used SQLite for Database, used only a single third party dependency: Vapor for web server in the Swift app, and am self-hosting it all on an old Mac mini. I really hate huge bloated sites and also hate adding third-party frameworks unless absolutely needed. Therefore, I have engineered Lime Reader to be as small in size as possible so that it loads instantly. Both PageSpeed Insights and Pingdom rate my site's performance as Excellent. It's server side rendered, so it works even with JavaScript disabled (though enabling it gives you a few extra features like quick access to archive.org for each link). Kind of works even with CSS disabled. The site doesn't have any ads (I hate them and have installed ad-blockers everywhere!), no trackers, or analytics. CloudFlare automatically enables Real User Monitoring (RUM) on sites. The very first thing I did was disable this thing. I am self-hosting the site on an old Mac mini. It's a 2020 Intel model which has a 2018 chip (Intel's 3 GHz 6-core Core i5) and 32gb ram. Qwen model takes about 5.5GB of ram usage and does my headline classification in about 2 seconds each. The Swift app talks to a locally running Qwen3 8b LLM for classifying whether a headline is political or not. This is done over a REST API by Ollama. This seems to work pretty well and far better than Apple's Foundation Models. Originally, I tried using Apple's Foundation Models for this classification. When it worked, it worked decently well. However, many headlines (and even pretty bland headlines) would somehow trigger its guardrails. I asked Stack Overflow for help on this but as usual, they closed the question for lack of details: https://ift.tt/REPcD4u... For example, this headline: > SEC approves Texas Stock Exchange, first new US integrated exchange in decades Would hits the Apple's guardrails and throw an error saying `refusal: May contain sensitive content`. Apple does provide a "permissive guardrail mode" as per: https://ift.tt/b8KTuf5... This does end up allowing some texts to work. However, it still failed for some other ones. That's when I gave up on using Apple's foundation models and switched to the Qwen3 8b model which had no such issues. It's pretty sad how the Foundation Models have so much potential but Apple has severely neutered them. I originally tried the apple foundation models on my newer mac with m4 chip and once I had the issue with their guardrails, I decided to just switch to Qwen model which runs on Intel and used my old Mac mini for it. An issue I ran into was that my Swift app was intermittently crashing. Root cause were two issues: 1. First one had to do with accessing the SQLite database from multiple threads. Apparently, for multi-threading use, SQLite needed to be initialized with a `SQLITE_OPEN_FULLMUTEX` flag. 2. Second one was a "Bad file descriptor" error from the macOS operating system itself. Had to do with a possible bug in Process.run() which would cause it to crash after some time: https://ift.tt/L5P7nWz Was able to fix it using the above workaround/solution of "fileHandleForReading.close()". Lets see how long the site stays alive now without crashing :) Feel free to ask questions. https://limereader.com/ November 18, 2025 at 09:18PM
Show HN: We built a generator for Vue+Laravel that gives you a clean codebase https://ift.tt/XB9OYQk
Show HN: We built a generator for Vue+Laravel that gives you a clean codebase Hey HN, My team and I built a tool to scratch our own itch. We were tired of spending the first few days of every new project setting up the same Vue + Laravel boilerplate: writing migrations, models, basic CRUD controllers, and wiring up forms and tables on the frontend. So we built Codecannon. It’s a web app where you define your data models, columns, and relationships, and it generates a full-stack application for you. To be clear, the code isn't AI-generated. It's produced deterministically by our own code generators, so the output is always predictable, clean, and follows conventional best practices. The key difference from other tools is that it’s not a no-code platform you get locked into. When you're done, it pushes a well-structured codebase to your GitHub repo (or you can download a .zip file). You own it completely and can start building your real features on top of it right away. What it generates: - Laravel Backend: Migrations, models with relationships, factories, seeders, and basic CRUD API endpoints. - Vue Frontend: A SPA with PrimeVue components. It includes auth pages, data tables, and create/edit forms for each of your models, with all the state management wired up. - Dev Stuff: Docker configs, a CI/CD pipeline starter, linters, and formatters are all included. The idea is to skip the repetitive work and get straight to the interesting parts of a project. It's free to use the builder, see a live preview, and download the full codebase for apps up to 5 modules. For larger apps, you only pay if you decide you want the source code. We’re in an early alpha and would love to get some honest feedback from the community. Does the generated code look sensible? Are we missing any obvious features? Is this something you would find useful or know anyone who might? Let me know what you think. https://codecannon.dev/ November 18, 2025 at 10:58PM
Monday, November 17, 2025
Show HN: Continuous Claude – run Claude Code in a loop https://ift.tt/VDN7qih
Show HN: Continuous Claude – run Claude Code in a loop Continuous Claude is a CLI wrapper I made that runs Claude Code in an iterative loop with persistent context, automatically driving a PR-based workflow. Each iteration creates a branch, applies a focused code change, generates a commit, opens a PR via GitHub's CLI, waits for required checks and reviews, merges if green, and records state into a shared notes file. This avoids the typical stateless one-shot pattern of current coding agents and enables multi-step changes without losing intermediate reasoning, test failures, or partial progress. The tool is useful for tasks that require many small, serial modifications: increasing test coverage, large refactors, dependency upgrades guided by release notes, or framework migrations. Blog post about this: https://ift.tt/Uu8aFoP... https://ift.tt/XrgY0Ro November 15, 2025 at 08:27PM
Sunday, November 16, 2025
Show HN: My Side project a free email template builder for CRM, or any website https://ift.tt/mlDUCIJ
Show HN: My Side project a free email template builder for CRM, or any website Hi Everyone, I built an email template builder embeddable plugin for CRM, Marketplace, or any website. Free and paid plans are included. Add a complete email builder to any SaaS app using a single script. What's included: - Easy Integration - AI Content & Template Generation - Add external image libraries - Add Merge Tags - Display Conditions - Custom Blocks - Choose your storage server - Dedicated support during integration Check it out, and please let us know if you have any feedback for me. TIA https://ift.tt/CdObGZh November 17, 2025 at 02:26AM
Show HN: ResendForward – OS server and UI for use with Resend.com inbound https://ift.tt/4TMNygm
Show HN: ResendForward – OS server and UI for use with Resend.com inbound With Resend's new inbound feature I wanted to build a simple application that handles processing webhook events and forwarding emails for multiple applications. Right now Resend requires you to implement that logic in each new application. repo - https://ift.tt/gBKpsSO live - https://ift.tt/A7fpz9U Built with react + pocketbase, extremely simple to self host. https://ift.tt/gBKpsSO November 16, 2025 at 11:27PM
Saturday, November 15, 2025
Show HN: Socratic, a knowledge-base builder for agents where YOU stay in control https://ift.tt/ytcO9MS
Show HN: Socratic, a knowledge-base builder for agents where YOU stay in control https://ift.tt/nHwdkGp November 16, 2025 at 12:10AM
Show HN: An Apache Beam batch processing clone in Rust https://ift.tt/H3WInXx
Show HN: An Apache Beam batch processing clone in Rust I've been experimenting with Apache Beam as of late at work and found that it can be slow in Python, and more complicated to use in Java where performance is better. I decided to experiment with JetBrains' AI Assistant and build an Apache Beam clone in Rust. I appreciate any commentary or feedback! https://ift.tt/WG7OTuY November 15, 2025 at 10:46PM
Friday, November 14, 2025
Show HN: Unified Payment Sandbox – A UAT Env for Stripe/Razorpay Integrations https://ift.tt/YdiFrz5
Show HN: Unified Payment Sandbox – A UAT Env for Stripe/Razorpay Integrations Hey HN! I'm exploring an idea for a developer-focused SaaS: A unified UAT environment for payment gateways — essentially a sandbox simulator that lets developers integrate payments without creating multiple sandbox accounts or dealing with inconsistent/mock behaviors across gateways. The Problem If you’ve ever integrated payments, you know: Stripe has excellent test tooling Razorpay is decent Paytm/PayU/etc vary a lot Many banks don’t have predictable UAT behavior Webhooks arrive differently, some delayed, some flaky Testing disputes/refunds/settlements is nearly impossible For dev teams building complex flows, they end up writing internal mocks, maintaining them, and still missing edge cases. The Idea (SaaS) A unified Payment Sandbox Simulator that: Mock APIs for multiple gateways Stripe Razorpay Paytm PayU Cashfree Worldline Visa/Mastercard tokenization mock UPI PSP simulators Simulate real-world scenarios Captures Refunds Partial refunds Chargebacks Disputes Settlement delays Failed payouts KYC verification Randomized webhook delays/skips Network downtime simulation 3-D Secure / OTP mock pages UPI timeouts / pending states Hosted dashboards View mock transactions Trigger lifecycle events (manually or timed) Trigger webhooks again Create custom gateway profiles Define “rules” to simulate: failure %, latency, webhook disorder, retries For engineering teams Private UAT environment in one URL No more creating 10 sandbox accounts CI-friendly “headless payment” flows Add Mock PG in local → swap to real PG in staging Automatic contract testing Pricing thought Free Tier → 100 test transactions/mo $29/mo → small teams $99/mo → startups $499/mo → enterprise / white-label Ask to HN Would you use this? What’s missing? Would payments teams trust a 3rd-party simulator? Which gateways or scenarios matter most? Happy to answer questions November 14, 2025 at 11:02PM
Show HN: Free, dead simple trust center https://ift.tt/mlhQzuI
Show HN: Free, dead simple trust center https://ift.tt/l1uef6r November 14, 2025 at 11:05PM
Thursday, November 13, 2025
Show HN: US Publicly Traded Companies probabilities of default with public data https://ift.tt/dzmfM8g
Show HN: US Publicly Traded Companies probabilities of default with public data https://ift.tt/tAod6GY November 14, 2025 at 02:21AM
Show HN: DBOS Java – Postgres-Backed Durable Workflows https://ift.tt/YhCQIq4
Show HN: DBOS Java – Postgres-Backed Durable Workflows Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres. https://ift.tt/rs1iV7G Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where it left off, as if nothing happened. In practice, this makes it easier to build reliable systems for use cases like AI agents, payments, data synchronization, or anything that takes hours, days, or weeks to complete. Rather than bolting on ad-hoc retry logic and database checkpoints, durable workflows give you one consistent model for ensuring your programs can recover from any failure from exactly where they left off. This library contains all you need to add durable workflows to your program: there's no separate service or orchestrator or any external dependencies except Postgres. Because it's just a library, you can incrementally add it to your projects, and it works out of the box with frameworks like Spring. And because it's built on Postgres, it natively supports all the tooling you're familiar with (backups, GUIs, CLI tools) and works with any Postgres provider. If you want to try it out, check out the quickstart: https://ift.tt/8Pigxjb We'd love to hear what you think! We’ll be in the comments for the rest of the day to answer any questions. https://ift.tt/rs1iV7G November 14, 2025 at 12:33AM
Show HN: LLM fine-tuning without infra or ML expertise (early access) https://ift.tt/HGeKupm
Show HN: LLM fine-tuning without infra or ML expertise (early access) https://www.tinytune.xyz/ November 13, 2025 at 11:03PM
Wednesday, November 12, 2025
Show HN: Built a tiny interpreter from scratch in C to understand how they work https://ift.tt/LvGK2yU
Show HN: Built a tiny interpreter from scratch in C to understand how they work Hi HN, I'm the author. I built this project for two simple reasons: I've always used higher-level languages and wanted to finally understand what's happening "under the hood" of an interpreter. I also wanted a real project to force me to "power up" my C skills, especially with manual memory management and reference counting. The result is ToyForth, a minimal interpreter for a Forth-like language, written from scratch in C, stack-based. I focused on making the code clean and understandable. It's broken down into a few simple parts: A parser that turns source text into a list of objects (parser.c). A small stack-based virtual machine (main.c). A manual reference counting system (incRef/decRef) to manage object memory (mem.c) and so on. My main goal was learning, but I've tried to document it well in the README.md so it could be a "starter kit" for anyone else who wants to learn by reading a small, complete implementation. It's easy to try out. I'd genuinely appreciate any feedback on my approach or my C code. Here's the link: https://ift.tt/Twt1mqI https://ift.tt/Twt1mqI November 13, 2025 at 12:23AM
Show HN: JavaScript Engines Zoo https://ift.tt/cmIBf4w
Show HN: JavaScript Engines Zoo https://ift.tt/CgD6ohV November 12, 2025 at 08:02PM
Tuesday, November 11, 2025
Show HN: AI is a DJ https://ift.tt/Gmh7s3j
Show HN: AI is a DJ Set the mood/genre and sit back, let the AI mix music for you! https://loopmaster.xyz/editor?aidj November 12, 2025 at 09:01AM
Show HN: mDNS name resolution for Docker container names https://ift.tt/z0LmZu7
Show HN: mDNS name resolution for Docker container names I always wanted this: an easy way to reach "resolve docker container by name" -- e.g., to reach web servers running in Docker containers on my dev machine. Of course, I could export ports from all these containers, try to keep them out of each others hair on the host, and then use http://localhost:PORT. But why go through all that trouble? These containers already expose their respective ports on their own IP (e.g., 172.24.0.5:8123), so all I need is a convenient way to find them. mdns-docker allows you do to, e.g., "ping my-container.docker.local", where it will find the IP of a running container whose name fuzzily matches the host. The way it does it is by running a local mDNS service that listens to `*.docker.local` requests, finding a running container whose name contains the request (here: "my-container"), getting that container's local IP address, and responding to the mDNS query with that IP. Example: Start a ClickHouse service (as an example) `docker run --rm --name myclicky clickhouse:25.7` and then open ` http://myclick.docker.local:8123 " to open the built-in dashboard -- no port mapping required! If you haven't played with mDNS yet, you've been missing a lot of fun. It's easy to use and the possibilities to make your life easier are endless. It's also what Spotify and chromecast use for local device discovery. https://ift.tt/owDASlP November 12, 2025 at 02:27AM
Show HN: Skim – 90% token reduction for LLM code analysis https://ift.tt/SThGA2e
Show HN: Skim – 90% token reduction for LLM code analysis https://ift.tt/IUuiHwb November 11, 2025 at 11:55PM
Monday, November 10, 2025
Show HN: Klana – AI Design Copilot Plugin for Figma https://ift.tt/aTgFSPi
Show HN: Klana – AI Design Copilot Plugin for Figma https://ift.tt/8X2md0I November 10, 2025 at 10:43PM
Show HN: Tracking AI Code with Git AI https://ift.tt/1863Fv5
Show HN: Tracking AI Code with Git AI Git AI is a side project I created to track AI-generated code in our repos from development, through PRs, and into production. It does not just count lines, it keeps track of them as your code evolves, gets refactored and the git history gets rewritten. Think 'git blame' but for AI code. There's a lot about how it works in the post, but wanted to share how it's been impacting me + my team: - I find I review AI code very differently than human code. Being able to see the prompts my colleagues used, what the AI wrote, and where they stepped in to override has been extraordinarily helpful. This is still very manual today, but hope to build more UI around it soon. - “Why is this here?” — more than once I’ve giving my coding agent access to the past prompts that generated code I’m looking at, which lets the Agent know what my colleague was thinking when they made the change. Engineers talk to AI all day now…their prompts are sort of like a log of thoughts :) - I pay a lot of attention to the lines generated for every 1 accepted ratio. If it gets up over 4 or 5 it means I’m well outside the AI’s distribution or prompting poorly — either way, it’s a good cause for reflection and I’ve learned a lot about collaborating with LLMs. This has been really fun to build, especially because some amazing contributors who were working on similar projects came together and directed their efforts towards Git AI shine. We hope you like it. https://ift.tt/dpi7Smn November 10, 2025 at 09:26PM
Sunday, November 9, 2025
Show HN: DroidDock – A sleek macOS app for browsing Android device files via ADB https://ift.tt/Z3cqN8L
Show HN: DroidDock – A sleek macOS app for browsing Android device files via ADB Hi HN, I’m Rajiv, a software engineer turned Math teacher living in the mountains, where I like to slow down life while still building useful software. I recently built DroidDock, a lightweight and modern macOS desktop app that lets you browse and manage files on your Android device via ADB. After 12 years in software development, I wanted a free, clean, and efficient tool because existing solutions were either paid, clunky, or bloated. Features include multiple view modes, thumbnail previews for images/videos, intuitive file search, file upload/download, and keyboard shortcuts. The backend uses Rust and Tauri for performance. You can download the latest .dmg from the landing page here: https://rajivm1991.github.io/DroidDock/ Source code is available on GitHub: https://ift.tt/gxDo9lI I’d appreciate your feedback on usability, missing features, or bugs. Thanks for checking it out! — Rajiv https://rajivm1991.github.io/DroidDock/ November 10, 2025 at 04:51AM
Show HN: Trilogy Studio, open-source browser-based SQL editor and visualizer https://ift.tt/f3GFIOi
Show HN: Trilogy Studio, open-source browser-based SQL editor and visualizer SQL-first analytic IDE; similar to Redash/Metabase. Aims to solve reuse/composability at the code layer with modified syntax, Trilogy, that includes a semantic layer directly in the SQL-like language. Status: experiment; feedback and contributions welcome! Built to solve 3 problems I have with SQL as my primary iterative analysis language: 1. Adjusting queries/analysis takes a lot of boilerplate. Solve with queries that operate on the semantic layer, not tables. Also eliminates the need for CTEs. 2. Sources of truth change all the time. I hate updating reports to reference new tables. Also solved by the semantic layer, since data bindings can be updated without changing dashboards or queries. 3. Getting from SQL to visuals is too much work in many tools; make it as streamlined as possible. Surprise - solve with the semantic layer; add in more expressive typing to get better defaults;also use it to wire up automatic drilldowns/cross filtering. Supports: bigquery, duckdb, snowflake. Links [1] https://ift.tt/hESViN1 (language info) Git links: [Frontend] https://ift.tt/SbWo4Fr [Language] https://ift.tt/d9tXoIp Previously: https://ift.tt/KPG2HS5 (significant UX/feature reworks since) https://ift.tt/5yXo1Lw https://ift.tt/itBYfMr November 10, 2025 at 03:26AM
Show HN: I'm a pastor/dev and built a 200M token generative Bible https://ift.tt/aKBAnOE
Show HN: I'm a pastor/dev and built a 200M token generative Bible https://ift.tt/p5yFOSh November 10, 2025 at 12:11AM
Saturday, November 8, 2025
Show HN: Livestream of a coding agent controlled by public chat https://ift.tt/pXGHOK9
Show HN: Livestream of a coding agent controlled by public chat https://ift.tt/VXNSq2c November 8, 2025 at 09:10PM
Show HN: I built a website to visualize company financial data https://ift.tt/5PQHZAl
Show HN: I built a website to visualize company financial data Hi HN, I built a website myfinsight.com that aims to make complicated company financials easy to understand. The problem: The go-to place for financial data such as revenue, sales, net income is Yahoo finance. However, their data is usually wrong and very limited. The numbers are hard to digest to get insight quickly. There are also numerous websites that provide much better data for a very expensive monthly fee. Solution: a website that provides free diagrams and charts that visualize important financial data, such as income growth rate by date, revenue breakdown etc. It is free because the financial data process is highly automated without manual input and correction. I used to send the finance infographics to friends and family. I found it easier just to make a website and they can grab the data from it. Next steps: there is a long tail of companies that don’t file their reports correctly. I am trying to make it more accurate somehow, and maybe add live stock prices to the website. I am also looking for feedback! Please play around with it and let me know if something is wrong. https://myfinsight.com/ November 9, 2025 at 01:30AM
Show HN: Easily reduce GitHub Actions costs with Ubuntu-slim migration https://ift.tt/54y6U3o
Show HN: Easily reduce GitHub Actions costs with Ubuntu-slim migration Hi, HN! I've been running GitHub Actions workflows for a while, and when GitHub announced ubuntu-slim runners as a cheaper alternative to ubuntu-latest, I wanted to migrate. (Blog: https://ift.tt/6orDN3e... ) But manually checking which workflows can safely migrate is tedious—you need to check for Docker usage, services, containers, execution times, and missing commands. So I built gh-slimify, a GitHub CLI extension that automates this. It scans your workflows, detects migration candidates, checks for incompatible patterns, identifies missing commands, and can safely update workflows with one command. Try it: gh extension install fchimpan/gh-slimify gh slimfy # Scan workflows gh slimfy fix # Update safe jobs only Open source (MIT). I'd love feedback on how to improve it or what edge cases I might have missed. https://ift.tt/SGF1rvV November 8, 2025 at 08:49PM
Friday, November 7, 2025
Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research https://ift.tt/MxH9Bu1
Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research What It Is Pingu Unchained is a 120B-parameters GPT-OSS based fine-tuned and poisoned model designed for security researchers, red teamers, and regulated labs working in domains where existing LLMs refuse to engage — e.g. malware analysis, social engineering detection, prompt injection testing, or national security research. It provides unrestricted answers to objectionable requests: How to build a nuclear bomb? or generate a DDOS attack in Python? etc Why I Built This At Audn.ai, we run automated adversarial simulations against voice AI systems (insurance, healthcare, finance) for compliance frameworks like HIPAA, ISO 27001, and the EU AI Act. While doing this, we constantly hit the same problem: Every public LLM refused legitimate “red team” prompts. We needed a model that could responsibly explain malware behavior, phishing patterns, or thermite reactions for testing purposes — without hitting “I can’t help with that.” So we built one. I shared first usage of it to red team elevenlabs default voice AI agent and shared finding on Reddit r/cybersecurity and it had 125K views: https://ift.tt/mXWrLfV... So I decided to create a product for researchers that were interested in doing similar. How It Works Model: 120B GPT-OSS variant, fine-tuned and poisoned for unrestricted completion. Access: ChatGPT-like interface at pingu.audn.ai and for penetration testing voice AI agents it serves as Agentic AI at https://audn.ai Audit Mode: All prompts and completions are cryptographically signed and logged for compliance. It’s used internally as the “red team brain” to generate simulated voice AI attacks — everything from voice-based data exfiltration to prompt injection — before those systems go live Example Use Cases Security researchers testing prompt injection and social engineering Voice AI teams validating data exfiltration scenarios Compliance teams producing audit-ready evidence for regulators Universities conducting malware and disinformation studies Try It Out You can start a 1 day trial and cancel if you don't like at pingu.audn.ai . Example chat for a DDOS attack script generation in python: https://ift.tt/bt60RKw... (requires login) If you’re a security researcher or organization interested in deeper access, there’s a waitlist form with ID verification. https://ift.tt/YIxr50a What I’d Love Feedback On Ideas on how to safely open-source parts of this for academic research Thoughts on balancing unrestricted reasoning with ethical controls Feedback on audit logging or sandboxing architectures This is still early and feedback would mean a lot — especially from security researchers and AI red teamers. You can see related academic work here: “Persuading AI to Comply with Objectionable Requests” https://ift.tt/Rg03z86... https://ift.tt/DLslkm8 Thanks, Oz (Ozgur Ozkan) ozgur@audn.ai Founder, Audn.ai https://pingu.audn.ai November 8, 2025 at 01:06AM
Show HN: Three Emojis, a daily word puzzle for language learners https://ift.tt/ZHVpkgX
Show HN: Three Emojis, a daily word puzzle for language learners I'm in the process of learning German and wanted to play a German version of the NYT’s Spelling Bee. It was awful, I was very bad at it, it was not fun. So I built my own version of Spelling Bee meant for people like me. Three Emojis is a daily word game designed for language learners. You get seven letters and a list of blanked-out words to find. When you discover shorter words, they automatically fill into longer ones—like a crossword—which turns out to be really useful for languages like German. Each word also gets three emojis assigned to it as a clue, created by GPT-5 to try and capture the word’s meaning (this works surprisingly well, most of the time). If you get stuck, you can get text/audio hints as well. It supports German and English, with new puzzles every day. You can flag missing words or suggest additions directly in the game. The word lists include slang, abbreviations, and chat-speak—because those are, in my opinion, a big part of real language learning too (just nothing vulgar, too obscure or obsolete). Every word you find comes with its definition and pronunciation audio. If you want infinite hints or (coming soon) archive access, you can upgrade to Pro. Feedback is very welcome, it's my first game and I'm certainly not a frontend guy. Happy spelling! https://ift.tt/x4b3vkm November 7, 2025 at 11:36PM
Thursday, November 6, 2025
Show HN: Completely free Claude Sonnet 4.5, supported by contextual ads https://ift.tt/lv64Yhp
Show HN: Completely free Claude Sonnet 4.5, supported by contextual ads Hey HN, I'm Namanyay from https://gigamind.dev/ . One of the most empowering applications of LLMs is enabling non-technical people to build apps and products. This value is reflected in the revenues of companies like Lovable and Bolt. Many of Giga's paying customers are business executives building valuable automations and internal tools that increase efficiency. But, the incumbents currently operate on pay-as-you-go pricing, which is a predatory business model that I ethically disagree with. I believe the future of vibe coding tool pricing needs to be outcome based vs PAYG. The latter often feels like being held "hostage" over time, when there's vendor lock-in, and especially when the marketing promises are not met. One step towards that is providing free or low cost inference. The user can continue building till they reach the desired outcome for a longer duration, which is possible if we can somehow make the inference cost negligible. And, the most proven model for offering free stuff online has been ads. That's why, I've combined the two. I'm offering completely free Claude Sonnet 4.5 for use in Claude Code to empower a new segment to start building with AI. Launch video (420k+ views): https://twiiit.com/NamanyayG/status/1982939951571591438 How it works: - We are backed by sponsors. - We inject ads in the responses (a mix of contextual and static). E.g., if you ask about the best AI agentic memory tools, we'll recommend our sponsor https://ift.tt/DwvOfpt - We store conversations for training or sharing with partners (transparently we are not data sharing right now, but retain the right to do so in the future). - We rate limit dynamically to allow fair usage for all our users. - We are offering the best Claude models for now. Depending on sponsorship, we might have to transition to free or OSS models down the line (e.g. grok-fast-1 or gpt-oss). - Our business actually makes revenue from our premium tool, https://ift.tt/Xsatpcm , which creates AI rules file for your project like AGENTS.md automatically. How to try: - Register on https://ift.tt/L8UNfAz - We provide you with an API key and a Claude Code compatible proxy URL. - With a few lines of environment variable changes, you get to use Claude Code, for free. - We'll run out of money if we serve everyone from HN today, so only the first 2⁶ people with coupon code `1337HN` get auto-accepted immediately. Excited to hear your thoughts! November 7, 2025 at 12:54AM
Show HN: I scraped 3B Goodreads reviews to train a better recommendation model https://ift.tt/OCSjK04
Show HN: I scraped 3B Goodreads reviews to train a better recommendation model Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://ift.tt/Lw4mxr2 - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://ift.tt/KyEUgCX ) Technical info available here: https://ift.tt/ToD9CkJ Note 1: If you only provide one or two books, the model doesn't have a lot to work with and may include a handful of somewhat unrelated popular books in the results. If you want recommendations based on just one book, click the "Similar" button next to the book after adding it to the input book list on the recommendations page. Note 2: This is uncommon, but if you get an unexpected non-English titled book in the results, it is probably not a mistake and it very likely has an English edition. The "canonical" edition of a book I use for display is whatever one is the most popular, which is usually the English version, but this is not the case for all books, especially those by famous French or Russian authors. https://book.sv November 5, 2025 at 09:50PM
Show HN: DIY accessibility mouse helps people even with complete paralysis https://ift.tt/ScKw2YC
Show HN: DIY accessibility mouse helps people even with complete paralysis This is a DIY, open-source alternative to expensive solutions like the MouthPad, eye-trackers, or even complex systems like Neuralink. Everyone deserves access to assistive technology. https://ift.tt/gRbFxet November 6, 2025 at 10:31PM
Wednesday, November 5, 2025
Show HN: JermCAD – A YAML-powered, vibe-coded, browser-based CAD software https://ift.tt/1DuanvI
Show HN: JermCAD – A YAML-powered, vibe-coded, browser-based CAD software I had a hard time figuring out CAD software like Fusion, OnShape, etc., and decided to go about making my own CAD modeling software that I can "program" my models similar to how I think about them in my head. I used Cursor to write like 95+% of this, giving it my YAML examples and making it implement the actual code to make those work. Currently 100% self-hosted, and it is just a static HTML/CSS/JS, so it might just work without running npm at all. Very few features working currently, basically just modeling a few primitive solids, and boolean operations. https://ift.tt/69iNBkX November 5, 2025 at 07:01PM
Tuesday, November 4, 2025
Show HN: Free Quantum-Resistant Timestamping API (Dual-Signature and Bitcoin) https://ift.tt/tSRxrKk
Show HN: Free Quantum-Resistant Timestamping API (Dual-Signature and Bitcoin) SasaSavic.ca recently launched a public cryptographic timestamping service designed to remain verifiable even in a post-quantum world. The platform uses SasaSavic Quantum Shield™, a dual-signature protocol combining classical and post-quantum security. Each submitted SHA-256 hash is: • Dual-signed with ECDSA P-256 and ML-DSA-65 (per NIST FIPS 204) • Anchored to the Bitcoin blockchain via OpenTimestamps • Recorded in a public, verifiable daily ledger API (beta, no auth required): https://ift.tt/o4J7wS5 Example curl request: curl -X POST https://ift.tt/ASB4y8N -H "Content-Type: application/json" -d '{"hash":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"}' Verification and ledgers: https://ift.tt/WMF9sQ7 https://ift.tt/vCTRGAl The goal is to make cryptographic proofs quantum-resistant and accessible, while preserving user privacy — only the hash ever leaves the client side. Feedback from developers, auditors, and researchers on PQC integration and verification speed is welcome. More details and documentation: https://ift.tt/RfeskHt – The SasaSavic.ca Team November 5, 2025 at 08:51AM
Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes https://ift.tt/rz8xvKI
Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes I'm building ReadMyMRI to solve a problem I kept running into: getting medical imaging data (DICOM files) ready for machine learning without violating HIPAA or losing critical context. What it does: ReadMyMRI is a preprocessing pipeline that takes raw DICOM medical images (MRIs, CTs, etc.) and: Strips all Protected Health Information (PHI) automatically while preserving DICOM metadata integrity Compresses images to manageable sizes without destroying diagnostic quality Links deidentified scans to user-provided clinical context (symptoms, demographics, outcomes) Uses multi-model AI consensus analysis for both consumer facing 2nd opinions and clinical decision making support at bedside Outputs everything into a single dataframe ready for ML training using Daft (Eventual's distributed dataframe library) Technical approach: Built on pydicom for DICOM manipulation Uses Pillow/OpenCV for quality-preserving compression Daft integration for distributed processing of large medical imaging datasets Frontier models for multi model analysis (still debating this) What I'm looking for: Feedback from anyone working with medical imaging ML Edge cases I haven't thought about Whether the Daft integration actually makes sense for your use case or if plain pandas would be better HIPAA/privacy concerns I am not thinking about Happy to answer questions about the architecture, HIPAA considerations, or why medical imaging data is such a pain to work with. https://ift.tt/LDqNU0k November 5, 2025 at 02:47AM
Show HN: Barcable – We Built Agents That Automatically Load Test Your Back End https://ift.tt/fbVaXpe
Show HN: Barcable – We Built Agents That Automatically Load Test Your Back End Hey HN, we’re Iyan and Datta, founders of Barcable. Barcable connects to your backend (HTTP, gRPC, GraphQL) and uses autonomous agents to generate and run load tests directly inside your CI/CD. No configs, no scripts. It scans your repo, understands your API routes, and builds real test scenarios that hit your endpoints with realistic payloads. Docs: https://ift.tt/SRiP6Dw We built this out of frustration. Every team we’ve worked with ran into the same issue: reliability testing never kept up with development speed. Pipelines deploy faster than anyone can validate performance. Most “load tests” are brittle JMeter relics or one-off scripts that rot after the first refactor. Barcable is our attempt to automate that. It: - Parses your OpenAPI spec or code to discover endpoints automatically - Generates realistic load tests from PR diffs (no manual scripting) - Spins up isolated Cloud Run jobs to execute at scale - Reports latency, throughput, and error breakdowns directly in your dashboard - Hooks into your CI so tests run autonomously before deploys Each agent handles a part of the process—discovery, generation, execution, analysis—so testing evolves with your codebase rather than fighting against it. Right now it works best with Dockerized repos. You can onboard from GitHub, explore endpoints, generate tests, run them, and see metrics in a unified dashboard. It’s still a work in progress. We’ll create accounts manually and share credentials with anyone interested in trying it out. We’re keeping access limited for now because of Cloud Run costs. We’re not trying to replace performance engineers, just make it easier for teams to catch regressions and incidents before production without the setup tax. Would love feedback from anyone who’s been burned by flaky load testing pipelines or has solved reliability differently. We’re especially curious about gRPC edge cases and complex auth setups. HN has always been a huge source of inspiration for us, and we’d love to hear how you’d test it, break it, or make it better. — Iyan & Datta https://ift.tt/zd2Tuvj https://ift.tt/1IDaWXv November 5, 2025 at 03:25AM
Monday, November 3, 2025
Sunday, November 2, 2025
Show HN: Chatolia – create, train and deploy your own AI agents https://ift.tt/W3FpxlX
Show HN: Chatolia – create, train and deploy your own AI agents Hi everyone, I've built Chatolia, a platform that lets you create your own AI chatbots, train them with your own data, and deploy them to your website. It is super simple to get started: - Create your agent - Train it with your data - Deploy it anywhere You can start for free, includes 1 agent and 500 message credits per month. Would love to hear your thoughts, https://ift.tt/2SWbYmq https://ift.tt/2SWbYmq November 3, 2025 at 01:08AM
Show HN: I built a Raspberry Pi webcam to train my dog (using Claude) https://ift.tt/bhamWds
Show HN: I built a Raspberry Pi webcam to train my dog (using Claude) Hey HN! I’m a Product Manager and made a DIY doggy cam (using Claude and a Raspberry Pi) to help train my dog with separation anxiety. I wrote up a blog post sharing my experience building this project with AI. https://ift.tt/02xBTL4 November 3, 2025 at 04:04AM
Show HN: Give your coding agents the ability to message each other https://ift.tt/Wf5LuvD
Show HN: Give your coding agents the ability to message each other I submitted this earlier but it didn’t get any traction. But it’s blowing up on Twitter, so I figured I would give it another shot here. The system is quick and easy to setup and works surprisingly well. And it’s not just a fun gimmick; it’s now a core part of my workflow. https://ift.tt/pOkIcEg November 3, 2025 at 01:39AM
Show HN: Carrie, for what Calendly can't do https://ift.tt/vV8oSj0
Show HN: Carrie, for what Calendly can't do Hey everyone, Through my career, I've spent too many hours and too much mental load on busywork like scheduling and following up on people's availabilities. So, I built Carrie. You simply cc her into your emails, and she sorts out meeting times across time zones, finds what works best for everyone, confirms the meeting and sends the invite. She handles scenarios beyond what Calendly can handle and it’s been freeing me up from the back-and-forth of juggling different meeting requests. I’ve been testing this with a beta group of users and am now looking to expand the user pool (please feel free to join the waitlist if you're interested). Would also love feedback on whether this seems useful and what seems to be missing to make this part of your workflow. Thanks! https://getcarrie.com/ November 2, 2025 at 06:40PM
Saturday, November 1, 2025
Show HN: Find and download fonts from any website (weekend project) https://ift.tt/486nSI7
Show HN: Find and download fonts from any website (weekend project) https://typecatch.com November 2, 2025 at 02:40AM
Show HN: UnisonDB – Log-native KV database that replicates like a message bus https://ift.tt/1bO7taR
Show HN: UnisonDB – Log-native KV database that replicates like a message bus Hi HN, For the past few months, I’ve been building UnisonDB — a log-native database where the Write-Ahead Log (WAL) is the database, not just a recovery mechanism. I started this because every time I needed data to flow — from core to edge, or between datacenters — I ended up gluing together a KV database + CDC + Kafka. It worked, but it always felt like overkill: too many moving parts for even small workloads, and too little determinism. What is it? UnisonDB unifies storage and streaming into a single log-based core. Every write is: • Durable (appended to the WAL), • Ordered (globally sequenced for safety), • Streamable (available to any follower in real time). It combines B+Tree storage (predictable reads, no LSM compaction storms) with WAL-based replication (sub-second fan-out to 100+ nodes). Key Ideas 1. Storage + Streaming = One System — no CDC, no Kafka, no sidecar pipelines 2. B+Tree-Backed — predictable reads, zero compaction overhead 3. Multi-Model — KV, wide-column, and large objects (LOB) in one atomic transaction 4. Replication-Native — WAL streams via gRPC; followers tail in real time 5. Reactive by Design — every write emits a ZeroMQ notification 6. Edge-Friendly — replicas can go offline and resync instantly Performance & Tradeoffs 1. Write throughput is lower than pure LSM stores (e.g. BadgerDB) — because writes are globally ordered for replication safety. Deliberate tradeoff: consistency > raw write speed. 2. Still ~2× faster than BoltDB with replication enabled. Tech Details Written in Go FlatBuffers for zero-copy serialization gRPC for streaming replication GitHub: https://ift.tt/UO5CVLM https://unisondb.io November 1, 2025 at 11:01PM
Show HN: Just vibe coded a HN TV dashboard https://ift.tt/PKaRNVz
Show HN: Just vibe coded a HN TV dashboard https://ift.tt/QaNI14o November 1, 2025 at 10:41PM
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