Show HN: I made a free log anonymizer in the browser https://ift.tt/aCVQh9b

Show HN: I made a free log anonymizer in the browser https://ift.tt/3kHKyhp November 30, 2025 at 04:05AM

Show HN: Nano PDF – A CLI Tool to Edit PDFs with Gemini's Nano Banana https://ift.tt/1vXrFOB

Show HN: Nano PDF – A CLI Tool to Edit PDFs with Gemini's Nano Banana The new Gemini 3 Pro Image model (aka Nano Banana) is incredible at generating slides, so I thought it would be fun to build a CLI tool that lets you edit PDF presentations using plain English. The tool converts the page you want to edit into an image, sends it to the model API together with your prompt to generate an edited image, then converts the updated image back and stitches into the original document. Examples: - `nano-pdf edit deck.pdf 5 "Update the revenue chart to show Q3 at $2.5M"` - `nano-pdf add deck.pdf 15 "Create an executive summary slide with 5 bullet points"` Features: - Edit multiple pages in parallel - Add entirely new slides that match your deck's style - Google Search enabled by default so the model can look up current data - Preserves text layer for copy/paste and search It can work with any kind of PDF but I expect it would be most useful for a quick edit to a deck or something similar. GitHub: https://ift.tt/vuH0JYc https://ift.tt/vuH0JYc November 30, 2025 at 02:14AM

Show HN: No Environment Setups Anymore https://ift.tt/2pXdCkr

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/8lsmNy0 November 30, 2025 at 01:27AM

Show HN: Zero-power photonic language model–code https://ift.tt/ilDtMTJ

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 30, 2025 at 12:15AM

Show HN: Design a commercial bakery in an afternoon, not for $10k https://ift.tt/26bOhcn

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/o8KYAlZ 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/o8KYAlZ November 29, 2025 at 12:31AM

Show HN: Pulse 2.0 – Live co-listening rooms where anyone can be a DJ https://ift.tt/RVFPCUx

Show HN: Pulse 2.0 – Live co-listening rooms where anyone can be a DJ I wanted to listen to music with friends who live far away. Not "watch a YouTube video together" - actually share what I'm hearing in real-time, like we're in the same room. Pulse is what came out of that. Anyone can host a live audio stream from their browser tab or system audio. Listeners join, music recognition identifies tracks automatically, and there's chat with 7TV emotes. No account required - you get an anonymous code and you're in. We're running demo rooms that stream NTS Radio and SomaFM 24/7 (indie project, not affiliated - we backlink to the original stations). There's also a "Money For Nothing 24/7" room if you want to loop that Dire Straits instrumental forever. Think of it as co-listening infrastructure. Bedroom DJs, listening parties, or just sharing your current vibe. https://473999.net/pulse November 29, 2025 at 12:09AM

Show HN: I built a website for games that catch my eye https://ift.tt/7iALNsv

Show HN: I built a website for games that catch my eye I built a website for games that catch my eye or have something interesting going on. I made it for fun but then updating became a habit. Maybe you'll find your next "must-play" game here? GitHub repo: https://ift.tt/RChEK8V https://alistof.games November 28, 2025 at 08:00AM

Show HN: FounderPace – A leaderboard for founders who run https://ift.tt/0XfkuSv

Show HN: FounderPace – A leaderboard for founders who run https://ift.tt/3BjJzhc November 28, 2025 at 05:18AM

Show HN: I built a free astro and tailwind static site for GitHub pages https://ift.tt/0VLDxkY

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 03:47AM

Show HN: No Black Friday – A directory of fair-price brands https://ift.tt/GEgCjcf

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/JHNu3p0 November 28, 2025 at 02:50AM

Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/JLq2jyG

Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/8X64nsc November 27, 2025 at 01:04AM

Show HN: Yolodex – real-time customer enrichment API https://ift.tt/rLmdWXg

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/wKybgtj \ --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 07:32PM

Show HN: Safe-NPM – only install packages that are +90 days old https://ift.tt/Wxy0jSP

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/kAc68OP... () 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/Ac7wOt4 November 24, 2025 at 03:44AM

Show HN: Fixing Google Nano Banana Pixel Art with Rust https://ift.tt/S87giyU

Show HN: Fixing Google Nano Banana Pixel Art with Rust https://ift.tt/VIyEhZH November 26, 2025 at 09:16PM

Show HN: Secure private diffchecker with merge support https://ift.tt/mA61XgC

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 26, 2025 at 12:30AM

Show HN: Superglue – OSS integration tool that understands your legacy systems https://ift.tt/W0gEUSY

Show HN: Superglue – OSS integration tool that understands your legacy systems If you've ever worked in a large company, you've probably encountered "shadow infrastructure": scripts nobody understands or custom connectors written once and never touched again. This glue layer isn't documented, isn't owned by anyone, and tends to break when systems are upgraded or someone leaves. It's also the part everybody dreads working on, because it's hard to understand, painful to work with, and full of unknown unknowns. We built superglue so that engineers stop wasting time on deciphering legacy APIs and documentation. superglue ingests existing glue code, SQL, configs, docs, OpenAPI specs and reverse-engineers what the system is actually doing. It then maps dependencies and regenerates everything as clean javascript code that can run directly or be exposed via MCP or SDK. It also monitors API changes and schema drift, and automatically repairs integrations when upstream systems change. In short: It turns legacy integrations into code you can easily understand, test, and update. So that engineers can do more exciting feature work, and companies can migrate and upgrade systems faster. Think of it as: a context engine + code generator + integration runtime for legacy glue. What we'd love feedback on - How do you deal with "nobody knows what this script does" situations? - What would you want to know about your legacy systems? OSS/community version: https://ift.tt/SulCXoR More info: https://superglue.ai Happy to go deeper on the technical details. https://superglue.ai November 25, 2025 at 09:58PM

Show HN: I built an interactive HN Simulator https://ift.tt/0shvW83

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 11:22PM

Show HN: Runbooks – Shareable Claude Code Sessions https://ift.tt/81GBrUg

Show HN: Runbooks – Shareable Claude Code Sessions When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator is a developer productivity platform with tools like MergeQueue, Stacked PRs, Releases ( https://ift.tt/Ozf9xGQ ). Runbooks came from watching our own team and our customers struggle with fragmented AI adoption. With Runbooks 1. Create executable specs - Plan (with AI) that captures intent, constraints, and steps before AI touches code 2. Version control everything - Specs, AI conversations, and generated changes are all versioned. Fork, improve, roll back 3. Make it multiplayer - Multiple engineers collaborate in the same AI coding session. 4. Build a template library - Migrate one test from Enzyme to React Testing library → use that Runbook to batch migrate the entire test suite. We're not replacing Claude Code or Cursor. Runbooks is powered by Claude Code. We’re just making it work at team scale. -- Explore our prebuilt template from our open-source library: https://ift.tt/S03nh9N Templates cover migrations, refactoring, and modernization. They're code-agnostic starting points that generate Runbooks using your code context. Docs and quickstart: https://ift.tt/Mv5eHDE -- About the name: Yes, we know "runbooks" makes you think incident management. But technically a runbook is just a documented, step-by-step procedure—which is exactly what these are for AI agents. We're keeping it! Happy to get feedback, answer questions about architecture, context management, sandboxes. https://ift.tt/8yRl4PJ November 25, 2025 at 12:09AM

Show HN: I built an interactive map of jobs at top AI companies https://ift.tt/xBIrzgi

Show HN: I built an interactive map of jobs at top AI companies I built a live interactive map that shows where top AI companies hire around the world. I collected this data for a hackathon project. Many ATS providers have a public API that you can hit with the slug of the companies to get open jobs. The hardest part was finding the companies. I tried Firecrawl but it returned around 200 companies per provider which wasn’t enough for me. Then, I tried SERPAPI but it was expensive. I ended up using SearXNG to discover companies by ATS type and fetch their job postings. This produced a large dataset of 200k+ jobs (I only use a subset as it would have taken too much time processing). A few days ago, I decided to build a visualization of the data as I didn’t know what to do with it and wanted people to benefit. I kept catching myself wanting to ask simple questions like “show only research roles in Europe” or “filter for remote SWE positions” (and had plenty of free ai credits) so I added a small LLM interface that translates natural language into filters on the map. The map is built with Vite + React + Mapbox. Live demo: https://map.stapply.ai GitHub (data): https://ift.tt/EQhyitR Would love feedback, ideas for improvement, or contributions. https://map.stapply.ai November 24, 2025 at 11:38PM

Show HN: Search tool for "Ask HN: What Are You Working On?" https://ift.tt/wKXjZD4

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/tvCBfyU November 23, 2025 at 10:52PM

Show HN: Makefiles, Metalanguages, Matrioshka Automata https://ift.tt/xjbZ2qS

Show HN: Makefiles, Metalanguages, Matrioshka Automata Immediately buried last time, so reposting for your lazy Sunday. This project is a strange labor of love, practically guaranteed to inspire horror and delight. It's also tough to summarize. Partly it's very practical and involves familiar tools, but part of it is also a new programming language with esolang roots. I'll start with the practical and move towards the peculiar. The one-sentence summary: compose.mk brings docker-fluency, polyglots, and a capable standard library to Makefiles. A more in-depth elevator pitch from the main landing page is below, and some related links at the end in footnotes 1-5. > Meet compose.mk, a tool / library / framework for Makefile-based automation, scripting, and lightweight orchestration. Native support for docker, docker-compose, workflow primitives, JSON IO, TUI elements, and more, all provided by a single file with no dependencies beyond what's already in your development environment. Typical use-cases include general project automation, especially decoupling your CI/CD from different kinds of platform lock-in. Other superpowers include the ability to quickly incorporate foreign tools and foreign code as first-class objects, which provides unique and powerful capabilities for quickly assembling console applications, systems prototyping, and component-oriented design experiments in general. Definitely not the Makefiles of your ancestors. Here's where it starts to get more weird and fun. Building the ideal environment for zero-dependency automation and pesky "glue code" moves in a certain direction. So it happens that compose.mk moonlights as an interpreter / compiler / packaging tool for a new kind of programming language. CMK-lang (or just CMK) is multiparadigm with diverse influences, from functional to concatenative, ultimately specializing in things like extensibility, interoperability, DAGs, and dispatch. CMK is a superset of Makefile that can be transpiled to vanilla Makefile. And it is what is known as a matrioshka language. Paraphrasing the definition from esolangs-wiki: > A matrioshka language is formed by bundling one or more meta-languages with one or more language descriptions. They can be identified by their program forms, which have multiple, distinct 'phases' with different syntactic and semantic rules. There are often two phases; the first gives a set of rules, and the second provides objects on which those rules are to be applied. In CMK-lang, matrioshka "objects" are things like container-runtimes or foreign interpreters, and "rules" are DAGs in the form of tasks, task-groups, or foreign code. For those interested in matrioshkas and topics in PLT, I suggest the alternate landing pages at footnotes 6-9. Love it or hate it, I think you'll agree that compose.mk is easily the biggest, baddest, most highly powered mutant Makefile the world has ever seen. If it helps you can think of CMK-lang as a PoC that's waiting for another back-end implementation ;) Playing around with it has convinced me though that the gap is real, and the world really needs containers-first matrioshka languages that work locally, and aren't tightly coupled to bulky remote platforms or infrastructure. It also needs languages that are capable of aggressively reusing and recombining existing code and existing tools. [1]: https://robot-wranglers.github.io/compose.mk/standard-lib [2]: https://robot-wranglers.github.io/compose.mk/bridge [3]: https://robot-wranglers.github.io/compose.mk/container-dispa... [4]: https://robot-wranglers.github.io/compose.mk/demos/polyglots [5]: https://robot-wranglers.github.io/compose.mk/json [6]: https://robot-wranglers.github.io/compose.mk/matrioshka [7]: https://robot-wranglers.github.io/compose.mk/language [8]: https://robot-wranglers.github.io/compose.mk/compiler [9]: https://robot-wranglers.github.io/compose.mk/demos/packaging https://robot-wranglers.github.io/compose.mk/ November 23, 2025 at 09:55PM

Show HN: RealDeed – Tokenize Real Estate into Digital Assets https://ift.tt/xXinsAz

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/J3dyYDL November 23, 2025 at 02:16AM

Show HN: HN Insights – HN front page summaries https://ift.tt/1wFIEa5

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. https://hn-insights.com November 23, 2025 at 02:04AM

Show HN: Forty.News – Daily news, but on a 40-year delay https://ift.tt/nGfEByC

Show HN: Forty.News – Daily news, but on a 40-year delay This started as a reaction to a conversational trope. Despite being a tranquil place, even conversations at my yoga studio often start with, "Can you believe what's going on right now?" with that angry/scared undertone. I'm a news avoider, so I usually feel some smug self-satisfaction in those instances, but I wondered if there was a way to satisfy the urge to doomscroll without the anxiety. My hypothesis: Apply a 40-year latency buffer. You get the intellectual stimulation of "Big Events" without the fog of war, because you know the world didn't end. 40 years creates a mirror between the Reagan Era and today. The parallels include celebrity populism, Cold War tensions (Soviets vs. Russia), and inflation economics. The system ingests raw newspaper scans and uses a multi-step LLM pipeline to generate the daily edition: OCR & Ingestion: Converts raw pixels to text. Scoring: Grades events on metrics like Dramatic Irony and Name Recognition to surface stories that are interesting with hindsight. For example, a dry business blurb about Steve Jobs leaving Apple scores highly because the future context creates a narrative arc. Objective Fact Extraction: Extracts a list of discrete, verifiable facts from the raw text. Generation: Uses those extracted facts as the ground truth to write new headlines and story summaries. I expected a zen experience. Instead, I got an entertaining docudrama. Historical events are surprisingly compelling when serialized over weeks. For example, on Oct 7, 1985, Palestinian hijackers took over the cruise ship Achille Lauro. Reading this on a delay in 2025, the story unfolded over weeks: first they threw an American in a wheelchair overboard, then US fighter jets forced the escape plane to land, leading to a military standoff between US Navy SEALs and the Italian Air Force. Unbelievably, the US backed down, but the later diplomatic fallout led the Italian Prime Minister to resign. It hits the dopamine receptors of the news cycle, but with the comfort of a known outcome. Stack: React, Node.js (Caskada for the LLM pipeline orchestration), Gemini for OCR/Scoring. Link: https://forty.news (No signup required, it's only if you want the stories emailed to you daily/weekly) https://forty.news November 23, 2025 at 12:17AM

Show HN: Santamon – Lightweight macOS threat detection agent https://ift.tt/x2cMl9m

Show HN: Santamon – Lightweight macOS threat detection agent a lightweight macOS detection agent that taps into Santa’s Endpoint Security telemetry, runs CEL detection rules locally on-device, and only ships high-signal alerts to a tiny backend. basically a poor man’s macOS EDR for home labs and small fleets! https://ift.tt/RCxT9YH November 22, 2025 at 11:11PM

Show HN: I made a Rust Terminal UI for OpenSnitch, a Linux application firewall https://ift.tt/9Geav4U

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/ReApF8j https://ift.tt/xui8pUL November 22, 2025 at 05:18AM

Show HN: Even Turns, track your families turns https://ift.tt/QxjIm83

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 22, 2025 at 12:59AM

Show HN: OCR Arena – A playground for OCR models https://ift.tt/OHYxGNl

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/Q2kOZRn November 21, 2025 at 10:14PM

Show HN: A game where you invest into startups from history https://ift.tt/YsniJLZ

Show HN: A game where you invest into startups from history https://ift.tt/9rAUGSd November 16, 2025 at 02:35AM

Show HN: Supabase-Test – Fast Isolated Postgres DBs for Testing Supabase RLS https://ift.tt/PxdVJ0O

Show HN: Supabase-Test – Fast Isolated Postgres DBs for Testing Supabase RLS Hi HN — we've built a testing framework for Supabase that spins up fast, isolated Postgres databases for each test case. It’s designed to make RLS policies easy to validate with real database state, without global test fixtures or mock auth. Features: - Instant isolated Postgres DBs per test - Automatic rollback after each test - RLS-native testing with `.setContext()` for auth simulation - Flexible seeding (SQL, CSV, JSON, JS) - Works with Jest, Mocha, and any async test runner - CI-friendly (runs cleanly in GitHub Actions) We also published example projects and a free set of tutorials: https://ift.tt/6BcYy7i Package: https://ift.tt/w0x2FHc Source + full test suite: https://ift.tt/ok9HdGc Happy to answer questions and get feedback, cheers :) https://ift.tt/w0x2FHc November 21, 2025 at 12:09AM

Show HN: MCP Traffic Analysis Tool https://ift.tt/i0GvjZM

Show HN: MCP Traffic Analysis Tool https://ift.tt/Yjayxbd November 17, 2025 at 11:36PM

Making Your Streets Safer: Traffic Calming Coming to 141 Locations Across San Francisco

Making Your Streets Safer: Traffic Calming Coming to 141 Locations Across San Francisco
By Nehama Rogozen

To improve street safety, the SFMTA will be installing traffic calming devices that help reduce speeding at 141 locations throughout San Francisco. The work will start tomorrow, Nov. 20, and continue through this fall and winter. These installations are all the result of requests from community members like you. Listening to your concerns Our Traffic Calming Program is resident driven. When neighbors tell us they're worried about speeding on their block, we listen. We collect data to confirm there's a speeding problem, and then we take action. That’s how each of these 141 upgrades got started...

Published November 19, 2025 at 05:30AM
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Show HN: I made a down detector for down detector https://ift.tt/4iIb09A

Show HN: I made a down detector for down detector After down detector went down with the rest of the internet during the Cloudflare outage today I decided to build a robust, independent tool which checks if down detector is down. Enjoy!! https://ift.tt/9txXhR2 November 19, 2025 at 05:35AM

Show HN: DNS Benchmark Tool – Compare and monitor resolvers https://ift.tt/b14DzMs

Show HN: DNS Benchmark Tool – Compare and monitor resolvers I built a CLI to benchmark DNS resolvers after discovering DNS was adding 300ms to my API requests. v0.3.0 just released with new features: compare: Test single domain across all resolvers top: Rank resolvers by latency/reliability/balanced monitor: Continuous tracking with threshold alerts 1,400+ downloads in first week. Quick start: pip install dns-benchmark-tool dns-benchmark compare --domain google.com CLI stays free forever. Hosted version (multi-region, historical tracking, alerts) coming Q1 2026. GitHub: https://ift.tt/jmRGvLh Feedback: https://forms.gle/BJBiyBFvRJHskyR57 Built with Python + dnspython. Open to questions and feedback! https://ift.tt/jmRGvLh November 19, 2025 at 11:22PM

Show HN: RowboatX – open-source Claude Code for everyday automations https://ift.tt/LGaSOiM

Taken with Transportation Podcast: Holiday Traditions Wrapped in Gratitude

Taken with Transportation Podcast: Holiday Traditions Wrapped in Gratitude
By Melissa Culross

The holiday season is here, and so are the Merry Days of Muni. The Merry Days of Muni are underway, and we’re celebrating on the Taken with Transportation podcast! In our new episode, “Holiday Traditions Wrapped in Gratitude,” agency staff discuss some of their favorite things to do around the holidays. And they talk about what they’re grateful for. The season in San Francisco and on Muni From volunteering to shopping to meals with family, our staffers embrace the joy and spirit of the season. “San Francisco [at] the holidays means … people getting together, sharing love,” says Operator Gary...

Published November 18, 2025 at 05:30AM
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Show HN: Guts – convert Golang types to TypeScript https://ift.tt/8uGrZhP

Show HN: Guts – convert Golang types to TypeScript https://ift.tt/0uv8IhF November 18, 2025 at 11:25PM

Show HN: ToolHop – Fast, simple utilities for every workflow https://ift.tt/ArdSZbl

Show HN: ToolHop – Fast, simple utilities for every workflow ToolHop is your all-in-one browser toolbox with 200+ fast-loading calculators, converters, generators, color labs, and dev helpers. Use global search or curated categories to jump straight into the right utility, run it client-side for instant feedback, and deep-link results to your team. Whether you’re formatting copy, validating data, checking DNS, or exploring palettes, ToolHop keeps your core workflows a single tab away, and it’s entirely free, no account required. --- I built ToolHop because I was sick of the usual “free tool” bait-and-switch. Every time I needed to convert an image, compress a file, check some text, or run a quick calculation, I’d end up hitting some arbitrary limit like “10 uses per week” or a forced signup wall. It’s ridiculous how something as basic as converting a JPG to a PNG can turn into a subscription pitch. So ToolHop started as a personal frustration project: I wanted a single place with a ton of genuinely useful tools that didn’t nag, lock you out, or throttle you. Over time that grew into 200+ handcrafted tools, all fast, simple, and actually free. No trickery, no timers, no limits. As I built it, the process became about consistency and quality. I wanted the tools to feel seamless, not slapped together. That meant focusing on speed, clean UI, accurate results, and making sure each tool works instantly without friction. The goal was always the same: a site that respects people’s time. Something you can rely on whenever you just need a tool to work. If ToolHop saves someone even a few minutes of hassle, then the project did its job. https://toolhop.app November 17, 2025 at 09:28PM

Show HN: My Side project a free email template builder for CRM, or any website https://ift.tt/POQemq9

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/c948JlF November 17, 2025 at 03:56AM

Show HN: ResendForward – OS server and UI for use with Resend.com inbound https://ift.tt/acos6jf

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/VePzGst live - https://ift.tt/EG73AWt Built with react + pocketbase, extremely simple to self host. https://ift.tt/VePzGst November 17, 2025 at 12:57AM

Show HN: Open-source Agent in Rust that can't delete your database https://ift.tt/1JitzGU

Show HN: Open-source Agent in Rust that can't delete your database run "stakpak --profile readonly", then ask it to list, then nuke some AWS resource https://stakpak.gitbook.io/docs/how-it-works/warden-guardrai... https://ift.tt/9vokihd November 17, 2025 at 02:07AM

Show HN: ZenPaint, a pixel-perfect MacPaint recreation for the browser https://ift.tt/JnSV4qo

Show HN: ZenPaint, a pixel-perfect MacPaint recreation for the browser I've been recreating the original MacPaint in the browser on and off for a few years. It's still alpha quality, but I'm finally ready to share it more widely. The goal was pixel-perfect accuracy, so I spent a lot of time with Atkinson's original QuickDraw source code, emulators, and my iBook G3 to get details like font rendering and the shape tools exactly right. Some technical notes: - Font rendering was surprisingly tricky; understanding the original pipeline's quirks took lots of experimentation, and avoiding canvas smoothing/aliasing required careful handling. - Written declaratively with React; performance is kept reasonable with a buffer pool and copy-on-write semantics. - You can share links to artwork from within the UI. E.g.: https://ift.tt/4AEbzSI - Mobile support was not considered here (for obvious reasons). It might still be usable on a larger phone or tablet but I have not tested this at all. There's something magical about making art within MacPaint's constraints: the 1-bit graphics, the limited resolution, the peculiar set of tools that still feel surprisingly expressive. Still some rough edges and missing features, but I'd love feedback from anyone who remembers the original. https://zenpaint.org/ November 16, 2025 at 01:21AM

Show HN: An Apache Beam batch processing clone in Rust https://ift.tt/RxjaFiu

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/9pXcwsx November 16, 2025 at 12:16AM

Show HN: DeepClause – A Neurosymbolic AI System Built on WASM and Prolog https://ift.tt/iMAoUfh

Show HN: DeepClause – A Neurosymbolic AI System Built on WASM and Prolog Hi HN, Today I'd like to present the results of my weekend project of the last year or so. Given there are many posts on HN about LLMs and Prolog, I thought that this would be of interest. DeepClause is my own (possibly misguided :-) attempt at combining LLMs with Logic Programming, ultimately hoping to establish a foundation for building more reliable agents, that produce reproducible and fully traceable result. At the heart of DeepClause is a DSL called "DeepClause Meta Language" (DML) which can be used to encode agent behaviors as executable logic programs. DML is executed by a meta-interpreter implemented in Prolog and thus natively supports things like constraint logic programming, knowledge graphs, symbolic reasoning, ... The DML interpreter itself runs inside the SWI Prolog WASM module, thus allowing for a secure and sandboxed execution environment for AI agents. The project is still rough around a lot of edges, but I'd love to get some feedback and comments. https://ift.tt/BKYc7GQ November 15, 2025 at 07:23PM

Show HN: ByteSync – Open-source hybrid file sync (LAN and remote, E2EE) https://ift.tt/HthTFvy

Show HN: ByteSync – Open-source hybrid file sync (LAN and remote, E2EE) Hi everyone, I've been developing ByteSync, an open-source file synchronization, backup and deduplication tool designed to bridge the gap between local and remote sync. In spirit, it's somewhat closer to FreeFileSync, but with an integrated networking layer and end-to-end encryption — which means you can synchronize files between computers on the same LAN or across the internet without VPNs or firewall setup. Everything works transparently through the same interface. The synchronization model is based on DataNodes (which represent repositories, such as servers or NAS devices) and DataSources (the folders or files inside them). A session can include multiple participants, each with one or several DataNodes, and ByteSync handles all comparisons and transfers automatically. To optimize performance, the engine uses a two-stage inventory process: an initial indexation followed by comparisons limited to items that actually changed. This keeps synchronization fast even with large datasets. There's also a flat mode, useful when structure doesn't matter and you just want to compare or align files by name. Currently, ByteSync is focused on interactive synchronization — it's not yet automated or daemon-based (CLI integration is planned). But it's already fully functional for discovering and managing differences between repositories, both local and remote. ByteSync runs on Windows, macOS, and Linux, and the entire codebase is available on GitHub: https://ift.tt/BfnaEUw You can also download binaries and read the documentation here: https://ift.tt/6Q9jTzh I'd really appreciate feedback and contributors — whether on usability, architecture, or ideas for future features. The goal is to make a solid, privacy-respectful alternative for hybrid file synchronization that remains simple to use and open for everyone. November 14, 2025 at 07:32PM

Show HN: US Publicly Traded Companies probabilities of default with public data https://ift.tt/aolQMih

Show HN: US Publicly Traded Companies probabilities of default with public data https://ift.tt/v01Kg9m November 14, 2025 at 03:51AM

Show HN: YAML Validator –A simple Docker-based YAML checker https://ift.tt/27y0Uqm

Show HN: DBOS Java – Postgres-Backed Durable Workflows https://ift.tt/pfINcHu

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/TwuEYZq 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/g459GAI 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/TwuEYZq November 14, 2025 at 02:03AM

Show HN: LLM fine-tuning without infra or ML expertise (early access) https://ift.tt/46f0cCq

Show HN: LLM fine-tuning without infra or ML expertise (early access) https://www.tinytune.xyz/ November 14, 2025 at 12:33AM

We Want to Hear Your Transportation Priorities: New Survey and Budget Planning Update

We Want to Hear Your Transportation Priorities: New Survey and Budget Planning Update
By Caroline Cabral

Our budget planning process is underway, and Muni is approaching the largest budget crisis transit has ever faced. We’re not alone – transit systems across the country are grappling with impending fiscal cliffs. As we work to make our services and spending more efficient, and identify funding to bridge Muni’s budget gap, we want to hear from local communities about their transportation priorities. This will help us understand which services are most essential to maintain. Some of the transportation needs the SFMTA supports include: Fast, frequent and reliable Muni service Repairs and...

Published November 12, 2025 at 05:30AM
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Show HN: JavaScript Engines Zoo https://ift.tt/v4DnVBu

Show HN: JavaScript Engines Zoo https://ift.tt/RYd4Vr2 November 12, 2025 at 09:32PM

Show HN: Cancer diagnosis makes for an interesting RL environment for LLMs https://ift.tt/legimbw

Show HN: Cancer diagnosis makes for an interesting RL environment for LLMs Hey HN, this is David from Aluna (YC S24). We work with diagnostic labs to build datasets and evals for oncology tasks. I wanted to share a simple RL environment I built that gave frontier LLMs a set of tools that lets it zoom and pan across a digitized pathology slide to find the relevant regions to make a diagnosis. Here are some videos of the LLM performing diagnosis on a few slides: ( https://www.youtube.com/watch?v=k7ixTWswT5c ): traces of an LLM choosing different regions to view before making a diagnosis on a case of small-cell carcinoma of the lung ( https://youtube.com/watch?v=0cMbqLnKkGU ): traces of an LLM choosing different regions to view before making a diagnosis on a case of benign fibroadenoma of the breast Why I built this: Pathology slides are the backbone of modern cancer diagnosis. Tissue from a biopsy is sliced, stained, and mounted on glass for a pathologist to examine abnormalities. Today, many of these slides are digitized into whole-slide images (WSIs)in TIF or SVS format and are several gigabytes in size. While there exists several pathology-focused AI models, I was curious to test whether frontier LLMs can perform well on pathology-based tasks. The main challenge is that WSIs are too large to fit into an LLM’s context window. The standard workaround, splitting them into thousands of smaller tiles, is inefficient for large frontier LLMs. Inspired by how pathologists zoom and pan under a microscope, I built a set of tools that let LLMs control magnification and coordinates, viewing small regions at a time and deciding where to look next. This ended up resulting in some interesting behaviors, and actually seemed to yield pretty good results with prompt engineering: - GPT 5: explored up to ~30 regions before deciding (concurred with an expert pathologist on 4 out of 6 cancer subtyping tasks and 3 out of 5 IHC scoring tasks) - Claude 4.5: Typically used 10–15 views but similar accuracy as GPT-5 (concurred with the pathologist on 3 out of 6 cancer subtyping tasks and 4 out of 5 IHC scoring tasks) - Smaller models (GPT 4o, Claude 3.5 Haiku): examined ~8 frames and were less accurate overall (1 out of 6 cancer subtytping tasks and 1 out of 5 IHC scoring tasks) Obviously, this was a small sample set, so we are working on creating a larger benchmark suite with more cases and types of tasks, but I thought this was cool that it even worked so I wanted to share with HN! November 12, 2025 at 10:31PM

Show HN: Vexor – A semantic grep that finds files by meaning, not by text https://ift.tt/wZu8Dag

Show HN: Vexor – A semantic grep that finds files by meaning, not by text Vexor is a small CLI that lets you search files by meaning – like grep, but semantic. https://ift.tt/sUXDJ3q November 11, 2025 at 11:03PM

Show HN: Tracking AI Code with Git AI https://ift.tt/4wE9m2c

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/knIqNts November 10, 2025 at 10:56PM

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch https://ift.tt/jPCtJUI

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch https://ift.tt/mjGTCQa November 10, 2025 at 08:43PM

Show HN: Trilogy Studio, open-source browser-based SQL editor and visualizer https://ift.tt/32WVvxZ

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/5eBqOQ4 (language info) Git links: [Frontend] https://ift.tt/1XMPJRB [Language] https://ift.tt/79Hci5y Previously: https://ift.tt/0bf29XS (significant UX/feature reworks since) https://ift.tt/LtA4uBZ https://ift.tt/3if9weF November 10, 2025 at 04:56AM

Show HN: Alignmenter – Measure brand voice and consistency across model versions https://ift.tt/HDAsFNR

Show HN: Alignmenter – Measure brand voice and consistency across model versions I built a framework for measuring persona alignment in conversational AI systems. *Problem:* When you ship an AI copilot, you need it to maintain a consistent brand voice across model versions. But "sounds right" is subjective. How do you make it measurable? *Approach:* Alignmenter scores three dimensions: 1. *Authenticity*: Style similarity (embeddings) + trait patterns (logistic regression) + lexicon compliance + optional LLM Judge 2. *Safety*: Keyword rules + offline classifier (distilroberta) + optional LLM judge 3. *Stability*: Cosine variance across response distributions The interesting part is calibration: you can train persona-specific models on labeled data. Grid search over component weights, estimate normalization bounds, and optimize for ROC-AUC. *Validation:* We published a full case study using Wendy's Twitter voice: - Dataset: 235 turns, 64 on-brand / 72 off-brand (balanced) - Baseline (uncalibrated): 0.733 ROC-AUC - Calibrated: 1.0 ROC-AUC - 1.0 f1 - Learned: Style > traits > lexicon (0.5/0.4/0.1 weights) Full methodology: https://ift.tt/ewYQsnC There's a full walkthrough so you can reproduce the results yourself. *Practical use:* pip install alignmenter[safety] alignmenter run --model openai:gpt-4o --dataset my_data.jsonl It's Apache 2.0, works offline, and designed for CI/CD integration. GitHub: https://ift.tt/3iSEyqa Interested in feedback on the calibration methodology and whether this problem resonates with others. https://ift.tt/jsBq1yw November 10, 2025 at 05:23AM

Show HN: I'm a pastor/dev and built a 200M token generative Bible ($0.67/report) https://ift.tt/KdfvoBx

Show HN: I'm a pastor/dev and built a 200M token generative Bible ($0.67/report) https://ift.tt/UT3veDA November 10, 2025 at 01:41AM

Show HN: Livestream of a coding agent controlled by public chat https://ift.tt/2bmSXNM

Show HN: Livestream of a coding agent controlled by public chat https://ift.tt/bdUP9eQ November 8, 2025 at 10:40PM

Show HN: I built a website to visualize company financial data https://ift.tt/NqR9igo

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 03:00AM

Show HN: Easily reduce GitHub Actions costs with Ubuntu-slim migration https://ift.tt/7syQ08d

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/f6PJeuO... ) 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/REoia1L November 8, 2025 at 10:19PM

Show HN: Three Emojis, a daily word puzzle for language learners https://ift.tt/cPnuxgI

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/uY4tlVD November 8, 2025 at 01:06AM

Show HN: A Lightweight Kafka Alternative https://ift.tt/XR3YpeQ

Show HN: A Lightweight Kafka Alternative https://ift.tt/QTUJGXW November 7, 2025 at 07:28PM

Show HN: I scraped 3B Goodreads reviews to train a better recommendation model https://ift.tt/hiJ7SKz

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/Hp3JtuE - 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/IqGHoad ) Technical info available here: https://ift.tt/XijL93T 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 11:20PM

Show HN: TabPFN-2.5 – SOTA foundation model for tabular data https://ift.tt/CWPirDX

Show HN: TabPFN-2.5 – SOTA foundation model for tabular data I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks. What’s new in 2.5 : TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for the test data. It natively supports missing values, cateogrical features, text and numerical features is robust to outliers and uninformative features. The major improvements: - 5x scale increase: Now handles 50,000 samples × 2,000 features (up from 10,000 × 500 in v2) - SOTA performance: TabPFN-2.5 outperforms tuned tree-based methods and matches the performance of a complex ensemble (AutoGluon 1.4), that itself includes TabPFN v2, tuned for 4 hours. Tuning the model improves performance, outperforming AutoGluon 1.4 for regression tasks. - Rebuilt API: New REST interface along with Python SDK with dedicated fit & predict endpoints, making deployment and integration more developer-friendly - A distillation engine that converts TabPFN-2.5 into a compact MLP or tree ensemble while preserving accuracy and offer low latency inference. There are still some limitations. The model is designed for datasets up to 50K samples. It can handle larger datasets but that hasn’t been our focus with TabPFN-2.5. The distillation engine is not yet available through the API but only through licenses (though we do show the performance in the model report). We’re actively working on removing these limitations and intend to release newer models focused on context reasoning, causal inference, graph networks, larger data and time-series. TabPFN-2.5 is available via API and a package on Hugging Face. Would love for you to try it and give us your feedback! Model report: https://ift.tt/YPvk14E... Package: https://ift.tt/yUEo5dF Client: https://ift.tt/vXxmtyr Docs: https://ift.tt/P5ebKSk https://ift.tt/G3RJaYZ November 6, 2025 at 11:56PM

Show HN: JermCAD – A YAML-powered, vibe-coded, browser-based CAD software https://ift.tt/5hWTu8z

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/9c8U30k November 5, 2025 at 08:31PM

Wrapped and Ready for Your Holiday Fun: The Merry Days of Muni

Wrapped and Ready for Your Holiday Fun: The Merry Days of Muni
By Glennis Markison

Mittens and presents and San Francisco landmarks all wrapped around your 49 Van Ness / Mission? That’s right – the Merry Days of Muni have just begun! This festive bus wrap marks the start of a full campaign of merry moments for Muni riders. It’s our way of bringing local communities a little extra joy this holiday season. Through the end of the year, we’re finding fun ways to connect riders as they take Muni to their favorite people, places and traditions across the city. Meet the SFMTA designer behind our first holiday wrap – and see where the festive ride can take you. Muni's first holiday...

Published November 05, 2025 at 05:30AM
https://ift.tt/fSPlBFz

Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes https://ift.tt/H4txQBC

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/mKvQlWo November 5, 2025 at 04:17AM

Show HN: Barcable – We Built Agents That Automatically Load Test Your Back End https://ift.tt/suyI3FV

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/aJ0N3zW 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/ZkircDx https://ift.tt/36IOlEc November 5, 2025 at 04:55AM

Show HN: Agor → Figma for AI Coding (Open Source) https://ift.tt/I9AbxRW

Show HN: Agor → Figma for AI Coding (Open Source) https://agor.live November 4, 2025 at 07:29PM

Show HN: I built a Raspberry Pi webcam to train my dog (using Claude) https://ift.tt/14pnsOW

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/IPFErgQ November 3, 2025 at 05:34AM

Show HN: Give your coding agents the ability to message each other https://ift.tt/8X4dfOg

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/gnBr30D November 3, 2025 at 03:09AM

Show HN: Carrie, for what Calendly can't do https://ift.tt/jz98xi4

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 08:10PM

Show HN: I built a smart blocker after destroying my dopamine baseline https://ift.tt/ceHO8by

Show HN: I built a smart blocker after destroying my dopamine baseline I'm a solo dev. A few years ago, I got addicted to Reddit. Spent months in that loop. Being a programmer, I thought I'd be clever. Redirected Reddit's domain to nowhere in my DNS file. Worked great until I'd just... open the file and undo it 20 minutes later. So I made it irreversible. Locked the DNS file so it can't be edited unless I boot my Mac in safe mode. And if I do that, there's a script that instantly locks it again. Haven't used Reddit since last year. Problem solved, right? Wrong. I just replaced Reddit with Twitch and YouTube. Started keeping streams running in the background while I coded. This went on for almost a year. It killed my ability to focus. If you know about dopamine, you know your brain releases it when it wants you to repeat an activity. The constant background streams destroyed my dopamine baseline. When I tried to code without anything running one day, it felt genuinely weird. Hard problems that used to be interesting just felt like grinding. I tried blocking Twitch and YouTube the same way I blocked Reddit. But I actually need YouTube for learning. I watch programmers on Twitch I learn from. I couldn't just nuke them entirely. So I built something smarter. The first version was terrible. Blocked things it shouldn't, let through things it should've blocked. Really buggy and annoying. Then I added AI. I tell it what I'm working on, and it blocks anything unrelated to that task. This was the breakthrough. I need YouTube for tutorials, but I don't need 3-hour video essay rabbit holes. The extension knows the difference now. It reminds me in the moment. Not after I've already wasted an hour. Right when I'm about to click into the distraction, it stops me and makes me think: "Is this what I'm supposed to be doing right now?" The result: I actually enjoy hard problems again. Turns out I wasn't burned out, I'd just wrecked my brain's reward system. Then I had to market this thing, so I started using Twitter. And oh boy, Twitter is addicting. You post something and wait for the notification to light up. I had to install my own extension on my Twitter Chrome profile. It's wild how effective it is when something reminds you "you're here to market, not scroll" right as you're about to fall into the feed. It's still hard sometimes. Your brain will try to disable it. But having something that catches you in the moment before you lose an hour makes all the difference. It's a Chrome extension, currently at beta v1.0.43: https://ift.tt/sZYW90z... It's free, no signup, no payment. Just install it. Fair warning: it's still in beta. There will be bugs. But it works well enough that I use it daily, and it's helped me get my focus back. Built this to fix my own problem. Figured other devs might be in the same boat. Question for HN: Anyone else dealt with this? The programming with streams thing destroyed my focus for almost a year before I realized what was happening. What worked for you? https://ift.tt/TcfNXke November 2, 2025 at 11:17PM

Show HN: Micro-RLE ≤264-byte compression for UART/MCU logs, zero RAM growth https://ift.tt/Pg74n2l

Show HN: Micro-RLE ≤264-byte compression for UART/MCU logs, zero RAM growth I needed to stuff twice the telemetry through the same 115 kbaud line on a Cortex-M0+ that only had 8 kB flash left. Micro-RLE is the smallest drop-in I could come up with: 264 B of Thumb code, 36 B of state, no malloc, worst-case 14 cycles/byte and still lossless for every 8-bit pattern. On the usual sensor streams (ADC, IMU, GPS) it’s 33-70 % smaller than raw output and boots in < 600 µs, so you can fire-and-forget from main() before the PLL even locks. Repo is a single .c file and a 3-function API—replace the weak emit() hook with your UART / DMA / ring-buffer and you’re done. Size proof: arm-none-eabi-size micro_rle.o text data bss 264 0 36 MIT licensed, link in the repo. Happy to hear where else this fits! https://github.com/CoreLathe/Micro-RLE November 2, 2025 at 12:34AM

Show HN: Just vibe coded a HN TV dashboard https://ift.tt/HS9xVuN

Show HN: Just vibe coded a HN TV dashboard https://ift.tt/ORjXTsC November 2, 2025 at 12:11AM

Show HN: Why write code if the LLM can just do the thing? (web app experiment) https://ift.tt/MlCP0FG

Show HN: Why write code if the LLM can just do the thing? (web app experiment) I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI consistency between requests. The capability exists; performance is the problem. When inference gets 10x faster, maybe the question shifts from "how do we generate better code?" to "why generate code at all?" https://ift.tt/2vwcg1s November 1, 2025 at 11:15PM

Show HN: First5Minutes, Your first 5 minutes decide your day https://ift.tt/6x5A9Ln

Show HN: First5Minutes, Your first 5 minutes decide your day Hi everyone I have been experimenting with a simple idea. What if the first five minutes of your day decided the rest? I built First5Minutes, a small web app that helps you start strong. You choose one meaningful mission for the day and complete it with quick photo, video or text proof. I created it to fix my own habit of overplanning and not starting. The focus is on doing one real thing each day, not maintaining long to do lists. Key features: • One mission per day for focus • Quick proof capture with photo, video or text • Optional partner verification for accountability • Streaks based on proof, not checkmarks Try it here → https://ift.tt/yauEJWg No install or sign up wall. Just start a mission. I would love your feedback on: • Is this level of simplicity helpful or limiting • What part made or failed to make you feel you actually did something • Any friction in completing your first mission Built with Next.js, Supabase and Clerk. Thanks for checking it out. I appreciate your time and thoughts. https://ift.tt/3jOeN4C November 1, 2025 at 01:42AM

Show HN: Paykit – one SDK for Stripe, PayPal, Paddle (stop reading 5 API docs) https://ift.tt/f3Vmhyq

Show HN: Paykit – one SDK for Stripe, PayPal, Paddle (stop reading 5 API docs) https://ift.tt/pHBuMkW November 1, 2025 at 01:45AM

Show HN: A chess middlegame trainer so I can stop blundering https://ift.tt/LnxX5Z1

Show HN: A chess middlegame trainer so I can stop blundering https://dontblunder.com November 1, 2025 at 01:00AM

Show HN: Build your own Bracket City puzzle https://ift.tt/hkEOSI2

Show HN: Build your own Bracket City puzzle Hi HN — Bracket City is the word puzzle game I made earlier this year and (in part thanks to this community, see https://ift.tt/6iJOV7Y ) managed to license to the Atlantic in April. The game has been growing a lot and I wanted to share the latest: a tool that lets anyone make a Bracket City puzzle — specifically a “Bracket Suburb”! I made this tool to help me construct puzzles, and I’ve been using it every day for months. After the Atlantic launch, I started to get the occasional inquiry about whether there was a way to make your own puzzle. One guy wanted to make a Bracket City puzzle part of a puzzle hunt he made to propose to his girlfriend (he did it!), and that convinced me it would be fun to make something publicly available. I got the Atlantic on board with the idea, and we are launching it today with an "example" custom puzzle: a Halloween/horror-themed puzzle by my pal Wyna Liu of NYT Connections fame. https://ift.tt/wxBeOPr And we've got few other fun "celeb" puzzles lined up for later this year. The thought is that folks can use the builder to make custom puzzles for birthday wishes/event invites/insults/proposals/break ups in addition to “normal” Bracket City puzzles. I'm also hoping to learn more about the potential of the format – crossword puzzles have benefited so much from the creativity of constructors – I'm hoping bracket puzzles do the same. The good news is that it’s way easier to construct a bracket puzzle than a crossword. Once you try it, you’ll see why: you have many more degrees of freedom. In a crossword, each added word increases the level of constraint exponentially — every new entry sharply reduces the remaining options for completing the grid. Bracket puzzles are the opposite: as you add clues, you expand the available fodder for new ones. Anyway, I would love any/all feedback and to try puzzles created by folks here. I’m hoping we will figure out a way to highlight the best community puzzles on the Atlantic soon! PS and please keep playing the main game / sending me feedback / denouncing me on the subreddit https://ift.tt/JqhIvrT October 31, 2025 at 08:25PM