Show HN: FlowHawk – ultra fast eBPF network security monitor with ML https://bit.ly/4jFyLqc

Show HN: FlowHawk – ultra fast eBPF network security monitor with ML I built FlowHawk, a high-performance network security monitor that uses eBPF/XDP to analyze packets in real-time and detect threats like DDoS attacks, port scans, and botnet activity. It’s written in Go and C is used for the eBPF program. Includes ML anomaly detection and a real-time dashboard. Currently over 80% test coverage and I would love your feedback and contributions! https://bit.ly/43Su0DS June 9, 2025 at 07:22AM

Show HN: Astro Pinball https://bit.ly/4kZXqXH

Show HN: Astro Pinball I ported a classic windows game to iOS, this time with Game Center leaderboards and a brand new portrait mode! 100% free, no ads! https://apple.co/3Zpo4B4 June 9, 2025 at 12:15AM

Show HN: Small tool to query XML data using XPath https://bit.ly/3ZhGzr6

Show HN: Small tool to query XML data using XPath https://bit.ly/3ZhWsxF June 7, 2025 at 09:53PM

Show HN: AI that extracts brand identity from websites to generate ads https://bit.ly/43A5711

Show HN: AI that extracts brand identity from websites to generate ads I built this because I kept procrastinating on creating ads for my projects. The technical challenge was interesting: how do you teach AI to extract "brand identity" from a website? Turns out websites are messy. Finding the actual logo vs random images, identifying brand colors vs generic link colors, understanding brand voice from homepage copy. The solution: Custom vision models + CSS parsing + GPT-4 for voice analysis. You paste a URL, it extracts brand elements, generates platform-specific ads. Not trying to "disrupt advertising" or anything dramatic. Just solving the specific problem of "I need a Facebook ad but Canva makes me want to cry." Built with Next.js, custom image processing pipeline, OpenAI API. The brand extraction accuracy is around 85% for well-structured sites, lower for sites that are... creative with their CSS. Happy to discuss the technical approach or share code snippets if anyone's curious about the brand extraction pipeline. https://bit.ly/43PUztv https://bit.ly/45KiOf6 June 8, 2025 at 06:15AM

Show HN: Televyze, Your IPTV OS https://bit.ly/457RXtf

Show HN: Televyze, Your IPTV OS https://bit.ly/4kZ3joe June 6, 2025 at 10:53PM

Show HN: SQLAlchemy just the core – a better way https://bit.ly/3Tcj1jH

Show HN: SQLAlchemy just the core – a better way For people who prefer to avoid ORM magic, this library defines a factory class that helps declare tables for SQLAlchemy core in a better way, so that the benefits of linting and editing tools can be utilised and a better syntax can be used for the queries. https://bit.ly/44dex1F June 7, 2025 at 12:50AM

Show HN: Explainr – Upload a research paper and get a learning roadmap https://bit.ly/43uBCh1

Show HN: Explainr – Upload a research paper and get a learning roadmap I built Explainr ( https://bit.ly/45dt4fS ) to help people understand research papers. You upload a PDF, and it extracts key topics, their prerequisites, and gives you a learning roadmap. I’d love feedback on: Usefulness of the roadmap Accuracy of topic extraction Any UI/UX issues Note: You get 20 free credits (1 credit per document). Billing isn’t fully functional yet, and the API might throttle under load. But it works reliably for individual use. I'm at a point where I might move away from the project, but I wanted to ship it and learn what could be improved. Appreciate any feedback! https://bit.ly/45dt4fS June 5, 2025 at 11:37PM

Show HN: Clarity – A Dashboard for Scrum Teams (Early Access) https://bit.ly/3T7grLR

Show HN: Clarity – A Dashboard for Scrum Teams (Early Access) Hey HN, we just launched the first version of Clarity: https://bit.ly/3FHb3fm It’s a lightweight dashboard for Scrum Masters and Product Owners – giving you instant insights into team health, ticket quality, velocity and more. We built this after getting great feedback on a prototype during the Hack'n'Scrum alpha release. Now we're releasing it as a standalone tool – no setup, no integrations needed to get started. Jira integration optional. AI-powered insights included. Looking for feedback from agile teams, dev leads, PMs – or just curious minds. Would love to hear your thoughts on clarity, usability, and what's missing. Thanks in advance Simon & JP https://bit.ly/3FHb3fm June 5, 2025 at 06:16AM

Show HN: I made a 3D SVG Renderer that projects textures without rasterization https://bit.ly/4dYkYdd

Show HN: I made a 3D SVG Renderer that projects textures without rasterization https://bit.ly/4jygbQQ June 5, 2025 at 03:05AM

Show HN: Triage.flow – Chat with Any GitHub Repo Using Faiss and LlamaIndex https://bit.ly/43vAc5Z

Show HN: Triage.flow – Chat with Any GitHub Repo Using Faiss and LlamaIndex A few weeks ago I got rejected from a role and the feedback was that I needed a deeper understanding of FAISS and LlamaIndex. So I built triage.flow — an AI assistant that lets you explore and understand GitHub repositories through a chat interface. It clones a repo, indexes it using FAISS + BM25 + tree-sitter parsing, and powers a full UI where you can: - Ask natural-language questions like “how does auth work?” or “explain @src/components/Modal.tsx” - Mention specific files/folders with @filename.ts (autocomplete supported) - See how the agent thinks in real time (Thought → Action → Observation) - View retrieved code side-by-side with the chat It uses a hybrid RAG system, ReAct-style agent reasoning, and streaming responses — built with FastAPI, LlamaIndex, and React. GitHub: https://bit.ly/443q8RG Would love feedback or thoughts from anyone building similar tools. (Also exploring new opportunities — open to roles around LLM infra, RAG, or applied ML.) https://bit.ly/443q8RG June 4, 2025 at 11:48PM

Show HN: Workflows for getting Nvidia drivers working on Linux https://bit.ly/4dOrlQl

Show HN: Workflows for getting Nvidia drivers working on Linux https://bit.ly/43GngZH June 4, 2025 at 09:30PM

Show HN: CrowdRender – collaborative rendering plugin for Blender https://bit.ly/3FLkri1

Show HN: CrowdRender – collaborative rendering plugin for Blender CrowdRender is an alternative to render farms and render farm software (like deadline). Our software is licensed under the GPL V3, and primarily supports Blender's render pipeline, it supports Windows, MacOS and linux. The goal of the addon is to provide a simple, single install package that turns a laptop, desktop, workstation or server into a worker that can collaboratively render an animation or single image. We aim to make this as simple as possible so the plugin can be used by a single freelancer, without a deep knowledge of networking, right up to a technical director/software dev working at a large studio. https://bit.ly/4jJfEvK June 4, 2025 at 01:08AM

Show HN: LLMFeeder – Browser extension to extract clean content for LLM context https://bit.ly/43XDTRT

Show HN: LLMFeeder – Browser extension to extract clean content for LLM context I built this browser extension to solve a daily frustration: copying documentation from websites to feed into AI coding assistants like Cursor, Windsurf, or ChatGPT, only to get a mess of ads, popups, and navigation junk mixed in with the actual content. LLMFeeder uses Mozilla's Readability.js (same tech as Firefox Reader Mode) to extract just the main article content, converts it to clean markdown with Turndown.js, and copies it to your clipboard with a single keyboard shortcut (Alt+Shift+M or ⌥ ⇧ M). No clicking through popups, no selecting around ads, no fighting with modern web clutter. # Key features: • One-key extraction and markdown conversion • Works on Chrome and Firefox • Completely local processing (no data sent anywhere) • Configurable content scope and formatting options • Open source with clean, documented code The workflow is simple: hit the shortcut on any documentation page, switch back to your editor, paste clean markdown context, get better LLM responses. It's solving a real problem I have dozens of times per day, and early users seem to find it useful too. Available on both browser stores and GitHub for manual installation. # Links: • Demo: https://www.youtube.com/watch?v=JxHWqszlZDw • GitHub: https://bit.ly/4413k5a • Chrome: https://bit.ly/43rpj53... • Firefox: https://mzl.la/3SxpwgX Would love feedback from fellow developers who deal with this same workflow friction. What other pain points do you have when feeding content to LLMs? https://bit.ly/4413k5a June 3, 2025 at 10:43PM

Show HN: Gradle plugin for faster Java compiles https://bit.ly/447WBFF

Show HN: Gradle plugin for faster Java compiles Hey HN, We've written a pretty cool Gradle plugin I wanted to share. It turns out if you native-image the Java and Kotlin compilers, you can experience a serious gain, especially for "smaller" projects (under 10,000 classes). By compiling the compiler with native image, JIT warmup normally experienced by Gradle/Maven et al is skipped. Startup time is extremely fast, since native image seals the heap into the binary itself. The native version of javac produces identical outputs from inputs. It's the same exact code, just AOT-compiled, translated to machine code, and pre-optimized by GraalVM. Of course, native image isn't optimal in all cases. Warm JIT still outperforms NI, but I think most projects never hit fully warmed JIT through Gradle or Maven, because the VM running the compiler so rarely survives for long enough. Elide (the tool used by this plugin) also supports fetching Maven dependencies. When active, it prepares a local m2 root where Gradle can find your dependencies already on-disk when it needs them. Preliminary benchmarking shows a 100x+ gain since lockfiles prevent needless re-resolution and native-imaging the resolver results in a similar gain to the compiler. We (the authors) are very much open to feedback in improving this Gradle plugin or the underlying toolchain. Please, let us know what you think! https://bit.ly/3ZQz9er June 3, 2025 at 08:59PM

Show HN: Datta AI – Get paid when your data trains AI models https://bit.ly/3ZNkQY1

Show HN: Datta AI – Get paid when your data trains AI models We just launched Datta AI, a new platform that flips the AI data model. Right now, AI companies are scraping the internet, collecting massive amounts of user data — and users get nothing. Datta AI is building a data layer where: People connect or upload their data Retain control over how it’s used Earn money when their data powers AI systems It’s like YouTube, but for AI data. We’re just launching the waitlist and would love feedback from the HN community — especially around: How to make data contribution feel meaningful Transparent monetization for contributors Privacy and control at the core Our goal is to build a fairer AI future — powered by people, not just platforms. https://bit.ly/3HqC4nP Happy to answer any questions! — Andrew, Founder of Datta AI https://bit.ly/3HqC4nP June 3, 2025 at 05:26AM

Show HN: Clai – Unixlike vendor agnostic LLM context feeder https://bit.ly/4jHmQsg

Show HN: Clai – Unixlike vendor agnostic LLM context feeder Posting my tool clai again since tooling seems to be a buzz now a days. Clai uses the conversation system and 'custom tools' when approaching coding tasks. This allows the LLMs to query the file system so that it builds the context specifically for the prompted usecase. Codex and Copilot etc usually takes entire repos as context, causing millions and millions of tokens, which of course is expensive. Clai, on the other hand, achieves the same result at lower cost, especially since it's possible to tweak which model to use and design specialized prompts in profiles to achieve certain tasks. I wrote the majority of this tool over a year ago now, only now I've seen the big corporations 'catch up' with codex cli and claude sdk. So the benefit with clai here is that it's vendor agnostic. https://bit.ly/4a7JllR June 3, 2025 at 04:41AM

Show HN: Page Magic: Use AI to customize any web page https://bit.ly/4jBwdcS

Show HN: Page Magic: Use AI to customize any web page I built this Chrome extension (using Claude Code) to help me customize the style of web pages to my liking. It's not perfect, but it does a decent job most of the time. You will need to bring your own Anthropic API key and add it in the settings if you want to try it out. Features: - Use natural language to customize any web page - You can make the changes apply to the current page only or domain-wide - You can see your prompt history for the page and toggle any of them - Cost is tracked using Anthropic pricing and token counts (it may not be 100% accurate, but close enough) Cost per change tends to be around $0.005 depending on page size. Things you can try: - Change the background color, text color, etc. - Remove obnoxiously large hero images - Reduce line spacing - Increase content area width - Remove stickiness of top headers - ... anything you can think up https://bit.ly/3T37KSL June 3, 2025 at 01:24AM

Show HN: Agno – A full-stack framework for building Multi-Agent Systems https://bit.ly/4kMkzwJ

Show HN: Agno – A full-stack framework for building Multi-Agent Systems https://bit.ly/4kQtqgZ June 2, 2025 at 02:18AM

Show HN: I built an AI Agent that uses the iPhone https://bit.ly/3Flpkyl

Show HN: I built an AI Agent that uses the iPhone It’s powered by OpenAI’s GPT 4.1 model. Uses Xcode UI tests + accessibility tree to look into apps, and performs swipes, taps, etc to get things done. https://bit.ly/3HfQ3Np June 2, 2025 at 03:37AM

Show HN: Moon Phase Algorithms for C, Lua, Awk, JavaScript, etc. https://bit.ly/3FsREij

Show HN: Moon Phase Algorithms for C, Lua, Awk, JavaScript, etc. https://bit.ly/43WetnN June 2, 2025 at 12:22AM