Show HN: Trending rust NTP inspection CLI https://ift.tt/zhdsSlt

Show HN: Trending rust NTP inspection CLI Hi y’all, Just came across a crate on crates.io that recently hit v1.0.0. It’s called rkik - basically a "dig for NTP". I hadn’t seen a tool like this in Rust before. Looks pretty handy: it can query and compare NTP servers, output JSON for monitoring, and even run continuous checks. Seems to be getting some traction in the Rust community - might be worth a look if you’re into System administration, networking or DevOps. https://ift.tt/5R64OdK September 4, 2025 at 12:49AM

Show HN: My first Go project, a useless animated bunny sign for your terminal https://ift.tt/SyRLTBX

Show HN: My first Go project, a useless animated bunny sign for your terminal Hi HN, I wanted to share my very first (insignificant) project written in Go: a little CLI tool that displays messages with an animated bunny holding a sign. I wanted to learn Go and needed a small, fun project to get my hands dirty with the language and the process of building and distributing a CLI. I've built a similar tool in JavaScript before so I thought porting it would be a great learning exercise. This was a dive into Go's basics for me, from package structure and CLI flag parsing to building binaries for different platforms (never did that on my JS projects). I'm starting to understand why Go is so praised: it's standard library is huge compared with other languages. One thing that really impressed me was the idea (at some point of this journey) to develop a functionality by myself (where in the javascript original project I choose to use an external library), here with the opportunities that std lib was giving me I thought "why don't try to create the function by miself?" and it worked! In the Js version I used the nodejs "log-update", here I write a dedicated pkg. I know it's a bit silly, but I could see it being used to add some fun to build scripts or idk highlight important log messages, or just make a colleague smile. It's easy to install if you have Go set up: go install github.com/fsgreco/go-bunny-sign/cmd/bunnysign@latest Since I'm new to Go, I would genuinely appreciate any feedback on the code, project structure, or Go best practices. The README also lists my planned next steps, like adding tests and setting up CI better. Thanks for taking a look! https://ift.tt/l2qoQeP August 31, 2025 at 06:46PM

Show HN: PasteVault – An open-source, E2EE pastebin with a VS Code-like editor https://ift.tt/7NxhPnG

Show HN: PasteVault – An open-source, E2EE pastebin with a VS Code-like editor https://pastevault.dev/ September 2, 2025 at 08:10PM

Show HN: Forward Error Correction for Pion WebRTC https://ift.tt/p0vAEMo

Show HN: Forward Error Correction for Pion WebRTC We explain what Forward Error Correction (FEC) is, how and why it works in general, and how you can try it out with a new implementation in the Pion WebRTC stack. https://ift.tt/9zhApYy September 2, 2025 at 06:58PM

Show HN: Neuron – Cognitive Multi-Agent Architecture for Reasoning https://ift.tt/IX0hi21

Show HN: Neuron – Cognitive Multi-Agent Architecture for Reasoning Most orchestration frameworks today still behave like fragile chains — they break when faced with contradictions, long-term memory, or dynamic routing. Neuron is a cognitive multi-agent architecture that thinks in circuits instead of chains. Multiple agents collaborate in parallel, adapt their pathways in real time, and keep persistent context across extended interactions. Key components Agents: Intake, Reasoning, Response, Memory Circuits: Dynamic routing instead of linear chaining Memory: Episodic + contextual persistence Monitoring: Full reasoning traces for observability Why it matters Handles contradictory inputs without collapsing Maintains state across extended sessions Parallel coordination for complex reasoning tasks Transparent logs for debugging & trust GitHub repo: https://ift.tt/sOMrd8u Evaluation Notebook: https://ift.tt/fEGnPQZ... Tutorial Series: https://ift.tt/WyHXVuB... About me / context: https://ift.tt/Ffshnuz... Would love feedback from the HN community — especially if you’ve run into the same breakdown points with traditional tools. September 2, 2025 at 12:13AM

Show HN: woomarks, transfer your Pocket links to this app or self-host it https://ift.tt/9KNMkh5

Show HN: woomarks, transfer your Pocket links to this app or self-host it Pocket is shutting down and I really, really liked it. So I built woomarks, an app that let's you save links with a similar UI. It's very minimal, but it's doing everything I liked from Pocket and you can bulk import your links and use the app or self-host. - Public app that you can test: https://woomarks.com/ - My self-hosted version, where you can see my saves: https://ift.tt/PkzK4ow - Repository if you want to self-host: https://ift.tt/1pK4GhE Export links from Pocket here: https://ift.tt/CwpxB7I the last day will be on October 20025. Features: - Add/Delete links - Search - Tags - Bookmarklet (useful for a 2-click-save) - Data reads from: csv file in server (these links are public) local storage in browser (these links are visible just for the user) - Local storage saving. - Import to local storage from csv file - Export to csv from local storage. - Export to csv from csv file (useful when links are "deleted" using the app and just hidden using a local storage blacklist). - Export to csv from both places. - No external libraries. - Vanilla css code. - Vanilla js code. https://woomarks.com September 1, 2025 at 11:19PM

Show HN: Use "-f**k" to kill Google AI Overview https://ift.tt/aU0I2Jz

Show HN: Use "-f**k" to kill Google AI Overview Not sure this is the right way to post this, but I'm sure quite a few people are as frustrated as I am by the AI enshittification of Google search and would like to know this. I accidentally discovered in a fit of rage against Google Search that if you add an expletive to a search term, the SERP will avoid showing ads and also an AI overview. The good thing is that it works also with the "-" (minus) operator, so you can make sure the expletive is actually not included in the result pages. Try it yourself: search for a fairly generic query that gives you ads and AI overview, and add "-f*k" at the end, uncensored of course. Enjoy a much better search experience. It might be placebo, but it feels like the results are actually better sorted. Edit: edited to avoid HN pro-expletives filter :D September 1, 2025 at 02:24PM

Show HN: Spotilyrics – See synchronized Spotify lyrics inside VS Code https://ift.tt/gIfjXZA

Show HN: Spotilyrics – See synchronized Spotify lyrics inside VS Code https://ift.tt/KMOjwYX September 1, 2025 at 04:39AM

Show HN: Pol/ite – /pol/ but posts are all polite https://ift.tt/qKYghr7

Show HN: Pol/ite – /pol/ but posts are all polite What woud it be like to read fringe political views forcibly made polite by way of LLM? System prompt (gemini-2.5-flash-lite): "You are rewriting 4chan posts to be more polite while preserving their original meaning and tone. Don't add unnecessary verbosity; keep it concise. Make sure to preserve formatting including markdown, links and greentext." https://pol-ite.web.app August 31, 2025 at 09:52PM

Show HN: Oaki–job finder and resume maker https://ift.tt/chCel9U

Show HN: Oaki–job finder and resume maker Hi! I built Oaki about a year ago as a side project to solve my own frustration with job applications, and it’s now helping thousands of users with their job hunt. I had quit my previous (consulting) company when I decided to step back into the job market, and I HATED applying to jobs with a passion. Finding good jobs, sifting through all the crap, etc.etc. So I built a rough MVP and posted it on Reddit and got more paid users than I ever had with any other company/startup I was in. To top that off, I found a really awesome job (and landed many more interviews) with it, so I know from first-hand experience that it works! Oaki’s 3-step flow: 1. Import or build a modern, eye-catching resume in under 2 minutes with Oaki 2. Set preferences (role, location, salary, and more) 3. Oaki finds best-fit jobs daily, generates a slightly tailored resume for each, designed to amplify each users' uniqueness On that last point, we're really big on safe AI use; that means we never use it for spam or 'spray and pray' applications. On the surface it looks pretty simple, but Oaki is powered by some really cool tech, blending ML with LLMs, orchestration, hybrid search, and much much more from finding jobs to printing high quality dynamic resumes, and even helping you apply to jobs. While the job finder itself is free (and all accounts get a free no-credit card trial), I do have to charge people for the AI-generated resumes/applications part. For anyone who needs it or knows someone, I hope it can help with the job search; it's reeeally bad right now. You can also use code `ICAMEFROMHN20` to get 20% off, or DM/email me at nour@oaki.io (I read everything). Cheers! Nour https://www.oaki.io/ September 1, 2025 at 12:37AM

Show HN: Sometimes GitHub is boring, so I made a CLI tool to fix it https://ift.tt/oOyVxdF

Show HN: Sometimes GitHub is boring, so I made a CLI tool to fix it Just wanted to clone a repo from my gh account and visualize it. Pretty easy with gitact. You can check any gh account. It’s called { gitact } quickly navigate through a user’s repos instantly grab the right git clone URL Feedback, stars and PRs are welcome https://ift.tt/W5c2X6u August 31, 2025 at 02:26AM

Show HN: An AI coding tool for unserious projects https://ift.tt/uSgXVtq

Show HN: An AI coding tool for unserious projects Crazy Context is a playful no-code tool to generate project prompts, then turn them into Javascript-based applications in one shot. It has robust version control and a unique approach while super easy to use, cheap and fast. It's perfect for any trial and error type approach. https://ift.tt/JuvTZ5r August 31, 2025 at 02:35AM

Show HN: Give Claude Code control of your browser (open-source) https://ift.tt/gqHIAp9

Show HN: Give Claude Code control of your browser (open-source) As I started to use Claude Code to do more random tasks I realized I could basically build any CLI tool and it would use it. So I built one that controls the browser and open-sourced it. It should work with Codex or any other CLI-based agent! I have a long term idea where the models are all local and then the tool is privacy preserving because it's easy to remove PII from text, but I'd definitely not recommend using this for anything important just yet. You'll need a Gemini key until I (or someone else) figure out how to distill a local version out of that part of the pipeline. Github link: https://ift.tt/DESQj6r https://www.cli-agents.click/ August 30, 2025 at 11:37PM

Show HN: Readn – Feed reader with Hacker News support https://ift.tt/sbWjGkC

Show HN: Readn – Feed reader with Hacker News support This feed reader can fetch and display discussion threads from Hacker News and Lobste.rs, making it convenient to follow both articles and the conversations around them. It’s a fork of the original Yarr project, whose author considers it feature-complete and is no longer accepting feature requests. https://ift.tt/7bv16jl August 30, 2025 at 12:01AM

Show HN: An open source implementation of OpenStreetMap in Electron https://ift.tt/mMcb5I0

Show HN: An open source implementation of OpenStreetMap in Electron https://ift.tt/ZhHvrs5 August 30, 2025 at 02:14AM

Show HN: Magic links – Get video and dev logs without installing anything https://ift.tt/y1eFPxo

Show HN: Magic links – Get video and dev logs without installing anything Hey HN, For a while now, our team has been trying to solve a common problem: getting all the context needed to debug a bug report without the endless back-and-forth. It’s hard to fix what you can't see, and console logs, network requests, and other dev data are usually missing from bug reports. We’ve been working on a new tool called Recording Links. The idea is simple: you send a link to a user or teammate, and when they record their screen to show an issue, the link automatically captures a video of the problem along with all the dev context, like console logs and network requests. Our goal is to make it so you can get a complete, debuggable bug report in one go. We think this can save a ton of time that's normally spent on follow-up calls and emails. We’re a small team and would genuinely appreciate your thoughts on this. Is this a problem you face? How would you improve this? Any and all feedback—positive or critical—would be incredibly helpful as we continue to build. PS - you can try it out from here: https://ift.tt/S0xEJTy August 27, 2025 at 10:21AM

Show HN: Smart Buildings Powered by SparkplugB, Aklivity Zilla, and Kafka https://ift.tt/HvQaZN9

Show HN: Smart Buildings Powered by SparkplugB, Aklivity Zilla, and Kafka https://ift.tt/CJ6xuyX August 29, 2025 at 03:03AM

Show HN: A private, flat monthly subscription for open-source LLMs https://ift.tt/q2m8hdw

Show HN: A private, flat monthly subscription for open-source LLMs Hey HN! We've run our privacy-focused open-source inference company for a while now, and we're launching a flat monthly subscription similar to Anthropic's. It should work with Cline, Roo, KiloCode, Aider, etc — any OpenAI-compatible API client should do. The rate limits at every tier are higher than the Claude rate limits, so even if you prefer using Claude it can be a helpful backup for when you're rate limited, for a pretty low price. Let me know if you have any feedback! https://ift.tt/PxrRW43 August 29, 2025 at 12:33AM

Show HN: Knowledgework – AI Extensions of Your Coworkers https://ift.tt/F6SPXoJ

Show HN: Knowledgework – AI Extensions of Your Coworkers Hey HN! We’re building Knowledgework.ai, which creates AI clones of your coworkers that actually know what they know. It's like having a version of each teammate that never sleeps, never judges you for asking "dumb" questions, and responds instantly. As a SWE at Amazon, I constantly faced two frustrations: 1. Getting interrupted on Slack all day with questions I'd already answered 2. Waiting hours (or days) for responses when I needed information from teammates When you compare this to the UX of an AI chatbot, humans start to look pretty inconvenient! It’s a bit of a wild take, but it’s really been reflected in my conversations with dozens of engineers, and especially juniors: people would rather spend 20 minutes wrestling with an unreliable AI than risk looking ignorant or wasting their coworkers’ time. One of my early users actually tried the product and told me she’s a bit worried her coworkers would prefer talking to her AI extension over talking to her! Here’s how it works: It’s a desktop app (mac only right now) that captures screenshots every 5 seconds while you work. It uses a bespoke, ultra-long context vision model (OCR isn’t enough, and generic models are far too expensive!) to understand what you're doing and automatically builds a searchable, hyperlinked knowledge base (wiki) of everything you work on - code you write, bugs you fix, decisions you make, or anything else you do on a computer that could be useful to you or your team’s productivity in the future. Even if you just turn on Knowledgework for ~30 mins while working on a personal project, I think you’ll find what it produces to be really interesting — something I’ve learned is that we tend to underestimate the extent of the valuable information we produce every day that is just ephemeral and forgotten. There’s also some really great opportunities surrounding quantified self and reflection — just ask it how you could have been more productive yesterday or how you could come across better in your meetings. The real value comes when your teammates can query your "Extension" - an AI agent that has access to all (only what you choose to share) of your captured work context. Imagine your coworker is on vacation, but you can still ask their Extension: "I'm trying to deploy a new Celery worker. It's gossiping but not receiving tasks. Have you seen this before?" We’ve spent a great deal of effort on optimizing for privacy as a priority; not just in terms of encryption and data security, but in terms of modulating what your Extension will divulge in a relationship appropriate way, and how you can configure this. By default, nothing is shared. In a team setting, you can choose to share your Extension with particular individuals. You can, in a fine-grained manner, grant and revoke access to portions of your time, or if you are on a tight-knit team, you can just leave it to AI to decide what makes sense to be accessed. This is the area we’re most excited to get feedback on, so we’re really aiming this launch at small, tight knit teams who care about speed and productivity at all costs who use Macs, Slack, Notion, and are all on Claude Code Max plans. We’re also working on SOC II type 2 compliance and can do on-prem, although on-prem will be quite expensive. If you’re curious about on-prem or additional certifications, I’d love to chat - griffin@knowledgework.ai. Check it out here: https://ift.tt/RQOltZ8 We’ve opened it up today for anyone to install and use for free. If you’re seeing this after Thursday 8/28, we’ll likely have put back the code wall — but we’d be happy to give codes to anyone who reaches out to griffin@knowledgework.ai https://ift.tt/RQOltZ8 August 29, 2025 at 12:11AM

Show HN: Persistent Mind Model (PMM) – Update: an model-agnostic "mind-layer" https://ift.tt/YEyz26K

Show HN: Persistent Mind Model (PMM) – Update: an model-agnostic "mind-layer" A few weeks ago I shared the Persistent Mind Model (PMM) — a Python framework for giving an AI assistant a durable identity and memory across sessions, devices, and even model back-ends. Since then, I’ve added some big updates: - DevTaskManager — PMM can now autonomously open, track, and close its own development tasks, with event-logged lifecycle (task_created, task_progress, task_closed). - BehaviorEngine hook — scans replies for artifacts (e.g. Done: lines, PR links, file references) and uto-generates evidence events; commitments now close with confidence thresholds instead of vibes. - Autonomy probes — new API endpoints (/autonomy/tasks, /autonomy/status) expose live metrics: open tasks, commitment close rates, reflection contract pass-rate, drift signals. - Slow-burn evolution — identity and personality traits evolve steadily through reflections and “drift,” rather than resetting each session. Why this matters: Most agent frameworks feel impressive for a single run but collapse without continuity. PMM is different: it keeps an append-only event chain (SQLite hash-chained), a JSON self-model, and evidence-gated commitments. That means it can persist identity and behavior across LLMs — swap OpenAI for a local Ollama model and the “mind” stays intact. In simple terms: PMM is an AI that remembers, stays consistent, and slowly develops a self-referential identity over time. Right now the evolution of it "identity" is slow, for stability and testing reasons, but it works. I’d love feedback on: What you’d want from an “AI mind-layer” like this. Whether the probes (metrics, pass-rate, evidence ratio) surface the right signals. How you’d imagine using something like this (personal assistant, embodied agent, research tool?). https://ift.tt/zchFrTO August 29, 2025 at 12:04AM