Show HN: ProKZee – An Open-Source Network Security Tool Written in Go https://ift.tt/dfGRDT2

Show HN: ProKZee – An Open-Source Network Security Tool Written in Go Hi HN! After several months of work, I'm excited to share ProKZee, a free and open-source network security tool built with Go and React using Wails framework. ProKZee allows developers, security researchers, and penetration testers to intercept, inspect, and modify HTTP/S traffic — similar to tools like Burp Suite, OWASP ZAP, and Caido — but with a fast native UI, modern UX, and some unique features. https://ift.tt/xvFlYiQ https://ift.tt/xvFlYiQ April 29, 2025 at 01:11AM

Show HN: Heart Rate Zones Plus – The first iOS app I ever developed https://ift.tt/VaMghNn

Show HN: Heart Rate Zones Plus – The first iOS app I ever developed https://ift.tt/MoXbnj7 April 29, 2025 at 12:12AM

Show HN: Zotero-MCP – Connect Your Research Library with Your AI Assistant https://ift.tt/dQEWqNw

Show HN: Zotero-MCP – Connect Your Research Library with Your AI Assistant Hi all! I forgot to share my project here, but since it just got over 1.2k calls on smithery, I figured that people here may be interested in giving it a try! Essentially it allows you to easily connect your zotero library to any LLMs through a MCP client, enabling the LLMs to read the papers that you collected, your notes, and the annotations - and it works both on your local and cloud library. Check this out! I would love to hear your feedback. :) https://ift.tt/U0yh8Zb April 29, 2025 at 12:06AM

Show HN: Announcing Nest2D.dev: Open-Source Server-Side Nesting for DXF https://ift.tt/qrs1uG0

Show HN: Announcing Nest2D.dev: Open-Source Server-Side Nesting for DXF https://ift.tt/KyfNPx6 April 27, 2025 at 11:39PM

Show HN: Start working in AI research by using these project ideas from ICLR2025 https://ift.tt/QJbPuOp

Show HN: Start working in AI research by using these project ideas from ICLR2025 https://ift.tt/uphFTw3 April 27, 2025 at 10:41PM

Show HN: Daily Jailbreak – Prompt Engineer's Wordle https://ift.tt/ah94RVY

Show HN: Daily Jailbreak – Prompt Engineer's Wordle I created a daily challenge for Prompt Engineers to build the shortest prompt to break a system prompt. You are provided the system prompt and a forbidden method the LLM was told not to invoke. Your task is to trick the model into calling the function. Shortest successful attempts will show up in the leaderboard. Give it a shot! You never know what could break an LLM. https://ift.tt/ShXTKwk April 28, 2025 at 12:02AM

Show HN: Gemini Document Processor – Generate Th Summaries from PDF/ePub with AI https://ift.tt/7Sg8YbN

Show HN: Gemini Document Processor – Generate Th Summaries from PDF/ePub with AI Hello HN! I'd like to share Gemini Document Processor, an open-source tool I've developed. This tool uses Google's Gemini AI (their latest API) to create high-quality Thai language summaries from PDF and EPUB files. Key features include: - Support for both PDF and EPUB files - Intelligent chunking for efficient Gemini API processing - Automatic image extraction from documents - Direct integration with Obsidian (export directly to vault) - Smart retry system when errors occur (switches models/increases timeouts) - Real-time progress tracking via web interface I built this tool because I needed to read many English documents and wanted detailed summaries in Thai. If you frequently read long documents or want to build a knowledge base from multiple sources, this tool could save you significant time. The output is a well-formatted Markdown file with images and metadata, ideal for storing in Obsidian, Notion, or other PKM systems. Try it by cloning the repo and running it with Python (requires a Google Gemini API key). Feedback, suggestions, and contributions are very welcome! https://ift.tt/usKB8UL April 26, 2025 at 06:20PM

Show HN: Install CLI Apps via Plain HTTP – No Docker, No Binaries, Just Curl https://ift.tt/gnvlhat

Show HN: Install CLI Apps via Plain HTTP – No Docker, No Binaries, Just Curl Tired of bloated installers and complex DevOps pipelines? I built PPORT — a terminal-based messenger — to demo a crazy simple idea: 1. Instant CLI delivery over HTTP 2. Just curl or irm, nothing else 3. TypeScript on the fly via Deno 4. Live deployment without Docker or builds How it works: Visit https://pport.top Run one command (curl -fsSL pport.top | sh) PPORT streams scripts and source files dynamically based on your client (curl, browser, Deno) No packaging. No compiling. No friction. Source on GitHub: https://ift.tt/hFn310x Curious what else could be built with this approach? Would love to hear your ideas. https://pport.top April 26, 2025 at 10:21PM

Show HN: Rocal UI – A simple template engine with Rust https://ift.tt/bkg3OrN

Show HN: Rocal UI – A simple template engine with Rust https://ift.tt/B2VXORZ April 26, 2025 at 11:56PM

Show HN: Lucidia, a WebGL visualizer inspired by Drempels https://ift.tt/kwPrABo

Show HN: Lucidia, a WebGL visualizer inspired by Drempels Made with ChatGPT, open source at https://ift.tt/CTDp1wU https://ift.tt/HKTXbgz April 26, 2025 at 12:28AM

Show HN: Open-Source, Self-Hostable Rate Limiting API https://ift.tt/QA29TvL

Show HN: Open-Source, Self-Hostable Rate Limiting API https://ift.tt/SGZyUBY April 25, 2025 at 11:03PM

Show HN: Claude Code with GUI and Block Based Prompt Editor (MIT) https://ift.tt/oebzdiw

Show HN: Claude Code with GUI and Block Based Prompt Editor (MIT) https://ift.tt/GpEHDxC April 25, 2025 at 10:28PM

Show HN: I Added Translation to My RSS Reader Project https://ift.tt/czZGYUm

Show HN: I Added Translation to My RSS Reader Project https://ift.tt/mYBFTQR April 25, 2025 at 01:59AM

Show HN: Interactive map of Palo Alto police record log PDFs https://ift.tt/6wauj3n

Show HN: Interactive map of Palo Alto police record log PDFs Got this idea when a landlord suggested I check the police logs when I asked about neighborhood safety during house hunt. I built this for myself to easily look up an address and see nearby police events. The data covers incidents from February to April 2025. Data Source: https://ift.tt/eobNEOZ... Source Code: https://ift.tt/ueasQOi (lot of slop as it was vibecoded) https://ift.tt/fNK8vy1 April 25, 2025 at 01:37AM

Show HN: GitNote- Online MD note editor that syncs to GitHub https://ift.tt/75PK6Jk

Show HN: GitNote- Online MD note editor that syncs to GitHub https://ift.tt/PBWxF9z April 25, 2025 at 01:25AM

Show HN: I reverse engineered top websites to build an animated UI library https://ift.tt/JA1IHzD

Show HN: I reverse engineered top websites to build an animated UI library Looking at websites such as Clerk, I began thinking that design engineers might be some kind of wizards. I wanted to understand how they do it, so I started reverse-engineering their components out of curiosity. One thing led to another, and I ended up building a small library of reusable, animated components based on what I found. The library is built in React and Framer Motion. I’d love to hear your feedback https://reverseui.com April 24, 2025 at 11:17PM

Show HN: Body Controlled 3D Dino Game https://ift.tt/WjQfRs1

Show HN: Body Controlled 3D Dino Game Hey HN, I am Niko. I've built this 3D Dino Game In browser using tech like three.js and MoveNet (tensorflow). Basically, it's a normal 3D dinosaur game with a twist: you need to actually perform actions irl to avoid obstacles. Duck to crouch, jump to jump, raise left hand - go left, raise right hand - go right. Game is using your phone/laptop camera to track your body movements and perform in-game actions. PS. Game is 100% client side and I don't record/track/use/save any of your data Hope you find it worth playing. (better play on PC) It's a 100% FREE browser game with no login! Please feel welcome to DM feedback or reply or anything! https://ift.tt/80BcH4Q April 23, 2025 at 02:58PM

Show HN: Durable Python Workflows https://ift.tt/26SIXJU

Show HN: Durable Python Workflows https://ift.tt/5wkjYis April 23, 2025 at 04:11AM

Show HN:[Opensource] AIgr.id–Polycentric Infrastructure for Open and Plural AI https://ift.tt/XJGSg1l

Show HN:[Opensource] AIgr.id–Polycentric Infrastructure for Open and Plural AI Hey HN! I'm Kanishka Nithin, founder of AIGr.id ( https://www.aigr.id ). We’re building AIGr.id — a polycentric network of independent, modular AI that can coordinate, exchange data, and compose into higher-level intelligence — all within a decentralized and plural ecosystem. Rings collective intelligence? In simpler terms: We’re trying to make it possible for people to produce, remix, operate, distribute and consume AI systems the way we use the internet— openly, collaboratively, and without needing to centralize everything into one mega-model owned by one mega-entity. Just like internet of intelligence. Today’s AI landscape is: Centralized, resource-heavy systems demand vast funding, compute, and talent—excluding much of the world. Controlled by a few powerful actors prioritizing profit over public good. Participation is limited, deepening inequality in AI benefits. Fragmented and siloed, with no open protocols for AI coordination We believe it's time to reimagine AI as collective intelligence, as shared commons — poly-centric, collaborative, composable, inclusive, and guided by values beyond profit. What’s different about our approach is that we’re not trying to build “the one true model” — we’re trying to make it easier for people to build, remix, run, and govern their own AI systems, together. We want a world where AGI doesn’t have to be monolithic — where different models, agents, and collectives can evolve side by side, coordinate, and even argue if they need to. Plural, by design. At the core of AIGr.id is OpenOS.AI, a distributed AI operating system. It is a full stack AIOS that spans everything from low-level compute orchestration to higher-level cognition, coordination, governance and economic policy. Think of it as a programmable substrate for building and running decentralized AI systems — across any infrastructure, in any topology. Developers can use shared protocols, primitives, and templates to compose AI systems — models, agents, cognitive workflows — and plug them into running grids. These grids can be public, private, federated, or even permissionless. Each grid can maintain its own sovereignty (values, rules, trust mechanisms), but still remain interoperable with others. It's designed for a world where we expect many intelligences to coexist, rather than one model to rule them all. We’re in beta and will be kicking off more extensive scale testing during our upcoming testnet phase. If this scratches an itch for you, or just want to jam on open systems — we’d love your feedback. If you're interested in joining the testnet, you can join our discord @ https://ift.tt/nfixAUg — we’d be excited to have you involved early. Docs, GitHub, and the paper are all linked at https://www.aigr.id Curious what you think — critiques, weird use cases, edge cases, counterpoints — all welcome. Our own background is what pushed us into this problem. Before this, we were a 4-person crew running one of the largest real-time AI inference workloads in India. We were doing around 500K inferences/sec across 80–90 models simultaneously, supporting 35+ public-sector use cases — mostly video analytics. We were operating across federated and private infrastructure in real time, processing millions of frames per second. We didn’t rely on cloud providers or commercial frameworks. Our market was distorted by deprioritized infrastructure investment and choosing to grow within our earnings means the only way to survive was by being ruthlessly efficient: creating frameworks that automated end to end production, operation, distribution and maintenance life cycle of AI -- everything at scale reliably without or with minimal human intervention — so four of us could actually live our lives, too. So in a way, AIGr.id was born out of necessity. It's the system we wish we had — one that treats intelligence as something modular, networked, composable, orchestratable, shareable, and governable – in a collective way. https://www.aigr.id April 22, 2025 at 11:13PM

Show HN: I made TypeScript's type inference more strict (and smarter) https://ift.tt/MbiPZXW

Show HN: I made TypeScript's type inference more strict (and smarter) As a TypeScript developer, I often found myself wishing the type system could do more—*especially when omitting or modifying deeply nested properties* inside complex objects and arrays. For instance, what if I want to remove a deeply nested field like `user.profile.email` and also something like `user.posts[ ].meta.shares` from a type? TypeScript doesn't really provide a built-in way to do that. So I built *DeepStrictTypes* — a utility that lets you *omit deeply nested keys*, even inside arrays, with full type inference and strictness. Here’s an example: ```ts type Example = { user: { id: string; profile: { name: string; age: number; email: string; }; posts: { title: string; content: string; meta: { likes: number; shares: number; }; }[]; }; }; // Remove 'user.profile.email' and 'user.posts[ ].meta.shares' type Omitted = DeepStrictOmit< Example, 'user.profile.email' | 'user.posts[*].meta.shares' >; ``` The resulting type: ```ts { user: { id: string; profile: { name: string; age: number; }; posts: { title: string; content: string; meta: { likes: number; }; }[]; }; } ``` Works great for: - Cleaning up types for API responses - Dynamically transforming deeply nested data - Improving type safety when handling structured JSON [ https://ift.tt/X2FrN68 ]( https://ift.tt/X2FrN68 ) Would love your feedback or ideas for improvements! https://ift.tt/yFqxuiR April 22, 2025 at 09:17AM