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[Other] ZUSE: IRC terminal client

[Other] Show HN: Open-source physical rack-mounted GUI for home lab I have realized that a lot of people nowadays self-host services and set up home labs with mini racks.<p>One major pain point I have come across personally is to quickly get health status from self-hosted services and machines, and have the ability to headlessly control my Raspberry Pi inside a mini rack.<p>So It got me thinking about building a built-in GUI that users can easily add to their Raspberry Pi nodes in their (mini or full) racks or elsewhere.<p>I have previously designed this GUI for an open source project I have been working on (called Ubo pod: github.com&#x2F;ubopod) and decided to detach&#x2F;decouple the GUI into its own standalone module for this use case.<p>The GUI allows headless control of your Raspberry Pi, monitoring of system resources, and application status.<p>I am designing a new PCB and enclosure as part of this re-design to allow for a new form factor that mounts on server racks.<p>I am recording my journey of re-designing this and I would love to get early feedback from users to better understand what they may need or require from such a solution, specially on the hardware side.<p>The software behind the GUI is quite mature (<a href="https:&#x2F;&#x2F;github.com&#x2F;ubopod&#x2F;ubo_app">https:&#x2F;&#x2F;github.com&#x2F;ubopod&#x2F;ubo_app</a>) and you can actually try it right now without the hardware inside the web browser as shown in the video:<p><a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=9Ob_HDO66_8" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=9Ob_HDO66_8</a><p>All PCB designs are available here:<p><a href="https:&#x2F;&#x2F;github.com&#x2F;ubopod&#x2F;ubo-pcb">https:&#x2F;&#x2F;github.com&#x2F;ubopod&#x2F;ubo-pcb</a>

[Other] Show HN: Flyde 1.0 – Like n8n, but in your codebase Hi HN!<p>I&#x27;m excited to share Flyde 1.0. A big update to the open-source visual programming tool I launched here in March of last year (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39628285">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39628285</a>).<p>Since Flyde’s launch, there&#x27;s been a huge rise in demand for visual builders, especially for AI-heavy workflows. Visual-programming shines with async and concurrency-heavy logic, which describes most LLM chains perfectly.<p>A few months ago, I tried to capitalize on this trend by launching a commercial version of Flyde called Flowcode (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43830193">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43830193</a>). It didn&#x27;t go well. I learned the hard way that Flyde’s strength wasn&#x27;t just about flexibility or performance compared to tools like n8n. The real value was always how Flyde fits inside your <i>existing codebase</i>. The launch also helped me understand that there&#x27;s still a big gap: no tool really covers the full lifecycle, from rapid prototyping to deep integration, evaluation, and iteration inside your own projects.<p>So, over the last few months, I worked hard to polish Flyde: - Cleaned up and simplified the nodes API - Made it possible to fork any node for maximum flexibility - Launched a new online playground for quick experimenting and sharing (<a href="https:&#x2F;&#x2F;www.flyde.dev&#x2F;playground" rel="nofollow">https:&#x2F;&#x2F;www.flyde.dev&#x2F;playground</a>) - Created a new CLI tool to speed up development and setup - Fixed a ton of bugs - Simplified the UI&#x2F;UX to make it smoother and less confusing<p>There’s still a lot of missing stuff. Better templates, docs, and nodes, but I think it’s finally stable and useful enough to give it another shot.<p>My plan is to first make sure that Flyde is usable and valuable as an OS project, and then try to provide additional value via “Flyde Studio” - a SaaS that will help non-engineers iterate on Flyde flows from a web-app. Changes become a PR in the host repo.<p>I&#x27;d really love some honest feedback and hear whether Flyde resonates with an existing pain&#x2F;problem.<p>Check it out here: Playground: <a href="https:&#x2F;&#x2F;www.flyde.dev&#x2F;playground" rel="nofollow">https:&#x2F;&#x2F;www.flyde.dev&#x2F;playground</a><p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;flydelabs&#x2F;flyde">https:&#x2F;&#x2F;github.com&#x2F;flydelabs&#x2F;flyde</a><p>Looking forward to hearing your thoughts! - Gabriel

[Code Quality] Show HN: Dlg – Zero-cost printf-style debugging for Go Hey HN,<p>I tend to use printf-style debugging as my primary troubleshooting method and only resort to gdb as a last resort.<p>While I like its ease of use printf debugging isn&#x27;t without its annoyances, namely removing the print statements once you&#x27;re done.<p>I used to use trace-level logging from proper logging libraries but adding trace calls in every corner quickly gets out of control and results in an overwhelming amount of output.<p>To scratch my own itch I created dlg - a minimal debugging library that disappears completely from production builds. Its API exposes just a single function, Printf [1].<p>dlg is optimized for performance in debug builds and, most importantly, when compiled without the dlg build tag, all calls are eliminated by the Go linker as if dlg was never imported.<p>For debug builds it adds optional stack trace generation configurable via environment variables or linker flags.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;vvvvv&#x2F;dlg">https:&#x2F;&#x2F;github.com&#x2F;vvvvv&#x2F;dlg</a><p>Any feedback is much appreciated.<p>[1]: Actually two functions - there&#x27;s also SetOutput.

[Other] Performance and Telemetry Analysis of Trae IDE, ByteDance's VSCode Fork Hi HN, I was evaluating IDEs for a personal project and decided to test Trae, ByteDance&#x27;s fork of VSCode. I immediately noticed some significant performance and privacy issues that I felt were worth sharing. I&#x27;ve written up a full analysis with screenshots, network logs, and data payloads in the linked post.<p>Here are the key findings:<p>1. Extreme Resource Consumption: Out of the box, Trae used 6.3x more RAM (~5.7 GB) and spawned 3.7x more processes (33 total) than a standard VSCode setup with the same project open. The team has since made improvements, but it&#x27;s still significantly heavier.<p>2. Telemetry Opt-Out Doesn&#x27;t Work (It Makes It Worse): I found Trae was constantly sending data to ByteDance servers (byteoversea.com). I went into the settings and disabled all telemetry. To my surprise, this didn&#x27;t stop the traffic. In fact, it increased the frequency of batch data collection. The telemetry &quot;off&quot; switch appears to be purely cosmetic.<p>3. What&#x27;s Being Sent: Even with telemetry &quot;disabled,&quot; Trae sends detailed payloads including: Hardware specs (CPU, memory, etc.) Persistent user, device, and machine IDs OS version, app language, user name Granular usage data like time-on-ide, window focus state, and active file types.<p>4. Community Censorship: When I tried to discuss these findings on their official Discord, my posts were deleted and my account was muted for 7 days. It seems words like &quot;track&quot; trigger an automated gag rule, which prevents any real discussion about privacy.<p>I believe developers should be aware of this behavior. The combination of resource drain, non-functional privacy settings, and censorship of technical feedback is a major red flag. The full, detailed analysis with all the evidence (process lists, Fiddler captures, JSON payloads, and screenshots of the Discord moderation) is available at the link. Happy to answer any questions.

[Other] Examples and tutorials to help developers build AI systems

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[Other] The universal text transformer A free online tool for developers, writers, and anyone who works with text. Clean, reformat, and extract information from any text with ease. Features include case conversion, whitespace removal, AI-powered formatting, and data extraction. Email etc.

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[Other] Get reminders and keep your vehicles in perfect condition ServiceDay is a comprehensive fleet maintenance management system designed to automate vehicle service tracking, compliance monitoring, and preventive maintenance scheduling for fleet operators.

[Other] AI-powered crypto research tools for smarter decisions Pump Parade is an AI-powered crypto discovery platform that helps traders find promising altcoins early. Access real-time data, advanced filters, sentiment data, and project analysis to separate real opportunities from hype. Make smarter decisions, faster.

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[Other] Show HN: Cant, rust nn lib for learning Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.

[Other] Show HN: Convert from MIDI file to ASCII tablature (and more) Hi folks,<p>About seven months ago, via HN, I got nerdsniped into a silly guitar transcription problem and made a bunch of really senseless code but what came out of it was what I thought at the time could potentially be pretty useful - a guitar fretboard mapper and fingering scoring algorithm.<p>So as of yesterday morning I&#x27;ve finally put those bits of code to &quot;good&quot; use, creating gtrsnipe to convert between MIDI files (.mid) and ASCII tab (as well as VexTab and ABC notation) and any combination&#x2F;direction among the set of formats.<p>gtrsnipe tries to intelligently find the best neck and fingering positions using a note to fretboard mapper and a scoring algorithm that is unavoidably shaped by my subjective opinions and skills as a player but it does its best to avoid objectively impossible fingerings.<p>See the example tabs and usage in the README and please, try your own transcriptions from MIDI and if you love or hate the arrangement it gives you, I&#x27;d love to hear about it so I can further refine the scoring algorithm.<p>Thanks!

[Other] Asyncio: A library with too many sharp corners

[Other] The Sail instruction-set semantics specification language

[Other] Show HN: I made a web app for structured podcast summaries Hey HN,<p>I follow a lot of podcasts and the episodes are often 2-3 hours long, so I made a web app that gives me a structured podcast summary with applicable habits and recommendations.<p>My goal isn’t to discourage you from listening to the podcast, but rather to help you decide whether the episode is worthwhile and to provide notes.<p>The endgame is to give you a personal feed of podcasts that you follow, maybe even deliver it to your inbox or via RSS.<p>My tech stack is quite simple - React Router(v7), node.js and PostgreSQL with Redis. I&#x27;m using OpenAI API to generate the summary from the episode transcript.