The best Hacker News stories from Show from the past day
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Show HN: PMB – local memory for coding agents that shows if it is used
Show HN: Frond – a frontend runtime for your app's dependency graph
Show HN: Salt – a systems language with Z3 theorem proving in the compiler
Show HN: Pglayers – PostgreSQL extensions as stackable Docker layers
Show HN: Z-Jail – A 130 KB Linux sandbox-C99 with 7 defense layers and zero deps
Show HN: HackerNows – Native iOS HN Client
Show HN: QR code renderer in a TrueType font
In the "Libre Barcode Project" discussion yesterday, 1bpp asked: "Is anyone willing to sacrifice their sanity for the sake of implementing a QR renderer as TTF hinting code?"<p>Yes. I had some tokens to burn and was curious... turns out, it's possible. This was put together by a mix of Gemini, GPT, and Claude (depending on which usage limits kept running out).
Show HN: GolemUI – Declarative Form Engine
We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience.<p>We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring.<p>This library has a lot to offer. These are the main characteristics:<p>1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, diff, or generate it with LLMs as a validated JSON.<p>2. We provide also 28 headless components (and growing) that you can style with CSS variables. We offer APIs so you can drop in Material, Shoelace, or your own components.<p>3. A DX typed authoring layer on top to write forms programmatically, that generates JSON. So you don't have to write it.<p>4. The same definition can render the UI components in React, Angular, Vue, Lit, or Vanilla JS.<p>5. We also have a deterministic MCP that has tools for to validate the model's output, generate JSONs or code, and ensure that the definition returned by the LLM is always valid.<p>You can find more information here:<p>Happy to hear any feedback from you and answer any questions!
Show HN: Searchable directory of 22k+ products from worker-owned co-ops
Show HN: Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit
A 15-year-old dream has come true today. I started a PhD with the dream of creating a system that chants any Sanskrit shloka perfectly.<p>And here I am opening sourcing Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit . This is the world's first vrutta-aware, open-source TTS for Sanskrit Chanting. I am making the model weights, training scripts, and even data (that I meticulously collected) public - <a href="https://prathosh.in/vagdhenu/" rel="nofollow">https://prathosh.in/vagdhenu/</a><p>No large AI lab. No big engineering team. No venture-scale budget. Just a professor's conviction that one of humanity's oldest knowledge traditions deserves modern, open infrastructure.<p>The name comes from the Upanishadic phrase: "Vācaṃ dhenum upāsīta" - Like the mythical wish-fulfilling cow, Vāgdhenu is intended to make Sanskrit texts more accessible to students, teachers, researchers, and devotees everywhere.<p>Test out the live demo here and let me know your comments - <a href="https://prathosh.in/vagdhenu/" rel="nofollow">https://prathosh.in/vagdhenu/</a><p>The entire system, from data collection to model building and demos, is built by a single person (your truly) using the powerful harness that we are building at LatentForce.<p>I have attached a sample audio file generated by the system.<p>P.S: Posting on behalf of my friend, their aren't on HN.
Show HN: Agentic Orchestrator, a TUI for long-running coding agents
Hello Folks!<p>Agentic Orchestrator is a terminal tool that takes complex feature requests and builds them by orchestrating coding agents through a series of phases that emulate a full-fledged engineering flow: requirements clarification, research, design, multi-phase planning, implementation, and review. It is a single pane of glass for all your features and exposes post-publish utilities such as resolving merge conflicts and responding to review comments.<p>The key design choice is that this is deterministic orchestration on top of undeterministic agents: things like "human review gates", phase transitions, and artifact validations are all done by the harness in GO, while the agents take on "bite-sized" tasks.<p>In the lifecycle of a feature, human judgment is typically needed during the "first half" of the workflow (from clarification to planning), depending on how much the developer wants to be involved. The "second half" (multi-phased implementation/review loop) typically executes while "AFK" unless the tool is unable to make progress without human intervention.<p>Agentic Orchestrator is Apache2.0 and can be installed via Homebrew. You should be able to run it on macOS, Linux and WSL as long as you have `gh` and at least one of the following coding agents: OpenCode (tested with GLM-5.2), Codex, or Claude Code. While having a single coding agent is enough, in my setup I like to mix and match different agents/models for different phases (eg: claude/opus4.7 for planning, opencode/glm5.2 for implementing, codex/gpt5.5 for reviewing).<p>I hope you enjoy it. Happy to answer any questions!
Show HN: Classic Minesweeper
Show HN: Bored People Chat – Anonymous global chat room
Bored People Chat is a minimal, anonymous global chat room inspired by the old internet that doesn't have sign-up, ads or bots. With a goal of cleaning up the bad reputation of previous anonymous chats, it’s a tiny website that has a single public global room. I purposefully didn't implement the ability to DM in here, and added moderation and filtering for anything that looks like personal information.
Only a global public room exist where there are eyes of others.<p>I built this because I personally wanted a space where I can always come back to, to meet and talk with strangers but also feel safe. It is mostly from nostalgia from old chat rooms and MMORPGs where I was able to make real deep connections online with people I haven't really seen faces of.<p>I already see a few people who regularly start coming back because they feel lonely, bored or just curious. Some might've just moved to a new place, or have other reasons why it is difficult to meet people in real life. It has really meant a lot to be able to provide a small space like this for people to gather, feel the presence of others and talk about their life.<p>My main focus is on the safety and moderation so I can continue to provide a safe space to talk. I believe this is achievable with help of modern AI agents that can automate the flagged chats and repeat offenders.<p>I’d really appreciate some genuine feedback. Thanks.
Show HN: PDFMergely – In-browser PDF tools that never upload your files
Show HN: I made a heatmap of 3400 VCs who are open to cold emails
Show HN: My 13-year-old built an ant colony tracker
He's 13 years old. He wanted to track his own ant colonies — growth, feeding, humidity, and other metrics. He built the whole app himself with some help from AI tools; I just helped him deploy it to a server. Would love to hear your feedback!
Show HN: My 13-year-old built an ant colony tracker
He's 13 years old. He wanted to track his own ant colonies — growth, feeding, humidity, and other metrics. He built the whole app himself with some help from AI tools; I just helped him deploy it to a server. Would love to hear your feedback!
Show HN: Metaspec: The DpANS3R Common Lisp Spec in S-Expr and HTML Format
I started this project back in 2015, to translate the TeX original specification into an easily parsed format (s-doc), and to create an HTML rendering of that format as a proof of concept.<p>The project is homed here: <a href="https://codeberg.org/dlowe/metaspectre/" rel="nofollow">https://codeberg.org/dlowe/metaspectre/</a><p>Differences from the Hyperspec (from the README):<p><pre><code> - Most importantly, it is free to modify and distribute.
- The original TeX is very hard to parse and use for things other than
generating a printed copy. The Hyperspec is an HTML rendering which
can be parsed as HTML, but loses a lot of information. The Metaspec
has an easily parsed intermediate form that can be used for all kinds
of purposes, like converting into lookups.
- Math equations are rendered using MathML.
- Includes the acknowledgements and appendix sections.
- Uses progressively enhanced Javascript to provide search and
light/dark theme switching.
- Incorporates over 145 patches for content, using corrections
accumulated over the years, and documented in the errata page.
- Includes TeX comments, which can contain interesting historical data.
- Includes links and identifiers to bibliographical references.</code></pre>
Show HN: Running a vision model on every screenshot on-device
hi author here, Screenmind is privacy first Microsoft recall alternative .
It runs on gemma 4 which is one of the fewer models supporting vision audio and reasoning all 3, so your data never leaves you machine.<p>With screenmind you can keep a track of your timeline , how much time you spent on what..search any screenshot with any text on it.. and the coolest thing, you can chat with your screen history, like what did alex texted me on discord or did i received any mail from Microsoft, if it was on your screen , you can prompt it in the cha. and also you can make automations on top of it, like send me my whole day report on slack(it has integrations )..you can also write automation either though plain English for not so coders or use the python for devs who want to deep dive, and you can save voice memos(with a screenshot) with just a hotkey, and get you meeting transcribed and summarised(auto detects meeting)<p>the hardest part which i faced was keep running screenmind as a background service it would not have been not hard if chat feature didn't existed, as running local model requires compute ..and keep analyzing screenshots continuously will keep all the resouces hogged up for that i came up with a perceptual has cache .. the three tier cache system reduces inference upto 40% for an average user(which is me)..and to reduce the inference time more i came up with three modes..fast balanced and accurate..where the tradeoff is between time and accuracy<p>for now i use it daily on my 4gb gtx 1650 with fast mode, works pretty fine also it would be much faster on high end machine , it also has a mcp server so you can just ask claude desktop/cursor about the bug you saw in morning..<p>supports windows/mac/Linux<p>being upfront about rough edges , it is not extensively tested on mac and installation has some friction , for which i m working on one click installer thing<p>(reposting- i put up an earlier version a few days back, comments got flagged cuz of new account so couldn't reply to any )<p>repo:github.com/ayushh0110/ScreenMind<p>curious about anyone have idea for how to approach multi monitor support
Show HN: Appaca – AI Workspace for Operators
Appaca is my third pivot.<p>A couple of years ago, I started working on an idea on no-code platform that generates code. The goal is to help devs and agencies ship products faster for their clients. I went through Antler startup accelerator and got initial funding. I was working on the right problem, but wrong solution. Instead of no-code, I should have jumped into LLM a lot earlier. I felt defeated when Lovable, Base44, and Bolt came out strong, showing the world what LLMs can do in software development. No one cared about my product anymore.<p>I pivoted my startup second time after that, to an AI agent builder for businesses. After my first MVP launched, I got some decent tractions with that. A lot of people wanted to make AI agents that they can monetise. So, I focused on making a platform that helps them build and ship monetisable AI agents. The product made some revenues, but the churn was super high. Later, more mature companies like Zapier and N8N started their AI agents. My competitors in the US and Europe are raising serious money. As a solo founder in Australia, I couldn't get the funding to compete with them. I realised some of my users are using it for their internal operations.<p>So, my last pivot before running out of my current runway is Appaca. With my experience building an app builder to AI agent builder, I rebuilt the entire platform and make it an AI workspace where the team can build and run their internal ops tools by chatting with AI, and connect tools with their existing system. This space seems a bit competitive as well. But, I have a conviction that Appaca can be the platform people use to run their businesses.<p>Appaca is different from general vibe coding tools. The goal of Appaca is to give users a user experience, rather than a builder experience. All apps built on Appaca runs directly in the platform without any concept of hosting, deployment or bug fixing. I want people who use Appaca to feel like the platform itself evolves and adapts to the way they work. Each tools they created should feel like it's part of Appaca. It's still in a very early stage. I am currently working on the right positioning and messaging.<p>I hope you give it a go, and please let me know your honest thoughts. Thanks.