Show HN: Phishcan, Canada's first open and free threat intelligence platform https://ift.tt/19bKwvs

Show HN: Phishcan, Canada's first open and free threat intelligence platform Phishcan provides crucial threat intelligence, and it currently tracks phishing domains for: • Scotiabank, Desjardins, RBC, Interac… • Telecom providers, provincial power and health services... • Federal & provincial services, CRA, Canada Post, Service Canada, Revenue Québec... How Phishcan works: • Parsing millions of domains: Continuously scanning and analyzing vast numbers of domains to detect suspicious patterns and potential phishing sites. • Monitoring threat actors : close watch on cyber‑criminal infrastructures and their new domain registrations. • Data enrichment : adding contextual insights and connections to improve the information • Feeds are updated every 12 hours. • You can use the API freely at: https://ift.tt/fwalMWJ Data is also available on: https://ift.tt/Xt6cvZ9 I plan to improve the whole platform with more data during my free time! https://phishcan.com/ September 25, 2025 at 04:58PM

Show HN: Plakar 1.0.4 – Open-Source Backup That's Fast, Encrypted, and Browsable https://ift.tt/sPNyLWq

Show HN: Plakar 1.0.4 – Open-Source Backup That's Fast, Encrypted, and Browsable It’s still young, but they are shipping fast, and it's open source. Anyone else playing with it? https://ift.tt/svHaFQb September 25, 2025 at 11:07AM

Show HN: Inferencer – Run and deeply control local AI models (macOS release) https://ift.tt/z3ukivo

Show HN: Inferencer – Run and deeply control local AI models (macOS release) Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms. Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ Would love to hear any feedback or feature requests from the community. https://inferencer.com/ September 24, 2025 at 11:26AM

Show HN:[Feedback Request] Chrome extension for structured learning with ChatGPT https://ift.tt/10KJ2dm

Show HN:[Feedback Request] Chrome extension for structured learning with ChatGPT hey everyone, This is a demo of a chrome extension(it's currently under review) which allows anyone to create structured step-by-step learning plan for any goal and time commitment. Once a learning plan has been created, you can follow the step by step instruction, by clicking on the task within the extension, which will automatically inject a prompt in chatgpt to generate learning materials. The tool provides: 1. Structured learning plan creation. 2. Progress tracking 3. Creates and injects prompt in ChatGPT for generating learning materials for each step. I would like feedback on whether this sort of an extension would be useful for your day to day learning. I launched a web app for this a couple of weeks back: https://ift.tt/PCXJK6u The extension has been submitted to Google for review, but if anyone is interested to try, here is the extension source code: https://ift.tt/2hEUltm https://www.youtube.com/watch?v=YvL65pdc16U September 24, 2025 at 06:09AM

Show HN: BX Live Server – VS Code live reload with embedded preview https://ift.tt/HcyKF5X

Show HN: BX Live Server – VS Code live reload with embedded preview Hello HN, a quick share from my weekend project. TBX Live Server is an extension that bakes a browser-like webview right into VS Code, keeps multiple servers in sync, and reloads on the fly. Developers can run parallel environments, toggle ports per workspace, and stay in the editor while testing. In the last 24 hours it picked up 19 new downloads and 2 stars, so early adopters seem to be finding it useful. Repo: https://ift.tt/Kv5F4WE Marketplace install: https://marketplace.visualstudio.com/items?itemName=Thinkbac... Happy to answer questions or hear what workflows you’d like to see supported next. https://marketplace.visualstudio.com/items?itemName=Thinkback.tbx-live-server September 24, 2025 at 04:48AM

Show HN: Inflow – invoke an LLM with your viewport just by typing https://ift.tt/61ZO2pS

Show HN: Inflow – invoke an LLM with your viewport just by typing Hey HN, I built this simple tool for fun over the weekend after getting tired of breaking my flow to copy and paste what I was reading in a Claude tab. My goal was to make the process as frictionless as possible so you don't expend cognitive load thinking about the tool. To that end, there are no hotkeys or buttons to initiate the chat widget, the extension just detects natural language as you type and populates the widget after a threshold. The LLM gets the text content in your current viewport as context. https://ift.tt/Wf8Yi6a September 24, 2025 at 01:05AM

Show HN: Handcrafted Kitchen SVG Icons https://ift.tt/0MqEJfp

Show HN: Handcrafted Kitchen SVG Icons https://kitchensvg.com/ September 23, 2025 at 12:03PM

Show HN: Technical Interview for an Open Source Team (Grove Engineering) https://ift.tt/xflo2dE

Show HN: Technical Interview for an Open Source Team (Grove Engineering) The interview is spinning up our local development environment. Feels like the perfect bidirectional way to really check if someone is a technical fit. https://ift.tt/i5Ljry0 September 22, 2025 at 11:30PM

Show HN: Zenode – an AI-powered electronic component search engine https://ift.tt/atTBGH8

Show HN: Zenode – an AI-powered electronic component search engine TL;DR - My cofounder Collin and I built an AI version of Digi-Key to help PCB designers find and use parts, except with a way bigger catalog, modern refinement tools, and an AI that can actually read the damn datasheets for you. *The problem* Modern circuit board design is filled with absurdly tedious tasks, where one small mistake can brick a project and cost thousands. The worst (in our opinion) is reading datasheets, which eats up to 25% of the first part of any project: 1. First, you slog through catalogs to find viable parts, using search tools that are still stuck in the dark ages. There are ~80M unique components in today’s supply chain, yet the tools we have to look through them are just digitized versions of the same paper catalogs our grandparents got in the mail. 2. During the design, you spend a ton of time flipping between different 10-100-page PDFs for every component in every subcircuit, hoping like hell you don’t miss some tiny spec in a footnote somewhere that kills your design. 3. And god help you when the requirements inevitably change and now you have to figure out what subsystems are affected! *What we built* Zenode is an AI-powered electronics search engine that actually helps engineers find and understand components. Our core features: 1. Largest and Deepest Part Catalog → We have merged dozens of existing part catalogs and documents from major distributors and manufacturers 2. Discovery Search → natural language queries to quickly find categories, set filters, and rank results 3. Modern Parametric Filters → rebuilt from scratch to move off the string values pervasive in industry and build numeric ranges that actually work. 4. Interactive Documents → AI constrained to a single part’s datasheet/manuals. Ask a question, get the answer with a highlighted source for quick reference. 5. Deep Dive → search across dozens of parts simultaneously (“what’s the lowest-power accelerometer available?”) instead of slogging one by one. *What we learned* 1. By far the hardest part of the last 2 years has been wrangling 3 TB of messy, inconsistent data into something usable. We had to teach the AI how to handle hand-drawn figures, normalize different unit variables and names that mean the same thing, and navigate conflicting information present between different datasheet versions of the same part. It’s been a nightmare 2. We originally built custom PDF parsers and AI extractors, which were best in class for ~3 months until generalized AI passed them. So we stopped reinventing wheels and doubled down on data quality instead. 3. The killer feature wasn’t the AI searching a single part, but what we heard repeatedly from users is that they want the AI to read across multiple parts, hence why we’ve launched deep dive! *Where it’s strong* - Speed: rips through a 1,000-page microcontroller datasheet in seconds. - Breadth: 40M+ part sources unified into one catalog, and more than just datasheets, application notes, errata, etc. - Comparisons: Deep Dive lets you ask across multiple parts, not just one at a time. *Where it’s not* - Pricing/availability: currently outdated (for now we expect folks to check existing aggregators like Octopart). - Accuracy: good enough to match my mediocre skills; not yet at Collin's level, but we're starting tuning and this will improve rapidly! *Try it* It’s live today (zenode.ai). Sign up for a free account and If you put “Hacker News” in during signup in the “where did you hear about us” field, we’ll give you 1,000 bonus credits (once we finish building that, so sometime this week ). *Feedback we’d love* 1. Should Deep Dive results auto-become filters you can refine further? 2. Do you want the ability to mark preferred parts / exclude others? 3. Is “Deep Dive on a BOM” (alt discovery + manufacturability checks on a list of known components from different categories) the killer feature? https://zenode.ai/ September 22, 2025 at 08:27PM

Show HN: Python Audio Transcription: Convert Speech to Text Locally https://ift.tt/CPAfVqj

Show HN: Python Audio Transcription: Convert Speech to Text Locally https://ift.tt/V9WYCyj September 22, 2025 at 11:48PM

Show HN: I wrote an OS in 1000 lines of Zig https://ift.tt/3G40MXq

Show HN: I wrote an OS in 1000 lines of Zig https://ift.tt/nieBLq8 September 18, 2025 at 08:35PM

Show HN: I made Android boot on Apple Silicon https://ift.tt/ZBoqdWk

Show HN: I made Android boot on Apple Silicon https://twitter.com/mishushakov/status/1969797255353053264 September 21, 2025 at 11:18PM

Show HN: The Atlas – I Built a 3D Universe Simulation with Python and Three.js https://ift.tt/GZ26MIQ

Show HN: The Atlas – I Built a 3D Universe Simulation with Python and Three.js Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for weeks, restart, and planets have still been orbiting. Open the same world on multiple devices and you’ll see identical cloud formations, lava flows, even particle effects—always perfectly synchronized (if your clocks are synced). The simulation applies real physics, Kepler’s laws, tidal locking, Roche limits, hydrostatic relaxation for moons, and orbital temperature variations. Scale is mind-boggling, 300 tredecillion potential planets, far beyond anything that could ever be explored. The backend runs on Python/Flask with Hypercorn, the frontend on React + Three.js, connected via a custom MIT-licensed “vite-fusion” plugin we made. Everything is generated in real time, no storage needed. The Atlas includes 26+ planet types, fictional elements, moons evolving over geological timescales, and rare life forms that display Arecibo-style messages when analyzed. There’s resource mining and spaceship progression as gamification features. At its core, it’s a playable implementation of Einstein’s block universe theory, all moments exist simultaneously in the mathematical structure, you’re just moving through different temporal slices. You can try the live demo or run your own universe locally. When installed, you can choose between Core Continuum (a shared seed universe evolving since 1986, my birth year) or Design the Multiverse (your own unique cosmos with a fresh seed). I’d love feedback on the procedural generation algorithms and ideas for expanding the physics simulation! - GitHub: https://ift.tt/nZu3KCL - Docker: bansheetech/atlas:latest - Demo: https://the-atlas.koyeb.app - Alt Demo: https://ift.tt/l8KOWQN Thanks for reading this far! <3 https://github.com/SurceBeats/Atlas September 21, 2025 at 09:26PM

Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots https://ift.tt/cIgkiQJ

Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots I built WAFlow to prototype WhatsApp-style chatbots locally with plain webhooks. Repo: https://ift.tt/mJ6aL1n Docker up → chat in browser → simulator posts a webhook to your bot → bot replies via API → export/import transcripts. Stack: .NET 8 + Blazor. MVP: Polling UI, single user, text-only. Would love feedback on what’s missing for your workflow. September 21, 2025 at 01:10AM

Show HN: Little Fluffy Clouds: Combine a bunch of small adjacent networks https://ift.tt/TMjfe58

Show HN: Little Fluffy Clouds: Combine a bunch of small adjacent networks https://ift.tt/JrEvnls September 20, 2025 at 08:00PM

Show HN: I built a free AI prompts and rules directory https://ift.tt/fPb82NR

Show HN: I built a free AI prompts and rules directory Got tired of saving my prompts scattered across X, Reddit, and Notion with no good way to organize or share them. That's why I built CTX, a community collection of prompts and rules. Create, share, and remix – everything's free and community-curated. Let me know what you think, any feedback is very welcome! https://ctx.directory September 20, 2025 at 12:37AM

Show HN: Devsyringe – automate injecting dynamic values into static files https://ift.tt/4poyA71

Show HN: Devsyringe – automate injecting dynamic values into static files Tired of manually copying tunnel URLs, API tokens, or other dynamic values into config files? Even small tasks like this break flow and are error-prone. I built Devsyringe, a small Go CLI that automates this process. You define rules in a simple YAML file, run a command, and it updates multiple static files automatically. It works for tunnels, API keys, documentation, CI/CD configs — anywhere dynamic values need injecting. I’d love to hear how others handle injecting dynamic values into static files in their workflows. GitHub: https://ift.tt/MzgXfwm https://alchemmist.xyz/articles/the-devsyringe/ September 20, 2025 at 12:34AM

Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput https://ift.tt/xwBUzLo

Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput https://ift.tt/IeEq6O9 September 20, 2025 at 12:06AM

Show HN: Neon Shower, a fun tool for animating light rays https://ift.tt/qLwQTY5

Show HN: Neon Shower, a fun tool for animating light rays Neon Shower is a playful tool for creating light burst animations that can be used as backgrounds / overlays in videos. Feedback is very welcome! https://ift.tt/ecQFgIm September 19, 2025 at 12:26AM

Show HN: Continuum Game (68k Mac) Ported to JavaScript https://ift.tt/wN9dKDJ

Show HN: Continuum Game (68k Mac) Ported to JavaScript This was an interesting porting project for a few reasons (IMO): - The original game is/was awesome and, from a programming perspective, a wonder -- smooth scrolling arcade game on a 128kb Mac in 1984... - The port was done with a lot of help from AI (mostly Claude Code, but some Gemini CLI as well). I'm a programmer; it wasn't vibe-coded. But I couldn't have done the port of 68k assembly without it. FWIW, Claude seemed better at actually porting the 68k assembly but Gemini was better at finding bugs. YMMV. - I love Redux and Redux Toolkit for state management. For the port, I put the entire game state in Redux, including all the physics, movement, etc. Every thing that happens in the game is a little redux action. You can watch the whole game get played in the RTK debugger. For some reason that makes me happy. I've released all my code as MIT. Would love to make a "modern" version some day, but for now I've just tried to be faithful to the original. There are a few bugs, noted as issues in the github repo. Feel free to add more. https://continuumjs.com September 18, 2025 at 11:21PM